[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-search-\u002Fde-us\u002Fjobs-by-skill\u002Fsnowflake?page=2":3,"seo-content-skill-snowflake-us":688,"skill-page-filters-\u002Fde-us\u002Fjobs-by-skill\u002Fsnowflake?page=2":718,"featured-jobs-\u002Fde-us\u002Fjobs-by-skill\u002Fsnowflake?page=2":890},{"total":4,"jobs":5},78,[6,53,105,129,173,219,250,284,310,339,362,389,443,470,511,537,576,596,615,653],{"id":7,"slug":8,"title":9,"raw_title":10,"is_featured":11,"company":12,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":15,"processed_country_iso_code_gmaps":17,"processed_home_office":19,"processed_salary_min":20,"processed_salary_max":21,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":24,"processed_employment_types":26,"processed_it_skills":27,"processed_it_skills_labels":30,"processed_job_expertise_skills":39,"processed_job_expertise_skills_labels":40,"max_cpc":51,"actual_cpc":52},83826,"business-analytics-analyst-iii-government-employees-insurance-company","Business Analytics Analyst III",null,false,{"name":13,"slug":14,"logo_url":10},"Government Employees Insurance Company","government-employees-insurance-company",[16],"Dallas",[18],"US","hybrid",80000,120000,"USD","estimated",[25],"FULL_TIME","permanent",{"sas":28,"sql":28,"oracle":28,"power bi":29,"snowflake":28,"sharepoint":29,"microsoft excel":29,"microsoft office suite":29},3,4,[31,32,33,34,35,36,37,38],"Power BI","SharePoint","Microsoft Excel","Microsoft Office Suite","SQL","SAS","Oracle","Snowflake",{"automation":28,"data analysis":29,"business analysis":29,"data visualization":29,"report development":29,"strategic planning":28,"customer experience":29,"process improvement":29,"dashboard development":29,"insurance industry knowledge":29},[41,42,43,44,45,46,47,48,49,50],"Business Analysis","Data Analysis","Process Improvement","Customer Experience","Insurance Industry Knowledge","Report Development","Dashboard Development","Data Visualization","Strategic Planning","Automation",1,1.5,{"id":54,"slug":55,"title":56,"raw_title":10,"is_featured":11,"company":57,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":60,"processed_country_iso_code_gmaps":61,"processed_home_office":19,"processed_salary_min":62,"processed_salary_max":63,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":64,"processed_employment_types":10,"processed_it_skills":65,"processed_it_skills_labels":66,"processed_job_expertise_skills":79,"processed_job_expertise_skills_labels":80,"max_cpc":51,"actual_cpc":52},87401,"principal-architect-gen-ai-sedgwick-claims-management-services-inc","Principal Architect - Gen AI",{"name":58,"slug":59,"logo_url":10},"Sedgwick Claims Management Services Inc.","sedgwick-claims-management-services-inc",[],[18],180000,250000,[25],{"aws":29,"sql":29,"azure":29,"crewai":29,"python":29,"pyspark":29,"pinecone":29,"langgraph":29,"snowflake":28,"databricks":28,"opensearch":29,"palantir aip":28,"azure ai search":29,"palantir foundry":28},[67,35,68,69,70,71,72,73,74,75,76,77,78,38],"Python","PySpark","AWS","Azure","LangGraph","CrewAI","Pinecone","OpenSearch","Azure AI Search","Palantir Foundry","Palantir AIP","Databricks",{"agentic ai":29,"compliance":29,"ai strategy":29,"data science":29,"ai governance":29,"generative ai":29,"llm platforms":29,"ai engineering":29,"responsible ai":29,"risk management":29,"model governance":29,"data architecture":29,"value realization":29,"vendor management":28,"cloud architecture":29,"portfolio management":29,"platform architecture":29,"solution architecture":29,"knowledge architecture":29,"enterprise architecture":29,"multi-agent orchestration":29,"transformation leadership":29,"ai\u002Fml lifecycle management":29,"retrieval-augmented generation (rag)":29},[81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104],"Enterprise Architecture","AI Governance","Generative AI","Agentic AI","Retrieval-Augmented Generation (RAG)","Platform Architecture","Solution Architecture","AI Strategy","Risk Management","Compliance","Data Architecture","Knowledge Architecture","Portfolio Management","Value Realization","Transformation Leadership","Vendor Management","Model Governance","Responsible AI","Cloud Architecture","Multi-Agent Orchestration","LLM Platforms","AI\u002FML Lifecycle Management","Data Science","AI Engineering",{"id":106,"slug":107,"title":108,"raw_title":10,"is_featured":11,"company":109,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":112,"processed_country_iso_code_gmaps":114,"processed_home_office":19,"processed_salary_min":115,"processed_salary_max":116,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":117,"processed_employment_types":26,"processed_it_skills":118,"processed_it_skills_labels":119,"processed_job_expertise_skills":122,"processed_job_expertise_skills_labels":124,"max_cpc":51,"actual_cpc":52},72822,"senior-business-intelligence-analyst-great-american-insurance-company","Senior Business Intelligence Analyst",{"name":110,"slug":111,"logo_url":10},"Great American Insurance Company","great-american-insurance-company",[113],"Cincinnati",[18],100000,140000,[25],{"etl":28,"sql":29,"python":28,"tableau":28,"power bi":28,"snowflake":28},[35,120,31,67,38,121],"Tableau","ETL",{"agile\u002Fscrum":123,"data analysis":29,"data modeling":28,"data governance":28,"business intelligence":29},2,[125,42,126,127,128],"Business Intelligence","Data Modeling","Data Governance","Agile\u002FScrum",{"id":130,"slug":131,"title":132,"raw_title":10,"is_featured":11,"company":133,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":134,"processed_country_iso_code_gmaps":136,"processed_home_office":19,"processed_salary_min":137,"processed_salary_max":138,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":139,"processed_employment_types":26,"processed_it_skills":140,"processed_it_skills_labels":141,"processed_job_expertise_skills":164,"processed_job_expertise_skills_labels":165,"max_cpc":51,"actual_cpc":52},83790,"senior-staff-machine-learning-engineer-government-employees-insurance-company-2","Senior Staff Machine Learning Engineer",{"name":13,"slug":14,"logo_url":10},[135],"Palo Alto",[18],150000,300000,[25],{"c#":29,"aws":29,"c++":29,"ray":29,"java":29,"azure":29,"kafka":29,"python":29,"qdrant":29,"mongodb":29,"testing":29,"temporal":29,"cassandra":29,"snowflake":29,"kubernetes":29,"postgresql":29,"apache spark":29,"elasticsearch":29,"generative ai":29,"apache airflow":29,"ci\u002Fcd pipelines":29,"version control":29,"context management":29,"production support":29,"monitoring & alerting":29,"robotic process automation":29,"llms (gpt, llama, mistral, claude)":29},[142,143,67,144,145,146,38,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,70,69,163,83],"Java","C++","C#","Elasticsearch","Qdrant","Kafka","PostgreSQL","MongoDB","Cassandra","Apache Spark","Ray","Apache Airflow","Temporal","Robotic Process Automation","Context Management","Version Control","CI\u002FCD Pipelines","Kubernetes","Testing","Monitoring & Alerting","Production Support","LLMs (GPT, Llama, Mistral, Claude)",{"system design":29,"cloud architecture":29,"software development":29,"technical roadmapping":29,"generative ai workflows":29,"engineering best practices":29,"ai\u002Fml platform architecture":29,"software development life cycle management":29},[166,167,168,169,99,170,171,172],"Software Development","AI\u002FML Platform Architecture","System Design","Software Development Life Cycle Management","Generative AI Workflows","Technical Roadmapping","Engineering Best Practices",{"id":174,"slug":175,"title":176,"raw_title":10,"is_featured":11,"company":177,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":180,"processed_country_iso_code_gmaps":182,"processed_home_office":183,"processed_salary_min":21,"processed_salary_max":184,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":185,"processed_employment_types":26,"processed_it_skills":186,"processed_it_skills_labels":187,"processed_job_expertise_skills":198,"processed_job_expertise_skills_labels":199,"max_cpc":51,"actual_cpc":52},69355,"technical-project-manager-retail-data-ai-products-brown-brown-inc","Technical Project Manager – Retail Data & AI Products",{"name":178,"slug":179,"logo_url":10},"Brown & Brown, Inc","brown-brown-inc",[181],"Plano",[18],"onsite",160000,[25],{"azure":28,"kafka":123,"spark":123,"copilot":123,"snowflake":28,"databricks":28,"azure devops":28,"google cloud":123,"ai\u002Fml platforms":28,"etl\u002Felt pipelines":28,"ai-assisted development":123,"streaming\u002Fbatch architecture":28,"distributed systems and architecture principles":28,"data platforms (data lakes, warehouses, pipelines)":29},[70,188,78,38,189,147,190,191,192,193,194,195,196,197],"Google Cloud","Spark","Azure DevOps","AI\u002FML platforms","ETL\u002FELT pipelines","Streaming\u002Fbatch architecture","Data platforms (data lakes, warehouses, pipelines)","Distributed systems and architecture principles","Copilot","AI-assisted development",{"finops":28,"budgeting":29,"forecasting":29,"ai governance":28,"cost tracking":29,"agile delivery":29,"uat frameworks":29,"data governance":29,"risk management":29,"quality assurance":29,"vendor management":28,"program management":29,"roadmap management":29,"testing strategies":29,"data transformation":29,"financial management":29,"portfolio management":29,"continuous improvement":29,"hybrid delivery models":29},[200,201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,216,217,218],"Program management","Data transformation","Data governance","AI governance","Financial management","Budgeting","Forecasting","Cost tracking","FinOps","Agile delivery","Hybrid delivery models","Portfolio management","Roadmap management","Risk management","Quality assurance","Testing strategies","UAT frameworks","Continuous improvement","Vendor management",{"id":220,"slug":221,"title":222,"raw_title":10,"is_featured":11,"company":223,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":226,"processed_country_iso_code_gmaps":228,"processed_home_office":183,"processed_salary_min":115,"processed_salary_max":137,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":229,"processed_employment_types":26,"processed_it_skills":230,"processed_it_skills_labels":231,"processed_job_expertise_skills":235,"processed_job_expertise_skills_labels":236,"max_cpc":51,"actual_cpc":52},71623,"quantitative-modeler-data-scientist-columbia-bank","Quantitative Modeler & Data Scientist",{"name":224,"slug":225,"logo_url":10},"Columbia Bank","columbia-bank",[227],"Lake Oswego",[18],[25],{"r":29,"aws":28,"sql":29,"azure":28,"matlab":28,"python":29,"pyspark":28,"excel vba":28,"snowflake":28,"databricks":28},[67,68,232,233,234,35,78,38,70,69],"R","Matlab","Excel VBA",{"data mining":29,"programming":29,"ai governance":28,"machine learning":29,"model governance":29,"model monitoring":29,"model validation":29,"project management":28,"statistical modeling":29,"model risk management":29,"quantitative analysis":29,"econometric forecasting":29,"financial risk management":29,"data extraction and processing":29,"regulatory compliance (sr 26-2, basel ii\u002Fiii, dfast)":29},[237,238,239,240,241,242,243,97,244,82,245,246,247,248,249],"Statistical Modeling","Econometric Forecasting","Machine Learning","Data Extraction and Processing","Model Risk Management","Regulatory Compliance (SR 26-2, Basel II\u002FIII, DFAST)","Model Validation","Model Monitoring","Financial Risk Management","Quantitative Analysis","Data Mining","Programming","Project Management",{"id":251,"slug":252,"title":253,"raw_title":10,"is_featured":11,"company":254,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":257,"processed_country_iso_code_gmaps":259,"processed_home_office":19,"processed_salary_min":260,"processed_salary_max":261,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":262,"processed_employment_types":26,"processed_it_skills":263,"processed_it_skills_labels":264,"processed_job_expertise_skills":274,"processed_job_expertise_skills_labels":275,"max_cpc":51,"actual_cpc":52},88462,"senior-data-engineer-databricks-snowflake-etl-travelers-indemnity-co","Senior Data Engineer (Databricks, Snowflake, ETL)",{"name":255,"slug":256,"logo_url":10},"Travelers Indemnity Co","travelers-indemnity-co",[258],"Hartford",[18],139400,230000,[25],{"aws":29,"dbt":29,"sql":29,"azure":29,"python":29,"ai tools":28,"snowflake":29,"databricks":29,"data pipelines":29,"cloud platforms":29,"data warehousing":29,"automated testing":28,"quality assurance":28,"system health monitoring":28,"etl tools (abinitio or informatica)":29},[78,38,265,266,69,70,67,35,267,268,269,270,271,272,273],"DBT","ETL Tools (AbInitio or Informatica)","Data Pipelines","Data Warehousing","Cloud Platforms","Automated Testing","Quality Assurance","System Health Monitoring","AI Tools",{"data quality":28,"data analysis":29,"data security":28,"data governance":28,"design strategy":29,"system analysis":29,"data engineering":29,"domain expertise":28,"technical leadership":29,"supervisory experience":28},[276,127,277,278,42,279,280,281,282,283],"Data Engineering","Data Security","Data Quality","System Analysis","Design Strategy","Technical Leadership","Supervisory Experience","Domain Expertise",{"id":285,"slug":286,"title":287,"raw_title":10,"is_featured":11,"company":288,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":289,"processed_country_iso_code_gmaps":290,"processed_home_office":19,"processed_salary_min":291,"processed_salary_max":292,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":293,"processed_employment_types":26,"processed_it_skills":294,"processed_it_skills_labels":295,"processed_job_expertise_skills":303,"processed_job_expertise_skills_labels":304,"max_cpc":51,"actual_cpc":52},88428,"data-engineer-ii-genai-travelers-indemnity-co","Data Engineer II, GenAI",{"name":255,"slug":256,"logo_url":10},[258],[18],126500,208700,[25],{"aws":29,"dbt":29,"sql":29,"python":29,"snowflake":29,"databricks":29,"data quality":28,"data security":28,"data pipelines":29,"cloud platforms":29,"data governance":28,"vector databases":29,"data transformation":29,"embedding strategies":29,"large language model apis":29,"model context protocol (mcp)":29,"agent orchestration frameworks":29,"retrieval-augmented generation (rag)":29},[69,78,38,296,67,35,297,85,298,299,300,301,269,267,302,127,277,278],"dbt","Large Language Model APIs","Vector Databases","Embedding Strategies","Model Context Protocol (MCP)","Agent Orchestration Frameworks","Data Transformation",{"data analysis":29,"data modeling":29,"data management":29,"system analysis":29,"data engineering":29,"domain expertise":28,"data pipeline design":29,"cloud-native architecture":29,"multi-agent ai applications":29,"software engineering practices":29},[276,305,306,307,42,308,309,283,279,126],"Data Pipeline Design","Cloud-Native Architecture","Multi-Agent AI Applications","Data Management","Software Engineering Practices",{"id":311,"slug":312,"title":313,"raw_title":10,"is_featured":11,"company":314,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":317,"processed_country_iso_code_gmaps":319,"processed_home_office":19,"processed_salary_min":115,"processed_salary_max":137,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":320,"processed_employment_types":26,"processed_it_skills":321,"processed_it_skills_labels":322,"processed_job_expertise_skills":329,"processed_job_expertise_skills_labels":330,"max_cpc":51,"actual_cpc":52},73785,"manager-business-initiatives-and-data-management-invesco-trust-company","Manager, Business Initiatives and Data Management",{"name":315,"slug":316,"logo_url":10},"Invesco Trust Company","invesco-trust-company",[318],"Atlanta",[18],[25],{"dax":29,"power bi":29,"snowflake":28,"confluence":28,"power query":29,"llm workflows":28,"microsoft copilot":123,"ai prompt engineering":28},[31,323,324,38,325,326,327,328],"Power Query","DAX","Microsoft Copilot","Confluence","AI Prompt Engineering","LLM Workflows",{"data management":29,"workflow analysis":29,"metric development":29,"project management":29,"strategic planning":29,"presentation skills":29,"regulatory knowledge":28,"business intelligence":29,"investment operations":28,"process documentation":29,"client experience enhancement":28,"institutional funds knowledge":28},[308,125,249,331,332,333,334,335,336,337,49,338],"Investment Operations","Institutional Funds Knowledge","Regulatory Knowledge","Client Experience Enhancement","Workflow Analysis","Process Documentation","Metric Development","Presentation Skills",{"id":340,"slug":341,"title":342,"raw_title":10,"is_featured":11,"company":343,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":346,"processed_country_iso_code_gmaps":347,"processed_home_office":19,"processed_salary_min":115,"processed_salary_max":116,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":348,"processed_employment_types":26,"processed_it_skills":349,"processed_it_skills_labels":350,"processed_job_expertise_skills":352,"processed_job_expertise_skills_labels":353,"max_cpc":51,"actual_cpc":52},73789,"senior-data-analyst-invesco-advisors-inc","Senior Data Analyst",{"name":344,"slug":345,"logo_url":10},"Invesco Advisors Inc.","invesco-advisors-inc",[318],[18],[25],{"r":28,"dax":29,"sql":29,"python":28,"ai tools":28,"power bi":29,"snowflake":29,"power query (m)":29},[35,31,67,232,38,324,351,273],"Power Query (M)",{"syndicate":28,"governance":28,"data modeling":29,"data analytics":29,"capital markets":28,"data architecture":28,"data visualization":29,"financial services":28,"securities lending":28,"process improvement":28,"business intelligence":29,"counterparty relations":28,"automated reporting pipelines":29},[354,125,355,356,357,358,359,360,126,48,361,91,43],"Data Analytics","Capital Markets","Securities Lending","Counterparty Relations","Syndicate","Governance","Financial Services","Automated Reporting Pipelines",{"id":363,"slug":364,"title":365,"raw_title":10,"is_featured":11,"company":366,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":369,"processed_country_iso_code_gmaps":371,"processed_home_office":183,"processed_salary_min":372,"processed_salary_max":115,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":373,"processed_employment_types":26,"processed_it_skills":374,"processed_it_skills_labels":375,"processed_job_expertise_skills":378,"processed_job_expertise_skills_labels":379,"max_cpc":51,"actual_cpc":52},69053,"pricing-analyst-arch-us-mi-services-inc","Pricing Analyst",{"name":367,"slug":368,"logo_url":10},"Arch U.S. MI Services Inc.","arch-us-mi-services-inc",[370],"Greensboro",[18],70000,[25],{"sas":28,"sql":28,"excel":29,"python":28,"power bi":28,"ms office":29,"snowflake":28},[376,36,67,35,38,31,377],"Excel","MS Office",{"training":28,"reinsurance":123,"data analysis":29,"documentation":28,"pricing strategy":28,"quantitative methods":28,"modern portfolio theory":28,"mortgage lending pricing":123,"financial risk management":28,"product pricing methodologies":28,"discounted cash flow methodology":28},[380,381,382,383,384,245,385,386,42,387,388],"Quantitative Methods","Product Pricing Methodologies","Discounted Cash Flow Methodology","Modern Portfolio Theory","Mortgage Lending Pricing","Reinsurance","Pricing Strategy","Documentation","Training",{"id":390,"slug":391,"title":392,"raw_title":10,"is_featured":11,"company":393,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":396,"processed_country_iso_code_gmaps":398,"processed_home_office":19,"processed_salary_min":399,"processed_salary_max":400,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":401,"processed_employment_types":26,"processed_it_skills":402,"processed_it_skills_labels":403,"processed_job_expertise_skills":410,"processed_job_expertise_skills_labels":411,"max_cpc":51,"actual_cpc":52},74765,"senior-data-systems-analyst-merastar-insurance-company-2","Senior Data Systems Analyst",{"name":394,"slug":395,"logo_url":10},"Merastar Insurance Company","merastar-insurance-company",[397],"Alpharetta",[18],89000,148100,[25],{"api":28,"aws":28,"sql":29,"xml":28,"iics":28,"json":28,"azure":28,"oracle":28,"python":28,"power bi":28,"snowflake":28,"sql server":28,"informatica":28},[35,38,37,404,405,406,31,407,408,409,67,70,69],"SQL Server","Informatica","IICS","XML","JSON","API",{"ci\u002Fcd":28,"devops":28,"dataops":28,"test design":29,"data lineage":29,"data testing":29,"audit support":29,"data modeling":29,"test planning":29,"data profiling":29,"test execution":29,"data governance":29,"test automation":28,"data stewardship":29,"data warehousing":29,"quality assurance":29,"etl\u002Felt validation":29,"regression testing":29,"release validation":29,"agile methodologies":28,"ai-assisted testing":28,"data reconciliation":29,"metadata management":29,"root cause analysis":29,"data quality analysis":29,"data quality controls":29,"regulatory compliance":29,"requirements analysis":29,"master data management":28,"data pipeline validation":29,"business systems analysis":29,"requirements traceability":29,"business process validation":29,"insurance industry knowledge":28,"relational database concepts":29,"production incident management":29},[412,268,413,127,271,414,415,45,416,417,418,419,420,421,422,423,424,425,426,427,428,429,430,431,432,433,126,434,435,436,437,438,439,440,441,442],"Data Quality Analysis","Business Systems Analysis","Data Testing","Business Process Validation","Data Reconciliation","Data Profiling","Root Cause Analysis","Test Planning","Test Design","Test Execution","Regression Testing","Release Validation","Requirements Analysis","Requirements Traceability","Data Stewardship","Regulatory Compliance","Audit Support","Production Incident Management","Data Lineage","Metadata Management","Data Quality Controls","Relational Database Concepts","ETL\u002FELT Validation","Data Pipeline Validation","Test Automation","CI\u002FCD","DataOps","DevOps","Agile Methodologies","AI-assisted Testing","Master Data Management",{"id":444,"slug":445,"title":446,"raw_title":10,"is_featured":11,"company":447,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":450,"processed_country_iso_code_gmaps":451,"processed_home_office":19,"processed_salary_min":452,"processed_salary_max":453,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":454,"processed_employment_types":26,"processed_it_skills":455,"processed_it_skills_labels":456,"processed_job_expertise_skills":462,"processed_job_expertise_skills_labels":463,"max_cpc":51,"actual_cpc":52},69055,"sr-data-analyst-arch-capital-services-llc","Sr. Data Analyst",{"name":448,"slug":449,"logo_url":10},"Arch Capital Services LLC","arch-capital-services-llc",[370],[18],90000,130000,[25],{"sql":29,"azure":28,"python":29,"snowflake":28,"databricks":28,"data modeling":28,"data pipelines":29,"version control":28,"data integration":28,"data warehousing":28,"automation technologies":28,"data visualization tools":28,"business intelligence tools":28,"ai-assisted development tools":123},[35,67,78,38,70,267,268,126,457,458,459,460,157,461],"Data Integration","Business Intelligence Tools","Data Visualization Tools","AI-assisted Development Tools","Automation Technologies",{"testing":28,"data analysis":29,"documentation":28,"data reporting":29,"trend evaluation":28,"change management":28,"data reconciliation":28,"root cause analysis":28,"cloud-based analytics":28,"dashboard development":29,"requirements gathering":29,"stakeholder management":29},[42,464,47,465,466,416,467,468,160,387,469,418],"Data Reporting","Stakeholder Management","Requirements Gathering","Trend Evaluation","Cloud-based Analytics","Change Management",{"id":471,"slug":472,"title":473,"raw_title":10,"is_featured":11,"company":474,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":475,"processed_country_iso_code_gmaps":476,"processed_home_office":19,"processed_salary_min":477,"processed_salary_max":478,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":479,"processed_employment_types":26,"processed_it_skills":480,"processed_it_skills_labels":481,"processed_job_expertise_skills":501,"processed_job_expertise_skills_labels":502,"max_cpc":51,"actual_cpc":52},83771,"distinguished-engineer-ai-applications-government-employees-insurance-company","Distinguished Engineer, AI Applications",{"name":13,"slug":14,"logo_url":10},[135],[18],210000,350000,[25],{"aws":29,"rag":29,"ray":29,"sql":28,"llms":29,"azure":29,"ci\u002Fcd":29,"kafka":29,"spark":29,"milvus":29,"python":29,"qdrant":29,"airflow":29,"prefect":29,"pinecone":29,"temporal":29,"weaviate":29,"langchain":29,"langsmith":29,"snowflake":29,"kubernetes":29,"llamaindex":29,"arize phoenix":29,"elasticsearch":29,"generative ai":29,"opentelemetry":29,"feature stores":29,"nosql databases":29,"vector databases":29,"weights & biases":29,"agentic frameworks":29,"embedding pipelines":29,"multi-agent systems":29,"relational databases":29},[67,35,145,146,482,73,483,38,484,147,189,152,485,154,486,487,488,489,490,491,492,437,159,69,70,493,83,494,495,496,497,498,499,500],"Milvus","Weaviate","NoSQL databases","Airflow","Prefect","LangChain","LlamaIndex","LangSmith","Arize Phoenix","Weights & Biases","OpenTelemetry","LLMs","RAG","Agentic frameworks","Multi-agent systems","Vector databases","Embedding pipelines","Feature stores","Relational databases",{"roadmapping":29,"system design":29,"technical strategy":29,"production operations":29,"technology evaluation":29,"build vs. buy analysis":29,"enterprise architecture":29,"business impact assessment":29,"ai\u002Fml platform architecture":29,"software development lifecycle":29,"generative ai application development":29},[81,167,503,504,168,505,506,507,508,509,510],"Generative AI Application Development","Technical Strategy","Technology Evaluation","Software Development Lifecycle","Production Operations","Build vs. Buy Analysis","Roadmapping","Business Impact Assessment",{"id":512,"slug":513,"title":473,"raw_title":10,"is_featured":11,"company":514,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":515,"processed_country_iso_code_gmaps":516,"processed_home_office":19,"processed_salary_min":477,"processed_salary_max":478,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":517,"processed_employment_types":26,"processed_it_skills":518,"processed_it_skills_labels":519,"processed_job_expertise_skills":525,"processed_job_expertise_skills_labels":526,"max_cpc":51,"actual_cpc":52},83772,"distinguished-engineer-ai-applications-government-employees-insurance-company-2",{"name":13,"slug":14,"logo_url":10},[135],[18],[25],{"aws":29,"dbt":29,"java":29,"azure":29,"neo4j":29,"spark":29,"python":29,"airflow":29,"mongodb":29,"azure ml":29,"sagemaker":29,"snowflake":29,"aws bedrock":29,"elasticsearch":29},[67,142,265,485,189,149,520,38,521,69,70,522,523,524],"ElasticSearch","Neo4j","SageMaker","Azure ML","AWS Bedrock",{"fairness":29,"security":29,"explainability":29,"data governance":29,"machine learning":29,"model monitoring":29,"scalable systems":29,"model maintenance":29,"strategic planning":29,"architecture design":29,"real-time ml serving":29,"regulatory compliance":29,"model interpretability":29,"large-scale data pipelines":29,"cross-functional leadership":29},[239,127,527,427,528,529,530,244,531,532,533,49,534,535,536],"Security","Model Interpretability","Fairness","Explainability","Model Maintenance","Scalable Systems","Cross-functional Leadership","Architecture Design","Real-time ML Serving","Large-scale Data Pipelines",{"id":538,"slug":539,"title":540,"raw_title":10,"is_featured":11,"company":541,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":542,"processed_country_iso_code_gmaps":544,"processed_home_office":19,"processed_salary_min":453,"processed_salary_max":545,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":546,"processed_employment_types":26,"processed_it_skills":547,"processed_it_skills_labels":548,"processed_job_expertise_skills":565,"processed_job_expertise_skills_labels":566,"max_cpc":51,"actual_cpc":52},83757,"senior-manager-marketing-solutions-engineering-government-employees-insurance-company","Senior Manager, Marketing Solutions Engineering",{"name":13,"slug":14,"logo_url":10},[543],"New York",[18],260000,[25],{"cdps":29,"braze":28,"segment":28,"tealium":28,"hightouch":28,"snowflake":28,"tag management":29,"data warehousing":29,"ai\u002Fml integration":28,"content platforms":28,"governance frameworks":29,"vendor api management":29,"data exchange patterns":29,"clean room technologies":123,"marketing automation\u002Fesp":29,"adobe experience platform":28,"salesforce marketing cloud":28,"data collaboration platforms":123},[549,550,551,38,552,553,554,555,556,268,557,558,559,560,561,562,563,564],"Adobe Experience Platform","Salesforce Marketing Cloud","Braze","Segment","Tealium","Hightouch","CDPs","Tag Management","Marketing Automation\u002FESP","Content Platforms","AI\u002FML Integration","Vendor API Management","Data Exchange Patterns","Governance Frameworks","Clean Room Technologies","Data Collaboration Platforms",{"ai enablement":28,"data governance":29,"digital analytics":29,"vendor management":29,"privacy regulations":28,"roadmap development":29,"solutions engineering":29,"solutions architecture":29,"platform transformation":28,"architectural consolidation":28,"marketing platform integration":29},[567,568,569,570,127,571,96,572,573,574,575],"Solutions Engineering","Solutions Architecture","Digital Analytics","Marketing Platform Integration","Privacy Regulations","Roadmap Development","AI Enablement","Platform Transformation","Architectural Consolidation",{"id":577,"slug":578,"title":579,"raw_title":10,"is_featured":11,"company":580,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":581,"processed_country_iso_code_gmaps":582,"processed_home_office":183,"processed_salary_min":583,"processed_salary_max":584,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":585,"processed_employment_types":586,"processed_it_skills":587,"processed_it_skills_labels":588,"processed_job_expertise_skills":592,"processed_job_expertise_skills_labels":593,"max_cpc":51,"actual_cpc":52},88417,"business-insights-analytics-leadership-development-program-bia-ldp-intern-travelers-indemnity-co","Business Insights & Analytics Leadership Development Program (BI&A LDP) Intern",{"name":255,"slug":256,"logo_url":10},[258],[18],28,30,[25],"student",{"etl":123,"sql":123,"python":123,"ai tools":123,"snowflake":123,"data lakes":123,"databricks":123,"data warehouse":123,"dashboarding tools":123},[67,35,38,78,589,121,590,591,273],"Dashboarding Tools","Data Warehouse","Data Lakes",{"data analytics":123,"agile methodologies":123,"multidimensional data":123,"cloud-enabled analytical programming":123},[354,440,594,595],"Multidimensional Data","Cloud-Enabled Analytical Programming",{"id":597,"slug":598,"title":599,"raw_title":10,"is_featured":11,"company":600,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":601,"processed_country_iso_code_gmaps":602,"processed_home_office":183,"processed_salary_min":583,"processed_salary_max":584,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":603,"processed_employment_types":586,"processed_it_skills":604,"processed_it_skills_labels":605,"processed_job_expertise_skills":609,"processed_job_expertise_skills_labels":610,"max_cpc":51,"actual_cpc":52},88419,"business-insights-analytics-leadership-development-program-bia-ldp-geospatial-intern-travelers-indemnity-co","Business Insights & Analytics Leadership Development Program (BI&A LDP) Geospatial Intern",{"name":255,"slug":256,"logo_url":10},[258],[18],[25],{"sql":28,"python":28,"ai tools":123,"snowflake":123,"databricks":123,"esri arcgis pro":28,"gis mapping software":28},[67,35,38,78,606,607,608],"ESRI ArcGIS Pro","GIS mapping software","AI tools",{"etl":123,"data lakes":123,"map projects":28,"data warehouse":123,"coordinate systems":28,"spatial statistics":28,"geographic information systems (gis)":28},[611,612,590,121,591,613,614],"Geographic Information Systems (GIS)","Spatial Statistics","Map Projects","Coordinate Systems",{"id":616,"slug":617,"title":618,"raw_title":10,"is_featured":11,"company":619,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":622,"processed_country_iso_code_gmaps":624,"processed_home_office":183,"processed_salary_min":625,"processed_salary_max":626,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":627,"processed_employment_types":26,"processed_it_skills":628,"processed_it_skills_labels":629,"processed_job_expertise_skills":643,"processed_job_expertise_skills_labels":644,"max_cpc":51,"actual_cpc":52},66326,"data-engineering-amp-platform-enablement-practice-lead-us-td-bank-na","Data Engineering & Platform Enablement Practice Lead (US)",{"name":620,"slug":621,"logo_url":10},"TD Bank, N.A.","td-bank-na",[623],"Mount Laurel",[18],123680,200200,[25],{"ai":28,"api":29,"aws":29,"sql":29,"azure":29,"kafka":28,"python":29,"dataops":29,"etl\u002Felt":29,"data lake":29,"snowflake":28,"automation":29,"databricks":29,"data fabric":29,"data quality":29,"google cloud":29,"data modeling":29,"data security":29,"observability":29,"data streaming":29,"data governance":29,"data integration":29,"data warehousing":29,"machine learning":28,"event-driven architecture":29},[78,70,69,188,147,38,630,409,631,632,438,633,50,35,67,634,202,635,636,637,638,639,640,641,642],"ETL\u002FELT","Event-driven architecture","Data streaming","Observability","Data modeling","Data security","Data quality","Data integration","Data warehousing","Data lake","Data fabric","Machine learning","AI",{"itil":28,"budgeting":28,"compliance":29,"data security":29,"data strategy":29,"data governance":29,"data management":29,"data operations":29,"risk management":29,"data engineering":29,"data architecture":29,"project management":29,"talent development":29,"resource allocation":29,"platform engineering":29,"performance management":29,"data product development":29},[276,645,91,308,127,646,647,648,277,90,89,249,205,649,650,651,652],"Platform Engineering","Data Strategy","Data Product Development","Data Operations","Resource Allocation","Performance Management","Talent Development","ITIL",{"id":654,"slug":655,"title":656,"raw_title":10,"is_featured":11,"company":657,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":658,"processed_country_iso_code_gmaps":659,"processed_home_office":19,"processed_salary_min":21,"processed_salary_max":62,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":660,"processed_employment_types":26,"processed_it_skills":661,"processed_it_skills_labels":662,"processed_job_expertise_skills":677,"processed_job_expertise_skills_labels":678,"max_cpc":51,"actual_cpc":52},77994,"data-engineer-sedgwick-claims-management-services-inc","Data Engineer",{"name":58,"slug":59,"logo_url":10},[],[18],[25],{"aws":29,"db2":28,"iam":28,"sql":29,"azure":29,"aws s3":29,"docker":29,"python":29,"airflow":29,"etl\u002Felt":29,"pyspark":29,"aws glue":29,"snowpipe":29,"mainframe":28,"snowflake":29,"aws lambda":29,"sql server":29,"privatelink":28,"azure synapse":29,"data modeling":29,"vector databases":29,"firewall controls":28,"aws step functions":29,"azure data factory":29,"network segmentation":28},[38,69,70,67,35,68,663,485,664,665,630,126,298,666,667,668,669,670,671,672,404,673,674,675,676],"Docker","AWS Step Functions","Azure Data Factory","Snowpipe","AWS S3","AWS Glue","AWS Lambda","Azure Synapse","Mainframe","DB2","IAM","PrivateLink","Network Segmentation","Firewall Controls",{"rag systems":29,"data quality":29,"generative ai":29,"orchestration":29,"vectorization":29,"data pipelines":29,"data governance":29,"containerization":29,"data engineering":29,"machine learning":29,"cost optimization":29,"cloud architecture":29,"data observability":29,"embedding pipelines":29,"feature engineering":29,"legacy system integration":29},[276,239,83,679,267,127,278,680,681,99,682,683,684,685,686,687],"Feature Engineering","Data Observability","Cost Optimization","Legacy System Integration","Orchestration","Containerization","Vectorization","Embedding Pipelines","RAG Systems",{"image_path":689,"content_de":690,"content_en":703,"composite_key":716,"last_updated":717},"\u002Fimages\u002Fskill\u002Fsnowflake.webp",{"tab1":691,"tab2":694,"tab3":697,"tab4":700},{"title":692,"content":693},"Bedeutung & Relevanz","Snowflake ist eine hochmoderne Cloud-Datenplattform, die in den [Vereinigten Staaten](\u002Fsearch) eine entscheidende Rolle in der Finanzbranche spielt. Sie ermöglicht die nahtlose Speicherung, Verwaltung und Analyse großer Datenmengen, was für [Asset Management](\u002Fjobs-by-industry\u002Fasset-management) und [Global Asset Management](\u002Fjobs-by-industry\u002Fglobal-asset-management) unerlässlich ist. Durch ihre skalierbare Architektur unterstützt Snowflake [Data Integration](\u002Fjobs-by-expertise\u002Fdata-integration) und [Data Pipelines](\u002Fjobs-by-expertise\u002Fdata-pipelines), was die Effizienz in [Financial Markets](\u002Fjobs-by-expertise\u002Ffinancial-markets-knowledge) steigert. Unternehmen nutzen sie für [AI Enablement](\u002Fjobs-by-expertise\u002Fai-enablement) und [Digital Transformation](\u002Fjobs-by-expertise\u002Fdigital-transformation), um wettbewerbsfähig zu bleiben. In den USA, wo Datengetriebene Entscheidungen im Finanzsektor priorisiert werden, ist Snowflake ein Schlüsselinstrument für Innovation und operative Exzellenz.",{"title":695,"content":696},"Top-Branchen & Standorte","In den [Vereinigten Staaten](\u002Fsearch) ist Snowflake besonders in [Asset Management](\u002Fjobs-by-industry\u002Fasset-management) und [Global Asset Management](\u002Fjobs-by-industry\u002Fglobal-asset-management) gefragt, da diese Branchen auf robuste Datenanalysen angewiesen sind. Top-Standorte wie [Newport Beach](\u002Fjobs-in-newport-beach) in Kalifornien sind Hotspots für solche Anwendungen, dank ihrer Konzentration an Finanzunternehmen. Weitere relevante Industrien umfassen [Banking](\u002Fjobs-by-industry\u002Fbanking) und [Financial Services](\u002Fjobs-by-industry\u002Ffinancial-services), wo Snowflake für [Data Governance](\u002Fjobs-by-expertise\u002Fdata-governance) und [Analytics Platforms](\u002Fjobs-by-expertise\u002Fanalytics-platforms) eingesetzt wird. Diese Standorte und Branchen profitieren von der Cloud-basierten Flexibilität von Snowflake, die eine effiziente Datenverwaltung in dynamischen Märkten ermöglicht.",{"title":698,"content":699},"Gefragte Skills & Arbeitgeber","Unternehmen wie [Pacific Investment Mgt Co. LLC](\u002Fcompany\u002Fpacific-investment-mgt-co-llc) und [PGA Global Services LLC, UK Branch](\u002Fcompany\u002Fpga-global-services-llc-uk-branch) in den [Vereinigten Staaten](\u002Fsearch) suchen nach Experten mit Snowflake-Kenntnissen, kombiniert mit [Optimization Techniques](\u002Fjobs-by-expertise\u002Foptimization-techniques), [Statistical Techniques](\u002Fjobs-by-expertise\u002Fstatistical-techniques), und [Financial Markets Knowledge](\u002Fjobs-by-expertise\u002Ffinancial-markets-knowledge). Weitere gefragte Expertise umfasst [Data Integration](\u002Fjobs-by-expertise\u002Fdata-integration), [Software Architecture](\u002Fjobs-by-expertise\u002Fsoftware-architecture), und [Cloud Migration](\u002Fjobs-by-expertise\u002Fcloud-migration). Diese Arbeitgeber setzen auf Snowflake für [Algorithmic Engines Development](\u002Fjobs-by-expertise\u002Falgorithmic-engines-development) und [Trading Systems](\u002Fjobs-by-expertise\u002Ftrading-systems), um ihre Investitionsstrategien zu optimieren und Risiken in [Fixed Income](\u002Fjobs-by-expertise\u002Ffixed-income) und [Debt Markets](\u002Fjobs-by-expertise\u002Fdebt-markets) zu managen.",{"title":701,"content":702},"Karriere & Entwicklung","Eine Karriere mit Snowflake in den [Vereinigten Staaten](\u002Fsearch) beginnt oft mit einem Hintergrund in [Mathematics](\u002Fjobs-by-expertise\u002Fmathematics) oder [Finance](\u002Fjobs-by-expertise\u002Ffinance) und erfordert das Beherrschen von [Python](\u002Fjobs-by-skill\u002Fpython), [AWS](\u002Fjobs-by-skill\u002Faws), und [SQL](\u002Fjobs-by-skill\u002Fsql). Entwicken Sie Fähigkeiten in [Data Modeling](\u002Fjobs-by-skill\u002Fdata-modeling), [ETL\u002FELT Processes](\u002Fjobs-by-skill\u002Fetl-elt-processes), und [Machine Learning Operations (MLOps)](\u002Fjobs-by-skill\u002Fmachine-learning-operations-mlops) durch Online-Kurse oder Zertifizierungen. Karrierepfade führen zu Rollen in [Data Governance](\u002Fjobs-by-expertise\u002Fdata-governance) oder [Project\u002FProgram Management](\u002Fjobs-by-expertise\u002Fproject-program-management), wobei praktische Erfahrung mit [Relational Databases](\u002Fjobs-by-skill\u002Frelational-databases) und [RESTful APIs](\u002Fjobs-by-skill\u002Frestful-apis) entscheidend ist. Bleiben Sie auf dem Laufenden mit Trends in [AI-Focused Data Catalog Tools](\u002Fjobs-by-skill\u002Fai-focused-data-catalog-tools) für langfristigen Erfolg.",{"tab1":704,"tab2":707,"tab3":710,"tab4":713},{"title":705,"content":706},"Strategic Importance","Snowflake is a critical cloud data platform that enables organizations to consolidate data into a single source of truth, facilitating advanced analytics and AI-driven insights. In the [Vereinigten Staaten](\u002Fsearch), its importance is magnified by the growing reliance on data for decision-making in sectors like [Asset Management](\u002Fjobs-by-industry\u002Fasset-management) and [Global Asset Management](\u002Fjobs-by-industry\u002Fglobal-asset-management). Companies leverage Snowflake for scalable data storage, seamless integration, and real-time analytics, which are essential for optimizing investment strategies and managing financial risks. Its ability to handle vast datasets supports [data integration](\u002Fjobs-by-expertise\u002Fdata-integration) and [data pipelines](\u002Fjobs-by-expertise\u002Fdata-pipelines), making it indispensable for firms in [Newport Beach](\u002Fjobs-in-newport-beach) and beyond, driving efficiency and innovation in the competitive U.S. market.",{"title":708,"content":709},"Top Industries & Locations","In the [Vereinigten Staaten](\u002Fsearch), Snowflake is highly sought after in industries such as [Asset Management](\u002Fjobs-by-industry\u002Fasset-management) and [Global Asset Management](\u002Fjobs-by-industry\u002Fglobal-asset-management), where data-driven insights are crucial for portfolio optimization and risk management. Key locations include [Newport Beach](\u002Fjobs-in-newport-beach), a hub for financial services and technology firms. Additionally, cities with strong tech and finance sectors, like those in California and New York, show high demand. Snowflake's capabilities in handling large-scale data make it vital for companies involved in [Financial Services](\u002Fjobs-by-industry\u002Ffinancial-services) and [Investment Management](\u002Fjobs-by-industry\u002Finvestment-management), enabling them to leverage [big data and analytics platforms](\u002Fjobs-by-skill\u002Fbig-data-and-analytics-platforms) for competitive advantage.",{"title":711,"content":712},"In-Demand Skills & Employers","Top companies requiring Snowflake expertise in the [Vereinigten Staaten](\u002Fsearch) include Pacific Investment Mgt Co. LLC and PGA Global Services LLC, UK Branch, which utilize it for advanced data management and analytics. Related expertise in high demand encompasses [optimization techniques](\u002Fjobs-by-expertise\u002Foptimization-techniques), [statistical techniques](\u002Fjobs-by-expertise\u002Fstatistical-techniques), [data integration](\u002Fjobs-by-expertise\u002Fdata-integration), and [financial markets knowledge](\u002Fjobs-by-expertise\u002Ffinancial-markets-knowledge). Skills such as [Python](\u002Fjobs-by-skill\u002Fpython), [AWS](\u002Fjobs-by-skill\u002Faws), and [data modeling](\u002Fjobs-by-skill\u002Fdata-modeling) are often paired with Snowflake to enhance [algorithmic engines development](\u002Fjobs-by-expertise\u002Falgorithmic-engines-development) and support [cloud migration](\u002Fjobs-by-expertise\u002Fcloud-migration) initiatives, making professionals with these combinations highly valuable in the U.S. job market.",{"title":714,"content":715},"Career & Development","Career paths for Snowflake professionals in the [Vereinigten Staaten](\u002Fsearch) often start roles like Data Engineer or Analytics Specialist, progressing to senior positions such as Data Architect or Cloud Solutions Lead. To learn Snowflake, focus on mastering related IT skills like [Python](\u002Fjobs-by-skill\u002Fpython), [AWS](\u002Fjobs-by-skill\u002Faws), and [SQL](\u002Fjobs-by-skill\u002Fsql), and gain expertise in [data integration](\u002Fjobs-by-expertise\u002Fdata-integration) and [data pipelines](\u002Fjobs-by-expertise\u002Fdata-pipelines). Pursuing certifications from Snowflake or cloud providers can boost credentials. Engaging in projects involving [big data and analytics platforms](\u002Fjobs-by-skill\u002Fbig-data-and-analytics-platforms) and [machine learning operations (mlops)](\u002Fjobs-by-skill\u002Fmachine-learning-operations-mlops) will enhance practical experience, aligning with the high demand in U.S. industries like [Asset Management](\u002Fjobs-by-industry\u002Fasset-management).","skill:snowflake:us","2026-08-17T09:02:57.457245+02:00",{"industry":719,"employment_type":747,"expertise_skills":754,"it_skills":815,"salary_currency":881,"processed_working_hours":886},[720,724,727,731,734,736,739,742,744],{"key":721,"label":722,"count":723},"insurance","Insurance",39,{"key":725,"label":360,"count":726},"financial services",24,{"key":728,"label":729,"count":730},"asset management","Asset Management",8,{"key":732,"label":733,"count":730},"banking","Banking",{"key":735,"label":89,"count":29},"risk management",{"key":737,"label":738,"count":29},"financial markets infrastructure","Financial Markets Infrastructure",{"key":740,"label":741,"count":28},"data","Data",{"key":743,"label":385,"count":51},"reinsurance",{"key":745,"label":746,"count":51},"data provider","Data Provider",[748,751],{"key":26,"label":749,"count":750},"PERMANENT",72,{"key":586,"label":752,"count":753},"STUDENT",5,[755,757,760,763,765,767,770,772,775,778,780,784,786,789,791,793,796,799,801,803,806,808,810,812],{"key":756,"label":127,"slug":756,"count":583},"data-governance",{"key":758,"label":276,"slug":758,"count":759},"data-engineering",21,{"key":761,"label":278,"slug":761,"count":762},"data-quality",14,{"key":764,"label":89,"slug":764,"count":762},"risk-management",{"key":766,"label":42,"slug":766,"count":762},"data-analysis",{"key":768,"label":268,"slug":768,"count":769},"data-warehousing",13,{"key":771,"label":126,"slug":771,"count":769},"data-modeling",{"key":773,"label":91,"slug":773,"count":774},"data-architecture",12,{"key":776,"label":239,"slug":776,"count":777},"machine-learning",11,{"key":779,"label":427,"slug":779,"count":777},"regulatory-compliance",{"key":781,"label":782,"slug":781,"count":783},"project-management","Project management",10,{"key":785,"label":96,"slug":785,"count":783},"vendor-management",{"key":787,"label":90,"slug":787,"count":788},"compliance",9,{"key":790,"label":99,"slug":790,"count":730},"cloud-architecture",{"key":792,"label":81,"slug":792,"count":730},"enterprise-architecture",{"key":794,"label":457,"slug":794,"count":795},"data-integration",7,{"key":797,"label":440,"slug":797,"count":798},"agile-methodologies",6,{"key":800,"label":277,"slug":800,"count":798},"data-security",{"key":802,"label":125,"slug":802,"count":798},"business-intelligence",{"key":804,"label":805,"slug":804,"count":798},"ai-governance","Ai Governance",{"key":807,"label":43,"slug":807,"count":798},"process-improvement",{"key":809,"label":50,"slug":809,"count":798},"automation",{"key":811,"label":41,"slug":811,"count":798},"business-analysis",{"key":813,"label":814,"slug":813,"count":798},"sdlc","Sdlc",[816,818,821,824,828,832,835,839,842,845,848,850,853,855,857,860,863,865,868,870,873,875,877,880],{"key":817,"label":38,"slug":817,"count":4},"snowflake",{"key":819,"label":67,"slug":819,"count":820},"python",55,{"key":822,"label":35,"slug":822,"count":823},"sql",53,{"key":825,"label":826,"slug":825,"count":827},"aws","Aws",40,{"key":829,"label":830,"slug":829,"count":831},"ms-azure","MS Azure",33,{"key":833,"label":78,"slug":833,"count":834},"databricks",25,{"key":836,"label":837,"slug":836,"count":838},"ms-powerbi","MS PowerBI",20,{"key":840,"label":147,"slug":840,"count":841},"kafka",17,{"key":843,"label":120,"slug":843,"count":844},"tableau",15,{"key":846,"label":847,"slug":846,"count":762},"cicd","Ci\u002FCd",{"key":849,"label":485,"slug":849,"count":762},"airflow",{"key":851,"label":852,"slug":851,"count":777},"etl","Etl",{"key":854,"label":142,"slug":854,"count":777},"java",{"key":856,"label":189,"slug":856,"count":777},"spark",{"key":858,"label":859,"slug":858,"count":788},"pyspark","Pyspark",{"key":861,"label":862,"slug":861,"count":730},"mongodb","Mongodb",{"key":864,"label":665,"slug":864,"count":730},"azure-data-factory",{"key":866,"label":867,"slug":866,"count":730},"gcp","Gcp",{"key":296,"label":869,"slug":296,"count":730},"Dbt",{"key":871,"label":872,"slug":871,"count":730},"ms-excel","MS Excel",{"key":874,"label":159,"slug":874,"count":795},"kubernetes",{"key":876,"label":144,"slug":876,"count":795},"c",{"key":878,"label":879,"slug":878,"count":795},"sql-server","Sql Server",{"key":768,"label":268,"slug":768,"count":795},[882,884],{"key":22,"label":22,"count":883},77,{"key":885,"label":885,"count":51},"GBP",[887,888],{"key":25,"label":25,"count":883},{"key":889,"label":889,"count":51},"PART_TIME",{"total":891,"jobs":892},0,[]]