[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-skill-snowflake-us":3,"job-search-\u002Fen-us\u002Fjobs-by-skill\u002Fsnowflake?page=1":33,"skill-page-filters-\u002Fen-us\u002Fjobs-by-skill\u002Fsnowflake?page=1":743,"featured-jobs-\u002Fen-us\u002Fjobs-by-skill\u002Fsnowflake?page=1":919},{"image_path":4,"content_de":5,"content_en":18,"composite_key":31,"last_updated":32},"\u002Fimages\u002Fskill\u002Fsnowflake.webp",{"tab1":6,"tab2":9,"tab3":12,"tab4":15},{"title":7,"content":8},"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":10,"content":11},"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":13,"content":14},"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":16,"content":17},"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":19,"tab2":22,"tab3":25,"tab4":28},{"title":20,"content":21},"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":23,"content":24},"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":26,"content":27},"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":29,"content":30},"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",{"total":34,"jobs":35},78,[36,109,137,170,190,225,276,313,360,405,446,482,509,551,574,604,626,650,673,713],{"id":37,"slug":38,"title":39,"raw_title":40,"is_featured":41,"company":42,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":45,"processed_country_iso_code_gmaps":47,"processed_home_office":49,"processed_salary_min":50,"processed_salary_max":51,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":54,"processed_employment_types":56,"processed_it_skills":57,"processed_it_skills_labels":61,"processed_job_expertise_skills":87,"processed_job_expertise_skills_labels":88,"max_cpc":107,"actual_cpc":108},88170,"staff-data-engineer-hybrid-hartford-fire-ins-co","Staff Data Engineer - Hybrid",null,false,{"name":43,"slug":44,"logo_url":40},"Hartford Fire Ins. Co","hartford-fire-ins-co",[46],"Hartford",[48],"US","hybrid",125760,188640,"USD","estimated",[55],"FULL_TIME","permanent",{"aws":58,"etl":58,"sql":58,"qlik":59,"azure":59,"ci\u002Fcd":59,"nosql":59,"spark":58,"aws s3":59,"github":59,"oracle":59,"python":58,"aws dms":59,"aws emr":59,"pyspark":58,"ai tools":60,"big data":58,"openflow":59,"shareplex":59,"snowflake":58,"aws lambda":59,"aws bedrock":60,"google vertex":60,"informatica cloud":59,"informatica powercenter":59},4,3,2,[62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86],"SQL","NoSQL","ETL","CI\u002FCD","Big Data","AWS","Azure","Python","Spark","Snowflake","Oracle","Informatica Cloud","Informatica PowerCenter","GitHub","Qlik","Shareplex","OpenFlow","AWS DMS","PySpark","AWS EMR","AWS S3","AWS Lambda","AI Tools","AWS Bedrock","Google Vertex",{"roadmaps":59,"data lake":59,"data mesh":59,"data fabric":59,"data mining":59,"data quality":58,"data cleansing":58,"data engineering":58,"data warehousing":58,"project strategy":59,"cloud architecture":58,"portfolio strategy":59,"distributed systems":58,"solution architecture":58,"big data methodologies":58,"data science algorithms":59,"data processing pipelines":58,"technical requirements documentation":58},[89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106],"Data Engineering","Distributed Systems","Data Warehousing","Data Mesh","Data Lake","Data Fabric","Solution Architecture","Data Cleansing","Data Quality","Technical Requirements Documentation","Cloud Architecture","Big Data Methodologies","Data Processing Pipelines","Data Mining","Data Science Algorithms","Project Strategy","Portfolio Strategy","Roadmaps",1,1.5,{"id":110,"slug":111,"title":112,"raw_title":40,"is_featured":41,"company":113,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":116,"processed_country_iso_code_gmaps":117,"processed_home_office":49,"processed_salary_min":118,"processed_salary_max":119,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":120,"processed_employment_types":56,"processed_it_skills":121,"processed_it_skills_labels":122,"processed_job_expertise_skills":127,"processed_job_expertise_skills_labels":128,"max_cpc":107,"actual_cpc":108},87415,"sr-data-engineer-sedgwick-claims-management-services-inc","Sr. Data Engineer",{"name":114,"slug":115,"logo_url":40},"Sedgwick Claims Management Services Inc.","sedgwick-claims-management-services-inc",[],[48],120000,160000,[55],{"aws":60,"dbt":59,"sql":58,"ci\u002Fcd":59,"python":58,"snowflake":58,"azure functions":59,"azure data factory":59,"azure stream analytics":59},[71,69,62,123,124,125,126,67,65],"dbt","Azure Data Factory","Azure Functions","Azure Stream Analytics",{"mentorship":59,"data modeling":58,"data governance":59,"semantic layers":59,"team management":59,"data engineering":58,"metadata management":59,"reference architecture":59,"data pipeline architecture":58},[89,129,130,131,132,133,134,135,136],"Data Pipeline Architecture","Data Modeling","Semantic Layers","Metadata Management","Reference Architecture","Data Governance","Team Management","Mentorship",{"id":138,"slug":139,"title":140,"raw_title":40,"is_featured":41,"company":141,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":144,"processed_country_iso_code_gmaps":146,"processed_home_office":49,"processed_salary_min":147,"processed_salary_max":148,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":149,"processed_employment_types":56,"processed_it_skills":150,"processed_it_skills_labels":151,"processed_job_expertise_skills":161,"processed_job_expertise_skills_labels":162,"max_cpc":107,"actual_cpc":108},85838,"software-engineer-snowflake-manufacturers-and-traders-trust-co","Software Engineer - Snowflake",{"name":142,"slug":143,"logo_url":40},"Manufacturers and Traders Trust Co","manufacturers-and-traders-trust-co",[145],"Buffalo",[48],80900,134800,[55],{"etl":59,"sql":58,"azure":59,"ci\u002Fcd":59,"linux":59,"rdbms":59,"gitlab":59,"pytest":59,"python":58,"ansible":59,"fastapi":59,"pydantic":59,"snowflake":58,"terraform":59,"databricks":59},[69,152,153,154,71,155,62,156,64,65,157,158,159,160,68],"PyTest","Pydantic","FastAPI","Databricks","RDBMS","GitLab","Terraform","Ansible","Linux",{"risk management":60,"data engineering":59,"systems analysis":59,"platform governance":59,"medallion architecture":59,"application development":59,"resiliency improvements":59,"performance optimization":59},[163,164,89,165,166,167,168,169],"Systems Analysis","Application Development","Medallion Architecture","Platform Governance","Risk Management","Performance Optimization","Resiliency Improvements",{"id":171,"slug":172,"title":173,"raw_title":40,"is_featured":41,"company":174,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":175,"processed_country_iso_code_gmaps":176,"processed_home_office":49,"processed_salary_min":177,"processed_salary_max":178,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":179,"processed_employment_types":56,"processed_it_skills":180,"processed_it_skills_labels":181,"processed_job_expertise_skills":184,"processed_job_expertise_skills_labels":185,"max_cpc":107,"actual_cpc":108},85832,"senior-software-engineer-snowflake-manufacturers-and-traders-trust-co","Senior Software Engineer - Snowflake",{"name":142,"slug":143,"logo_url":40},[145],[48],97100,161800,[55],{"etl":59,"sql":58,"azure":59,"ci\u002Fcd":59,"linux":59,"rdbms":59,"gitlab":59,"pytest":59,"python":58,"ansible":59,"fastapi":59,"pydantic":59,"oauth 2.0":59,"snowflake":58,"terraform":59,"databricks":59,"ai engineering":59},[69,152,153,154,182,71,155,62,156,64,65,157,158,159,183,160,68],"OAuth 2.0","AI Engineering",{"risk management":59,"software design":58,"data engineering":58,"systems analysis":58,"platform governance":58,"software development":58,"regulatory compliance":59,"medallion architecture":59,"resiliency engineering":58,"application development":58,"performance optimization":58},[163,164,186,187,168,188,166,167,189,165,89],"Software Design","Software Development","Resiliency Engineering","Regulatory Compliance",{"id":191,"slug":192,"title":193,"raw_title":40,"is_featured":41,"company":194,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":197,"processed_country_iso_code_gmaps":199,"processed_home_office":49,"processed_salary_min":200,"processed_salary_max":201,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":202,"processed_employment_types":56,"processed_it_skills":203,"processed_it_skills_labels":204,"processed_job_expertise_skills":213,"processed_job_expertise_skills_labels":214,"max_cpc":107,"actual_cpc":108},83543,"application-engineering-manager-great-american-insurance-company","Application Engineering Manager",{"name":195,"slug":196,"logo_url":40},"Great American Insurance Company","great-american-insurance-company",[198],"Cincinnati",[48],150000,200000,[55],{"aws":59,".net":59,"java":59,"azure":59,"rally":59,"claude":59,"openai":59,"oracle":59,"python":59,"snowflake":59,"sql server":59,"github copilot":59,"api development":59},[69,205,206,207,72,71,68,67,208,209,210,211,212],"Java",".NET","SQL Server","GitHub Copilot","Claude","OpenAI","Rally","API development",{"sdlc":58,"cloud platforms":59,"machine learning":59,"budget management":59,"strategic planning":58,"process improvement":58,"software development":58,"ai-enabled development":59,"performance management":58,"application development":58,"requirements documentation":59,"agile methodologies (scrum, kanban, xp)":58},[187,164,215,216,217,218,219,220,221,222,223,224],"Agile Methodologies (Scrum, Kanban, XP)","Machine Learning","SDLC","Strategic Planning","Process Improvement","Budget Management","Performance Management","Requirements Documentation","Cloud Platforms","AI-enabled Development",{"id":226,"slug":227,"title":228,"raw_title":40,"is_featured":41,"company":229,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":232,"processed_country_iso_code_gmaps":234,"processed_home_office":49,"processed_salary_min":235,"processed_salary_max":236,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":237,"processed_employment_types":56,"processed_it_skills":238,"processed_it_skills_labels":239,"processed_job_expertise_skills":259,"processed_job_expertise_skills_labels":260,"max_cpc":107,"actual_cpc":108},83781,"senior-machine-learning-engineer-fraud-risk-modeling-government-employees-insurance-company","Senior Machine Learning Engineer, Fraud Risk Modeling",{"name":230,"slug":231,"logo_url":40},"Government Employees Insurance Company","government-employees-insurance-company",[233],"Palo Alto",[48],115000,230000,[55],{"c#":58,"aws":58,"c++":58,"gcp":58,"git":58,"ray":58,"java":58,"azure":58,"kafka":58,"spark":58,"docker":58,"python":58,"airflow":58,"mongodb":58,"pytorch":58,"temporal":58,"cassandra":58,"snowflake":58,"kubernetes":58,"postgresql":58,"tensorflow":58,"scikit-learn":58,"aws sagemaker":59,"gcp ai platform":59,"azure machine learning":59},[69,205,240,241,242,243,244,67,68,245,246,247,248,71,249,250,251,252,70,253,254,255,256,257,258],"C++","C#","TensorFlow","PyTorch","Scikit-learn","GCP","Docker","Kubernetes","Git","Kafka","PostgreSQL","MongoDB","Cassandra","Ray","Airflow","Temporal","AWS SageMaker","GCP AI Platform","Azure Machine Learning",{"mlops":58,"deep learning":58,"system design":58,"design patterns":58,"machine learning":58,"model deployment":58,"agile methodologies":59,"distributed systems":58,"real-time inference":59,"gpu\u002Ftpu optimization":59,"serverless computing":59,"software engineering":58,"fault-tolerant systems":58,"object-oriented design":58,"reinforcement learning":58,"performance optimization":58,"low-latency model serving":59,"natural language processing":58},[216,261,262,263,264,265,266,90,267,268,269,270,168,271,272,273,274,275],"Deep Learning","Reinforcement Learning","Natural Language Processing","Software Engineering","System Design","MLOps","Object-Oriented Design","Design Patterns","Agile Methodologies","Model Deployment","Fault-Tolerant Systems","Real-Time Inference","Low-Latency Model Serving","Serverless Computing","GPU\u002FTPU Optimization",{"id":277,"slug":278,"title":279,"raw_title":40,"is_featured":41,"company":280,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":281,"processed_country_iso_code_gmaps":282,"processed_home_office":49,"processed_salary_min":200,"processed_salary_max":283,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":284,"processed_employment_types":56,"processed_it_skills":285,"processed_it_skills_labels":286,"processed_job_expertise_skills":292,"processed_job_expertise_skills_labels":293,"max_cpc":107,"actual_cpc":108},83786,"senior-staff-ml-engineer-government-employees-insurance-company","Senior Staff ML Engineer",{"name":230,"slug":231,"logo_url":40},[233],[48],300000,[55],{"aws":59,"dbt":59,"java":58,"azure":59,"neo4j":59,"redis":59,"spark":59,"python":58,"airflow":59,"mongodb":59,"pytorch":59,"azure ml":59,"sagemaker":59,"snowflake":59,"kubernetes":59,"tensorflow":59,"scikit-learn":59},[69,205,254,287,247,70,251,71,288,289,67,68,290,291,242,243,244],"DBT","Neo4j","Redis","SageMaker","Azure ML",{"rag":59,"fairness":58,"fine-tuning":59,"risk modeling":58,"explainability":58,"llm deployment":59,"bias mitigation":58,"cloud platforms":58,"fraud detection":58,"digital identity":58,"machine learning":58,"model governance":58,"trust and safety":58,"big data technologies":58,"graph neural networks":59,"regulatory compliance":58,"model interpretability":58,"artificial intelligence":58,"aiml lifecycle management":58,"large-scale data pipelines":58,"backend distributed systems":58,"real-time aiml serving architectures":58},[216,294,295,296,297,298,299,300,301,302,303,223,304,305,189,306,307,308,309,310,311,312],"Artificial Intelligence","Fraud Detection","Risk Modeling","Trust and Safety","Digital Identity","Large-scale Data Pipelines","Real-time AIML Serving Architectures","AIML Lifecycle Management","Backend Distributed Systems","Big Data Technologies","Model Interpretability","Fairness","Model Governance","Explainability","Bias Mitigation","LLM Deployment","RAG","Fine-tuning","Graph Neural Networks",{"id":314,"slug":315,"title":316,"raw_title":40,"is_featured":41,"company":317,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":320,"processed_country_iso_code_gmaps":322,"processed_home_office":323,"processed_salary_min":324,"processed_salary_max":325,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":326,"processed_employment_types":56,"processed_it_skills":327,"processed_it_skills_labels":328,"processed_job_expertise_skills":343,"processed_job_expertise_skills_labels":344,"max_cpc":107,"actual_cpc":108},80877,"database-administrator-ii-first-financial-bank","Database Administrator II",{"name":318,"slug":319,"logo_url":40},"first financial bank","first-financial-bank",[321],"Springdale",[48],"onsite",74000,100000,[55],{"etl":59,"t-sql":58,"power bi":60,"azure sql":60,"snowflake":60,"powershell":59,"replication":60,"log shipping":60,"microsoft fabric":60,"sql server agent":59,"azure data factory":60,"microsoft sql server":58,"azure sql managed instance":60,"always on availability groups":60,"windows server failover clustering":60,"sql server reporting services (ssrs)":59,"sql server integration services (ssis)":59},[329,330,331,332,64,333,334,335,336,337,71,338,124,339,340,341,342],"Microsoft SQL Server","T-SQL","SQL Server Integration Services (SSIS)","SQL Server Reporting Services (SSRS)","PowerShell","SQL Server Agent","Azure SQL","Azure SQL Managed Instance","Microsoft Fabric","Power BI","Windows Server Failover Clustering","Always On Availability Groups","Log Shipping","Replication",{"audit":60,"data privacy":60,"sox compliance":60,"data integration":58,"data warehousing":59,"change management":59,"database security":58,"performance tuning":58,"query optimization":58,"release management":59,"backup and recovery":58,"database development":58,"dimensional modeling":59,"database administration":58,"relational database design":58,"software development lifecycle":59},[345,346,347,348,349,350,351,352,353,91,354,355,356,357,358,359],"Database Administration","Database Development","Data Integration","Query Optimization","Relational Database Design","Database Security","Backup and Recovery","Performance Tuning","Dimensional Modeling","Release Management","Change Management","Software Development Lifecycle","SOX Compliance","Audit","Data Privacy",{"id":361,"slug":362,"title":363,"raw_title":40,"is_featured":41,"company":364,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":365,"processed_country_iso_code_gmaps":366,"processed_home_office":367,"processed_salary_min":201,"processed_salary_max":283,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":368,"processed_employment_types":56,"processed_it_skills":369,"processed_it_skills_labels":370,"processed_job_expertise_skills":388,"processed_job_expertise_skills_labels":389,"max_cpc":107,"actual_cpc":108},87378,"vp-ai-engineering-enterprise-sedgwick-claims-management-services-inc","VP AI Engineering - Enterprise",{"name":114,"slug":115,"logo_url":40},[],[48],"remote",[55],{"aws":58,"db2":59,"rag":58,"sso":59,"apis":58,"llms":58,"rbac":59,"azure":58,"etl\u002Felt":58,"mainframe":59,"snowflake":58,"agentic ai":58,"sql server":59,"generative ai":58,"feature stores":58,"data permissions":59,"machine learning":58,"vector databases":58,"claude enterprise":58,"microsoft copilot":59,"chatgpt enterprise":58,"workflow automation":58,"cloud data platforms":58},[71,67,68,371,207,372,373,374,375,310,376,377,378,379,380,381,382,383,384,385,386,216,387],"ETL\u002FELT","DB2","Mainframe","LLMs","Agentic AI","APIs","Workflow Automation","Vector Databases","Feature Stores","ChatGPT Enterprise","Claude Enterprise","Microsoft Copilot","SSO","RBAC","Data Permissions","Cloud Data Platforms","Generative AI",{"budgeting":58,"ai governance":58,"ai engineering":58,"cost governance":58,"data governance":58,"risk management":58,"roi measurement":58,"talent strategy":58,"data engineering":58,"vendor management":58,"license management":58,"succession planning":58,"technology strategy":58,"financial management":58,"security and privacy":58,"regulatory compliance":58,"enterprise integration":58,"enterprise architecture":58,"platform administration":58,"investment prioritization":58},[89,183,390,134,391,392,393,394,395,396,397,398,189,399,400,401,402,403,404,167],"Enterprise Architecture","AI Governance","Financial Management","Budgeting","Investment Prioritization","ROI Measurement","Vendor Management","License Management","Cost Governance","Security and Privacy","Talent Strategy","Succession Planning","Platform Administration","Enterprise Integration","Technology Strategy",{"id":406,"slug":407,"title":408,"raw_title":40,"is_featured":41,"company":409,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":413,"processed_country_iso_code_gmaps":415,"processed_home_office":323,"processed_salary_min":416,"processed_salary_max":417,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":418,"processed_employment_types":56,"processed_it_skills":419,"processed_it_skills_labels":420,"processed_job_expertise_skills":435,"processed_job_expertise_skills_labels":436,"max_cpc":107,"actual_cpc":108},88240,"asset-management-application-support-nuveen-services-llc","Asset Management Application Support",{"name":410,"slug":411,"logo_url":412},"Nuveen Services LLC","nuveen-services-llc","https:\u002F\u002Ftiaa.wd1.myworkdayjobs.com\u002Fsearch\u002Fassets\u002Flogo",[414],"Woodbridge Township",[48],128000,174000,[55],{"aws":58,"nas":59,"linux":59,"react":59,"devops":59,"lambda":59,"azure ad":59,"angularjs":59,"snowflake":58,"api gateway":59,"programming":59,"aws security":59,"agile methodology":59,"cloud-native architecture":59,"web application development":59,"software development life cycle":59,"continuous integration and deployment":59},[71,67,160,421,422,423,424,425,426,427,428,429,430,431,432,433,434],"Azure AD","NAS","AWS security","Cloud-native architecture","Lambda","API Gateway","AngularJS","React","Agile Methodology","Continuous Integration and Deployment","DevOps","Programming","Software Development Life Cycle","Web Application Development",{"debugging":59,"data analysis":59,"leveraged loans":59,"technical design":59,"application support":58,"trading environment":58,"software development":59,"operating systems management":59,"enterprise application integration":59,"collateralized loan obligations (clos)":59},[437,438,439,440,441,442,443,444,445,187],"Application Support","Trading Environment","Collateralized Loan Obligations (CLOs)","Leveraged Loans","Technical Design","Data Analysis","Debugging","Enterprise Application Integration","Operating Systems Management",{"id":447,"slug":448,"title":449,"raw_title":40,"is_featured":41,"company":450,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":453,"processed_country_iso_code_gmaps":455,"processed_home_office":49,"processed_salary_min":456,"processed_salary_max":457,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":458,"processed_employment_types":56,"processed_it_skills":459,"processed_it_skills_labels":460,"processed_job_expertise_skills":461,"processed_job_expertise_skills_labels":462,"max_cpc":107,"actual_cpc":108},88313,"intermediate-business-systems-analyst-transamerica","Intermediate Business Systems Analyst",{"name":451,"slug":452,"logo_url":40},"Transamerica","transamerica",[454],"Cedar Rapids",[48],70000,80000,[55],{"sql":59,"azure":59,"snowflake":59},[62,71,68],{"finance":59,"testing":58,"reporting":58,"compliance":59,"governance":59,"audit support":59,"data analysis":58,"documentation":58,"access reviews":59,"sustainability":59,"process mapping":58,"risk management":59,"issue resolution":58,"business analysis":58,"incident analysis":58,"vendor management":58,"process automation":59,"application support":58,"process improvement":58,"regulatory reporting":59,"data quality analysis":58,"continuous improvement":58,"requirements management":58,"user acceptance testing":58},[463,464,465,466,442,467,437,468,396,167,469,470,471,472,219,473,474,475,476,477,478,479,480,481],"Business Analysis","Requirements Management","Process Mapping","Documentation","Reporting","Testing","Finance","Sustainability","Regulatory Reporting","Governance","User Acceptance Testing","Incident Analysis","Issue Resolution","Data Quality Analysis","Compliance","Audit Support","Access Reviews","Process Automation","Continuous Improvement",{"id":483,"slug":484,"title":485,"raw_title":40,"is_featured":41,"company":486,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":489,"processed_country_iso_code_gmaps":491,"processed_home_office":323,"processed_salary_min":492,"processed_salary_max":493,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":494,"processed_employment_types":56,"processed_it_skills":495,"processed_it_skills_labels":496,"processed_job_expertise_skills":504,"processed_job_expertise_skills_labels":505,"max_cpc":107,"actual_cpc":108},86633,"cadre-datasoftware-engineer-federal-reserve-bank-of-kansas-city","CADRE Data\u002FSoftware Engineer",{"name":487,"slug":488,"logo_url":40},"Federal Reserve Bank of Kansas City","federal-reserve-bank-of-kansas-city",[490],"Kansas City",[48],113500,181500,[55],{"s3":59,"aws":58,"sql":58,"mysql":58,"spark":59,"gitlab":59,"python":58,"airflow":59,"jupyter":59,"pyspark":58,"tableau":58,"collibra":59,"redshift":59,"snowflake":59,"starburst":59,"databricks":59,"postgresql":58},[62,250,497,498,67,157,155,499,500,69,80,501,502,70,254,503,71],"MySQL","Tableau","Collibra","Starburst","Jupyter","S3","Redshift",{"etl":58,"agile\u002Fdevops":58,"data engineering":58,"data warehousing":58,"cloud architecture":58,"statistical analysis":59,"data quality assurance":58},[89,64,91,506,507,508,99],"Agile\u002FDevOps","Statistical Analysis","Data Quality Assurance",{"id":510,"slug":511,"title":512,"raw_title":40,"is_featured":41,"company":513,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":516,"processed_country_iso_code_gmaps":517,"processed_home_office":367,"processed_salary_min":518,"processed_salary_max":519,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":520,"processed_employment_types":56,"processed_it_skills":521,"processed_it_skills_labels":522,"processed_job_expertise_skills":532,"processed_job_expertise_skills_labels":533,"max_cpc":107,"actual_cpc":108},79922,"insurance-product-analyst-iv-product-intelligence-remote-501-csaa-insurance-services-inc","Insurance Product Analyst IV, Product Intelligence - Remote",{"name":514,"slug":515,"logo_url":40},"501 CSAA Insurance Services, Inc.","501-csaa-insurance-services-inc",[],[48],110700,147500,[55],{"r":59,"sas":59,"sql":58,"pendo":59,"looker":59,"python":59,"essbase":59,"tableau":59,"mixpanel":59,"power bi":59,"snowflake":59,"visual basic":59,"microsoft excel":58,"microsoft office suite":59},[62,523,338,498,524,71,69,525,526,527,528,529,530,531],"Microsoft Excel","Looker","R","SAS","Visual Basic","Microsoft Office Suite","Essbase","Mixpanel","Pendo",{"research":58,"accounting":59,"data analysis":58,"data governance":59,"experimentation":58,"design techniques":59,"digital analytics":58,"scenario modeling":58,"data visualization":58,"financial analysis":58,"product management":59,"insurance knowledge":58,"mathematical skills":58,"process improvement":58,"structured analysis":58,"behavioral analytics":58,"rate-making concepts":59,"statistical analysis":58,"business intelligence":58,"ai tools and techniques":59,"business case development":58},[534,507,442,535,536,537,538,539,540,541,542,543,219,134,544,545,546,547,548,549,550],"Insurance Knowledge","Financial Analysis","Product Management","Business Intelligence","Data Visualization","Digital Analytics","Behavioral Analytics","Experimentation","Scenario Modeling","Business Case Development","AI Tools and Techniques","Rate-making Concepts","Accounting","Research","Mathematical Skills","Structured Analysis","Design Techniques",{"id":552,"slug":553,"title":554,"raw_title":40,"is_featured":41,"company":555,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":556,"processed_country_iso_code_gmaps":558,"processed_home_office":49,"processed_salary_min":559,"processed_salary_max":560,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":561,"processed_employment_types":56,"processed_it_skills":562,"processed_it_skills_labels":563,"processed_job_expertise_skills":570,"processed_job_expertise_skills_labels":571,"max_cpc":107,"actual_cpc":108},83759,"senior-marketing-data-operations-engineer-government-employees-insurance-company","Senior Marketing Data Operations Engineer",{"name":230,"slug":231,"logo_url":40},[557],"New York",[48],105000,215000,[55],{"r":58,"aws":58,"elt":58,"etl":58,"gcp":58,"git":58,"sql":58,"azure":58,"scala":58,"python":58,"rest apis":58,"snowflake":58,"confluence":58,"databricks":58,"sharepoint":58,"cloud devops":58},[525,69,564,62,71,155,64,565,566,68,67,245,567,248,568,569],"Scala","ELT","Cloud DevOps","REST APIs","SharePoint","Confluence",{"data analysis":58,"data engineering":58,"agile methodology":58,"cloud architecture":58,"marketing optimization":58,"data pipeline development":58},[572,573,99,429,442,89],"Marketing Optimization","Data Pipeline Development",{"id":575,"slug":576,"title":577,"raw_title":40,"is_featured":41,"company":578,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":579,"processed_country_iso_code_gmaps":580,"processed_home_office":49,"processed_salary_min":177,"processed_salary_max":178,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":581,"processed_employment_types":56,"processed_it_skills":582,"processed_it_skills_labels":583,"processed_job_expertise_skills":588,"processed_job_expertise_skills_labels":589,"max_cpc":107,"actual_cpc":108},85830,"senior-software-engineer-liquidity-treasury-manufacturers-and-traders-trust-co","Senior Software Engineer - Liquidity & Treasury",{"name":142,"slug":143,"logo_url":40},[145],[48],[55],{"sql":58,"automic":58,"etl\u002Felt":59,"snowflake":58,"ci\u002Fcd tools":59,"source control":59,"secure file-transfer technologies":59},[71,62,584,585,586,371,587],"Automic","CI\u002FCD tools","Source control","Secure file-transfer technologies",{"sdlc":58,"data lineage":58,"reconciliations":58,"batch scheduling":58,"data integration":58,"data warehousing":58,"disaster recovery":59,"production support":59,"release management":59,"incident management":59,"relational databases":58,"application architecture":59,"audit-ready documentation":58,"liquidity financial reporting":58,"regulatory reporting (fr 2052a, lcr, nsfr, ilst)":58},[590,591,592,593,594,595,596,597,598,599,600,601,602,603,217],"Liquidity financial reporting","Regulatory reporting (FR 2052a, LCR, NSFR, ILST)","Data lineage","Reconciliations","Audit-ready documentation","Data integration","Data warehousing","Relational databases","Batch scheduling","Incident management","Production support","Disaster recovery","Release management","Application architecture",{"id":605,"slug":606,"title":607,"raw_title":40,"is_featured":41,"company":608,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":611,"processed_country_iso_code_gmaps":613,"processed_home_office":323,"processed_salary_min":614,"processed_salary_max":614,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":615,"processed_employment_types":616,"processed_it_skills":617,"processed_it_skills_labels":618,"processed_job_expertise_skills":620,"processed_job_expertise_skills_labels":621,"max_cpc":107,"actual_cpc":108},84405,"early-career-intern-distribution-technology-invesco-group-services-inc","Early Career Intern - Distribution Technology",{"name":609,"slug":610,"logo_url":40},"Invesco Group Services, INC.","invesco-group-services-inc",[612],"Atlanta",[48],37,[55],"student",{"aws":107,"sql":60,"python":60,"airflow":107,"power bi":60,"snowflake":107,"microsoft excel":59,"microsoft office":60},[69,62,338,523,71,67,254,619],"Microsoft Office",{"web development":107,"data engineering":107,"business analysis":107,"quality assurance":107,"project management":107,"application development":107,"enterprise architecture":107,"infrastructure engineering":107},[463,622,164,623,390,624,625,89],"Project Management","Web Development","Quality Assurance","Infrastructure Engineering",{"id":627,"slug":628,"title":629,"raw_title":40,"is_featured":41,"company":630,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":631,"processed_country_iso_code_gmaps":632,"processed_home_office":49,"processed_salary_min":147,"processed_salary_max":148,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":633,"processed_employment_types":56,"processed_it_skills":634,"processed_it_skills_labels":635,"processed_job_expertise_skills":639,"processed_job_expertise_skills_labels":640,"max_cpc":107,"actual_cpc":108},85840,"software-engineer-liquidity-reporting-manufacturers-and-traders-trust-co","Software Engineer - Liquidity Reporting",{"name":142,"slug":143,"logo_url":40},[145],[48],[55],{"sql":59,"ci\u002Fcd":60,"automic":59,"etl\u002Felt":59,"snowflake":59,"source control":60,"data warehousing":59,"relational databases":59,"secure file transfer":60},[71,62,584,371,65,636,637,91,638],"Source Control","Relational Databases","Secure File Transfer",{"risk management":59,"systems analysis":59,"disaster recovery":59,"production support":59,"audit documentation":59,"data reconciliation":59,"data transformation":59,"financial reporting":59,"incident management":59,"liquidity reporting":59,"regulatory reporting":59,"application development":59,"software development lifecycle (sdlc)":59},[641,471,642,163,164,643,644,645,646,167,647,648,649],"Liquidity Reporting","Financial Reporting","Software Development Lifecycle (SDLC)","Data Transformation","Data Reconciliation","Audit Documentation","Production Support","Incident Management","Disaster Recovery",{"id":651,"slug":652,"title":653,"raw_title":40,"is_featured":41,"company":654,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":655,"processed_country_iso_code_gmaps":657,"processed_home_office":49,"processed_salary_min":658,"processed_salary_max":659,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":660,"processed_employment_types":616,"processed_it_skills":662,"processed_it_skills_labels":663,"processed_job_expertise_skills":666,"processed_job_expertise_skills_labels":667,"max_cpc":107,"actual_cpc":108},83600,"analyst-internship-actuarial-cfo-org-government-employees-insurance-company","Analyst Internship- Actuarial (CFO Org)",{"name":230,"slug":231,"logo_url":40},[656],"Bethesda",[48],24930,41210,[661],"PART_TIME",{"r":60,"sas":60,"sql":60,"resq":60,"excel":59,"python":60,"power bi":60,"snowflake":60},[664,62,525,526,69,338,71,665],"Excel","ResQ",{"data analysis":59,"actuarial science":59,"reserving analysis":59,"claim trend analysis":59,"stakeholder communication":59,"frequency\u002Fseverity projections":59},[668,669,670,671,442,672],"Actuarial Science","Reserving Analysis","Claim Trend Analysis","Frequency\u002FSeverity Projections","Stakeholder Communication",{"id":674,"slug":675,"title":676,"raw_title":40,"is_featured":41,"company":677,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":678,"processed_country_iso_code_gmaps":679,"processed_home_office":49,"processed_salary_min":680,"processed_salary_max":681,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":682,"processed_employment_types":56,"processed_it_skills":683,"processed_it_skills_labels":684,"processed_job_expertise_skills":698,"processed_job_expertise_skills_labels":699,"max_cpc":107,"actual_cpc":108},88143,"director-data-and-analytics-ai-engineering-hartford-fire-ins-co","Director Data and Analytics AI Engineering",{"name":43,"slug":44,"logo_url":40},[46],[48],156000,234000,[55],{"llms":58,"devops":59,"pinecone":59,"postgres":59,"data apis":59,"snowflake":58,"vertex ai":59,"data lakes":58,"opensearch":59,"ai platforms":58,"data pipelines":58,"data integration":58,"data warehousing":58,"vector databases":58,"agentic frameworks":59,"cloud technologies":58,"prompt engineering":58,"business intelligence":58,"real-time data streaming":59,"retrieval-augmented generation (rag)":58},[71,685,374,686,687,378,688,689,690,691,692,91,693,347,537,694,431,695,696,697],"AI Platforms","Prompt Engineering","Retrieval-Augmented Generation (RAG)","Vertex AI","Postgres","OpenSearch","Pinecone","Data Pipelines","Data Lakes","Cloud Technologies","Data APIs","Real-time Data Streaming","Agentic Frameworks",{"ai\u002Fml":58,"pricing":58,"reserving":58,"data quality":58,"underwriting":58,"data modeling":58,"data products":58,"agile at scale":58,"data governance":58,"semantic layers":58,"data engineering":58,"budget management":58,"data architecture":58,"data modernization":58,"actuarial analytics":58,"financial analytics":58,"insurance analytics":58,"portfolio management":58,"analytics solution delivery":58},[89,700,134,97,701,702,703,704,705,706,707,220,708,709,130,710,131,711,712],"Data Architecture","Actuarial Analytics","Insurance Analytics","Pricing","Reserving","Underwriting","Portfolio Management","Financial Analytics","Agile at Scale","AI\u002FML","Data Modernization","Data Products","Analytics Solution Delivery",{"id":714,"slug":715,"title":716,"raw_title":40,"is_featured":41,"company":717,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":720,"processed_country_iso_code_gmaps":722,"processed_home_office":323,"processed_salary_min":723,"processed_salary_max":724,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":725,"processed_employment_types":56,"processed_it_skills":726,"processed_it_skills_labels":727,"processed_job_expertise_skills":729,"processed_job_expertise_skills_labels":730,"max_cpc":107,"actual_cpc":108},88230,"annuitization-product-capability-owner-tiaa","Annuitization Product Capability Owner",{"name":718,"slug":719,"logo_url":40},"TIAA","tiaa",[721],"Frisco",[48],85000,119000,[55],{"sql":58,"tableau":58,"snowflake":59,"powerpoint":58},[62,71,498,728],"PowerPoint",{"operations":59,"data analysis":58,"data governance":59,"financial acumen":58,"agile methodology":59,"product management":58,"annuities knowledge":59,"business management":59,"roadmap development":58,"root cause analysis":59,"business requirements":58,"stakeholder management":58,"voice of customer analysis":59,"business process improvement":59,"lifetime income products knowledge":59,"insurance-based financial solutions knowledge":59},[731,732,442,536,733,734,429,735,736,737,134,738,739,740,741,742],"Business Management","Operations","Roadmap Development","Stakeholder Management","Business Process Improvement","Business Requirements","Financial Acumen","Root Cause Analysis","Voice of Customer Analysis","Annuities Knowledge","Lifetime Income Products Knowledge","Insurance-based Financial Solutions Knowledge",{"industry":744,"employment_type":774,"expertise_skills":781,"it_skills":845,"salary_currency":911,"processed_working_hours":916},[745,749,753,757,760,762,765,768,771],{"key":746,"label":747,"count":748},"insurance","Insurance",39,{"key":750,"label":751,"count":752},"financial services","Financial Services",24,{"key":754,"label":755,"count":756},"asset management","Asset Management",8,{"key":758,"label":759,"count":756},"banking","Banking",{"key":761,"label":167,"count":58},"risk management",{"key":763,"label":764,"count":58},"financial markets infrastructure","Financial Markets Infrastructure",{"key":766,"label":767,"count":59},"data","Data",{"key":769,"label":770,"count":107},"reinsurance","Reinsurance",{"key":772,"label":773,"count":107},"data provider","Data Provider",[775,778],{"key":56,"label":776,"count":777},"PERMANENT",72,{"key":616,"label":779,"count":780},"STUDENT",5,[782,785,788,791,793,795,798,800,803,806,808,812,814,817,819,821,824,827,830,832,835,837,840,842],{"key":783,"label":134,"slug":783,"count":784},"data-governance",28,{"key":786,"label":89,"slug":786,"count":787},"data-engineering",21,{"key":789,"label":97,"slug":789,"count":790},"data-quality",14,{"key":792,"label":167,"slug":792,"count":790},"risk-management",{"key":794,"label":442,"slug":794,"count":790},"data-analysis",{"key":796,"label":91,"slug":796,"count":797},"data-warehousing",13,{"key":799,"label":130,"slug":799,"count":797},"data-modeling",{"key":801,"label":700,"slug":801,"count":802},"data-architecture",12,{"key":804,"label":216,"slug":804,"count":805},"machine-learning",11,{"key":807,"label":189,"slug":807,"count":805},"regulatory-compliance",{"key":809,"label":810,"slug":809,"count":811},"project-management","Project management",10,{"key":813,"label":396,"slug":813,"count":811},"vendor-management",{"key":815,"label":477,"slug":815,"count":816},"compliance",9,{"key":818,"label":99,"slug":818,"count":756},"cloud-architecture",{"key":820,"label":390,"slug":820,"count":756},"enterprise-architecture",{"key":822,"label":347,"slug":822,"count":823},"data-integration",7,{"key":825,"label":269,"slug":825,"count":826},"agile-methodologies",6,{"key":828,"label":829,"slug":828,"count":826},"data-security","Data Security",{"key":831,"label":537,"slug":831,"count":826},"business-intelligence",{"key":833,"label":834,"slug":833,"count":826},"ai-governance","Ai Governance",{"key":836,"label":219,"slug":836,"count":826},"process-improvement",{"key":838,"label":839,"slug":838,"count":826},"automation","Automation",{"key":841,"label":463,"slug":841,"count":826},"business-analysis",{"key":843,"label":844,"slug":843,"count":826},"sdlc","Sdlc",[846,848,851,854,858,862,865,869,872,875,878,880,883,885,887,890,893,895,898,900,903,905,907,910],{"key":847,"label":71,"slug":847,"count":34},"snowflake",{"key":849,"label":69,"slug":849,"count":850},"python",55,{"key":852,"label":62,"slug":852,"count":853},"sql",53,{"key":855,"label":856,"slug":855,"count":857},"aws","Aws",40,{"key":859,"label":860,"slug":859,"count":861},"ms-azure","MS Azure",33,{"key":863,"label":155,"slug":863,"count":864},"databricks",25,{"key":866,"label":867,"slug":866,"count":868},"ms-powerbi","MS PowerBI",20,{"key":870,"label":249,"slug":870,"count":871},"kafka",17,{"key":873,"label":498,"slug":873,"count":874},"tableau",15,{"key":876,"label":877,"slug":876,"count":790},"cicd","Ci\u002FCd",{"key":879,"label":254,"slug":879,"count":790},"airflow",{"key":881,"label":882,"slug":881,"count":805},"etl","Etl",{"key":884,"label":205,"slug":884,"count":805},"java",{"key":886,"label":70,"slug":886,"count":805},"spark",{"key":888,"label":889,"slug":888,"count":816},"pyspark","Pyspark",{"key":891,"label":892,"slug":891,"count":756},"mongodb","Mongodb",{"key":894,"label":124,"slug":894,"count":756},"azure-data-factory",{"key":896,"label":897,"slug":896,"count":756},"gcp","Gcp",{"key":123,"label":899,"slug":123,"count":756},"Dbt",{"key":901,"label":902,"slug":901,"count":756},"ms-excel","MS Excel",{"key":904,"label":247,"slug":904,"count":823},"kubernetes",{"key":906,"label":241,"slug":906,"count":823},"c",{"key":908,"label":909,"slug":908,"count":823},"sql-server","Sql Server",{"key":796,"label":91,"slug":796,"count":823},[912,914],{"key":52,"label":52,"count":913},77,{"key":915,"label":915,"count":107},"GBP",[917,918],{"key":55,"label":55,"count":913},{"key":661,"label":661,"count":107},{"total":920,"jobs":921},0,[]]