[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-search-\u002Fde-us\u002Fjobs-by-skill\u002Fpython?page=26":3,"seo-content-skill-python-us":630,"skill-page-filters-\u002Fde-us\u002Fjobs-by-skill\u002Fpython?page=26":660,"featured-jobs-\u002Fde-us\u002Fjobs-by-skill\u002Fpython?page=26":911},{"total":4,"jobs":5},610,[6,71,101,128,163,194,226,251,296,326,351,386,434,447,472,499,528,555,571,596],{"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":31,"processed_job_expertise_skills":57,"processed_job_expertise_skills_labels":58,"max_cpc":69,"actual_cpc":70},60122,"lead-network-engineer-usa016-refinitiv-us-llc","Lead Network Engineer",null,false,{"name":13,"slug":14,"logo_url":10},"Refinitiv US LLC","refinitiv-us-llc",[16],"Creve Coeur",[18],"US","onsite",120000,160000,"USD","estimated",[25],"FULL_TIME","permanent",{"f5":28,"rp":29,"bgp":30,"git":28,"gre":30,"nat":30,"pim":29,"vpn":30,"hsrp":30,"igmp":29,"mpls":30,"ospf":30,"cisco":30,"vxlan":28,"arista":28,"gitlab":28,"python":28,"ansible":28,"juniper":28,"rundeck":28,"fortinet":28,"cisco aci":28,"terraform":28,"software defined networking":28,"network packet capture tools":28},3,2,4,[32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56],"Python","Ansible","Terraform","GIT","GitLab","Rundeck","Cisco","Juniper","Arista","Fortinet","F5","HSRP","NAT","MPLS","VPN","GRE","BGP","OSPF","IGMP","RP","PIM","Cisco ACI","VxLAN","Software Defined Networking","Network packet capture tools",{"cloud networking":28,"project delivery":28,"network operations":30,"network engineering":30,"root cause analysis":30,"lifecycle management":28,"routing and switching":30,"technical documentation":28,"low latency trading environments":28,"financial institution network support":28},[59,60,61,62,63,64,65,66,67,68],"Network Engineering","Routing and Switching","Network Operations","Project Delivery","Root Cause Analysis","Lifecycle Management","Technical Documentation","Cloud Networking","Low Latency Trading Environments","Financial Institution Network Support",1,1.5,{"id":72,"slug":73,"title":74,"raw_title":10,"is_featured":11,"company":75,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":78,"processed_country_iso_code_gmaps":79,"processed_home_office":19,"processed_salary_min":80,"processed_salary_max":81,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":82,"processed_employment_types":26,"processed_it_skills":83,"processed_it_skills_labels":84,"processed_job_expertise_skills":89,"processed_job_expertise_skills_labels":90,"max_cpc":69,"actual_cpc":70},64612,"ml-architect-sedgwick-claims-management-services-inc","ML Architect",{"name":76,"slug":77,"logo_url":10},"Sedgwick Claims Management Services Inc.","sedgwick-claims-management-services-inc",[],[18],175000,220000,[25],{"r":30,"sql":30,"python":30,"microsoft office":29,"data visualization tools":28},[32,85,86,87,88],"R","SQL","Data Visualization Tools","Microsoft Office",{"data science":30,"etl pipelines":30,"data wrangling":30,"data exploration":30,"machine learning":30,"data visualization":28,"feature engineering":30,"predictive modeling":30,"statistical analysis":30,"natural language processing":28},[91,92,93,94,95,96,97,98,99,100],"Machine Learning","Predictive Modeling","Data Science","Data Wrangling","Feature Engineering","Natural Language Processing","ETL Pipelines","Data Exploration","Statistical Analysis","Data Visualization",{"id":102,"slug":103,"title":104,"raw_title":10,"is_featured":11,"company":105,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":108,"processed_country_iso_code_gmaps":110,"processed_home_office":19,"processed_salary_min":111,"processed_salary_max":112,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":113,"processed_employment_types":26,"processed_it_skills":114,"processed_it_skills_labels":115,"processed_job_expertise_skills":117,"processed_job_expertise_skills_labels":118,"max_cpc":69,"actual_cpc":70},48936,"equity-research-associate-autos-amp-shared-mobility-ms-amp-co-llc","Equity Research Associate - Autos & Shared Mobility",{"name":106,"slug":107,"logo_url":10},"MS & Co., LLC","ms-co-llc",[109],"New York",[18],150000,200000,[25],{"excel":30,"python":29},[116,32],"Excel",{"data analysis":30,"equity research":30,"primary research":28,"industry analysis":30,"financial modeling":30,"investment banking":28,"ai tools application":28,"sales and trading support":28,"client relationship management":28},[119,120,121,122,123,124,125,126,127],"Financial Modeling","Equity Research","Investment Banking","Data Analysis","Industry Analysis","Primary Research","Client Relationship Management","Sales and Trading Support","AI Tools Application",{"id":129,"slug":130,"title":131,"raw_title":10,"is_featured":11,"company":132,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":135,"processed_country_iso_code_gmaps":137,"processed_home_office":19,"processed_salary_min":138,"processed_salary_max":139,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":140,"processed_employment_types":26,"processed_it_skills":141,"processed_it_skills_labels":142,"processed_job_expertise_skills":150,"processed_job_expertise_skills_labels":151,"max_cpc":69,"actual_cpc":70},83813,"senior-staff-software-engineer-government-employees-insurance-company","Senior Staff Software Engineer",{"name":133,"slug":134,"logo_url":10},"Government Employees Insurance Company","government-employees-insurance-company",[136],"Palo Alto",[18],115000,260000,[25],{"aws":28,"gcp":28,"sql":28,".net":28,"azure":28,"nosql":28,"docker":28,"python":28,"kubernetes":28},[143,32,86,144,145,146,147,148,149],".NET","NoSQL","Docker","Kubernetes","Azure","AWS","GCP",{"cloud services":30,"system training":28,"people management":28,"resource planning":28,"process improvement":28,"software development":30,"open source frameworks":30,"operational evaluation":28,"architecture and design":30,"technical roadmap strategy":30,"cost analysis and forecasting":28},[152,153,154,155,156,157,158,159,160,161,162],"Software Development","Architecture and Design","Open Source Frameworks","Cloud Services","People Management","Technical Roadmap Strategy","Cost Analysis and Forecasting","Resource Planning","Process Improvement","Operational Evaluation","System Training",{"id":164,"slug":165,"title":166,"raw_title":10,"is_featured":11,"company":167,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":170,"processed_country_iso_code_gmaps":172,"processed_home_office":19,"processed_salary_min":173,"processed_salary_max":174,"processed_salary_currency":175,"processed_salary_source":23,"processed_working_hours":176,"processed_employment_types":26,"processed_it_skills":177,"processed_it_skills_labels":178,"processed_job_expertise_skills":184,"processed_job_expertise_skills_labels":185,"max_cpc":69,"actual_cpc":70},59603,"ftse-software-engineering-amp-data-engineering-opportunities-london-stock-exchange-group-holdings-inc","FTSE Software Engineering & Data Engineering Opportunities",{"name":168,"slug":169,"logo_url":10},"London Stock Exchange Group Holdings Inc","london-stock-exchange-group-holdings-inc",[171],"Charlotte",[18],70000,100000,"GBP",[25],{"c#":28,"aws":28,"c++":28,"java":28,"azure":28,"ci\u002Fcd":28,"python":28,"ai-assisted development tooling":28},[179,32,180,181,148,147,182,183],"Java","C++","C#","CI\u002FCD","AI-assisted development tooling",{"data engineering":30,"devops & automation":30,"software engineering":30,"ai & machine learning":30,"analytics & data platforms":30,"cloud & platform engineering":30,"site reliability engineering":30,"architecture & distributed systems":30},[186,187,188,189,190,191,192,193],"Software Engineering","Data Engineering","Cloud & Platform Engineering","Site Reliability Engineering","AI & Machine Learning","DevOps & Automation","Architecture & Distributed Systems","Analytics & Data Platforms",{"id":195,"slug":196,"title":197,"raw_title":10,"is_featured":11,"company":198,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":201,"processed_country_iso_code_gmaps":203,"processed_home_office":204,"processed_salary_min":205,"processed_salary_max":206,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":207,"processed_employment_types":26,"processed_it_skills":208,"processed_it_skills_labels":209,"processed_job_expertise_skills":211,"processed_job_expertise_skills_labels":212,"max_cpc":69,"actual_cpc":70},49757,"pgim-director-investment-risk-pgim-inc","PGIM - Director, Investment Risk",{"name":199,"slug":200,"logo_url":10},"PGIM, Inc.","pgim-inc",[202],"Newark",[18],"hybrid",170000,180000,[25],{"sql":30,"excel":30,"python":30,"data analysis":30,"modeling tools":28},[116,32,86,122,210],"Modeling Tools",{"due diligence":30,"risk budgeting":30,"asset allocation":30,"client onboarding":28,"risk optimization":30,"scenario analysis":30,"portfolio analytics":30,"presentation skills":30,"fixed income markets":30,"portfolio construction":30,"performance attribution":30,"client guidelines review":30,"investment risk management":30},[213,214,215,216,217,218,219,220,221,222,223,224,225],"Investment Risk Management","Portfolio Analytics","Portfolio Construction","Risk Budgeting","Performance Attribution","Scenario Analysis","Asset Allocation","Risk Optimization","Fixed Income Markets","Client Guidelines Review","Due Diligence","Client Onboarding","Presentation Skills",{"id":227,"slug":228,"title":229,"raw_title":10,"is_featured":11,"company":230,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":233,"processed_country_iso_code_gmaps":234,"processed_home_office":19,"processed_salary_min":235,"processed_salary_max":236,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":237,"processed_employment_types":26,"processed_it_skills":238,"processed_it_skills_labels":239,"processed_job_expertise_skills":246,"processed_job_expertise_skills_labels":247,"max_cpc":69,"actual_cpc":70},60104,"senior-software-engineer-ny-office-lseg","Senior Software Engineer - NY Office",{"name":231,"slug":232,"logo_url":10},"LSEG","lseg",[109],[18],129700,216100,[25],{"ai":28,"c#":30,"go":28,"aws":30,"c++":30,".net":28,"java":30,"azure":30,"ci\u002Fcd":30,"react":28,"python":30,"angular":28,"automation":30,"unit testing":30},[179,32,180,181,240,143,241,242,182,243,244,148,147,245],"Go","Angular","React","Unit Testing","Automation","AI",{"financial services":28,"big tech experience":28,"software engineering":30,"technical leadership":28},[248,249,186,250],"Financial Services","Big Tech Experience","Technical Leadership",{"id":252,"slug":253,"title":254,"raw_title":10,"is_featured":11,"company":255,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":258,"processed_country_iso_code_gmaps":260,"processed_home_office":204,"processed_salary_min":261,"processed_salary_max":262,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":263,"processed_employment_types":26,"processed_it_skills":264,"processed_it_skills_labels":265,"processed_job_expertise_skills":278,"processed_job_expertise_skills_labels":279,"max_cpc":69,"actual_cpc":70},58526,"data-quality-engineer-merastar-insurance-company","Data Quality Engineer",{"name":256,"slug":257,"logo_url":10},"Merastar Insurance Company","merastar-insurance-company",[259],"Chicago",[18],99000,164800,[25],{"aws":28,"dbt":29,"git":29,"sql":30,"iics":30,"ci\u002Fcd":29,"kafka":29,"spark":29,"oracle":28,"python":30,"airflow":29,"power bi":28,"snowflake":30,"powershell":29,"informatica":30,"infrastructure as code":29},[86,266,267,268,32,269,148,270,271,182,272,273,274,275,276,277],"Informatica","IICS","Snowflake","Oracle","Power BI","Git","PowerShell","Spark","Kafka","Airflow","DBT","Infrastructure as Code",{"devops":29,"dataops":29,"compliance":28,"data testing":30,"data modeling":28,"data security":28,"data profiling":30,"data vault 2.0":29,"data governance":28,"data validation":30,"etl\u002Felt testing":30,"machine learning":29,"data reconciliation":30,"test data management":28,"data quality assurance":30,"ai-assisted development":29,"test environment strategy":28},[280,281,282,283,284,285,286,287,288,289,290,291,292,293,294,295,91],"Data Testing","Data Validation","Data Quality Assurance","ETL\u002FELT Testing","Data Reconciliation","Data Profiling","Data Modeling","Data Governance","Data Security","Compliance","Test Environment Strategy","Test Data Management","Data Vault 2.0","DataOps","DevOps","AI-assisted Development",{"id":297,"slug":298,"title":299,"raw_title":10,"is_featured":11,"company":300,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":301,"processed_country_iso_code_gmaps":302,"processed_home_office":204,"processed_salary_min":138,"processed_salary_max":303,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":304,"processed_employment_types":26,"processed_it_skills":305,"processed_it_skills_labels":306,"processed_job_expertise_skills":313,"processed_job_expertise_skills_labels":314,"max_cpc":69,"actual_cpc":70},83795,"staff-engineer-ivr-government-employees-insurance-company","Staff Engineer - IVR",{"name":133,"slug":134,"logo_url":10},[136],[18],230000,[25],{"aws":28,"c++":28,"gcp":28,"sql":28,"java":28,"azure":28,"nosql":28,"docker":28,"python":30,"pytorch":28,"rest apis":28,"kubernetes":28,"powershell":29,"tensorflow":28,"microservices":28,"continuous delivery":28,"infrastructure as code":28,"application monitoring tools":28},[32,86,144,145,146,147,307,308,179,180,272,309,310,148,149,277,311,312],"TensorFlow","PyTorch","REST APIs","Microservices","Continuous Delivery","Application Monitoring Tools",{"ivr systems":28,"system design":30,"cloud computing":30,"speech recognition":28,"distributed systems":30,"multi-agent systems":28,"software architecture":30,"ai\u002Fml model deployment":30,"intelligent automation":28,"recommendation systems":28,"natural language processing":28,"software development life cycle":30},[315,316,317,318,319,96,320,321,322,323,324,325],"AI\u002FML model deployment","Distributed systems","Software architecture","System design","Cloud computing","Speech recognition","Recommendation systems","Intelligent automation","Multi-agent systems","IVR systems","Software development life cycle",{"id":327,"slug":328,"title":329,"raw_title":10,"is_featured":11,"company":330,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":333,"processed_country_iso_code_gmaps":335,"processed_home_office":19,"processed_salary_min":111,"processed_salary_max":80,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":336,"processed_employment_types":26,"processed_it_skills":337,"processed_it_skills_labels":338,"processed_job_expertise_skills":340,"processed_job_expertise_skills_labels":341,"max_cpc":69,"actual_cpc":70},53330,"portfolio-management-analystassociate-apollo-management-holdings-lp","Portfolio Management Analyst\u002FAssociate",{"name":331,"slug":332,"logo_url":10},"Apollo Management Holdings, L.P.","apollo-management-holdings-lp",[334],"El Segundo",[18],[25],{"sql":29,"excel":30,"python":28,"ai tools":30},[32,86,116,339],"AI tools",{"data synthesis":28,"risk analytics":30,"factor modeling":28,"asset allocation":28,"cash flow modeling":28,"financial modeling":30,"portfolio management":30,"performance attribution":28,"investment thesis development":28},[342,343,344,345,346,347,348,349,350],"Financial modeling","Portfolio management","Risk analytics","Factor modeling","Performance attribution","Asset allocation","Cash flow modeling","Investment thesis development","Data synthesis",{"id":352,"slug":353,"title":354,"raw_title":10,"is_featured":11,"company":355,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":356,"processed_country_iso_code_gmaps":358,"processed_home_office":204,"processed_salary_min":359,"processed_salary_max":303,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":360,"processed_employment_types":26,"processed_it_skills":361,"processed_it_skills_labels":362,"processed_job_expertise_skills":377,"processed_job_expertise_skills_labels":378,"max_cpc":69,"actual_cpc":70},83670,"staff-engineer-applied-ai-government-employees-insurance-company-2","Staff Engineer - Applied AI",{"name":133,"slug":134,"logo_url":10},[357],"Bethesda",[18],110000,[25],{"java":28,"llms":30,"python":28,"embabel":29,"spring ai":29,"langchain4j":29,"generative ai":30,"service design":30,"knowledge graphs":30,"vector databases":30,"agent architectures":30,"distributed systems":30,"workflow orchestration":30,"reliability engineering":30,"performance optimization":30,"retrieval-augmented generation":30},[32,179,363,364,365,366,367,368,369,370,371,372,373,374,375,376],"Spring AI","LangChain4j","Embabel","Vector Databases","Knowledge Graphs","LLMs","Generative AI","Agent Architectures","Workflow Orchestration","Retrieval-Augmented Generation","Distributed Systems","Service Design","Performance Optimization","Reliability Engineering",{"ontology design":28,"ai safety practices":28,"software engineering":30,"document intelligence":28,"evaluation frameworks":28,"regulatory compliance":28,"applied machine learning":30,"fraud or anomaly modeling":28},[379,186,380,381,382,383,384,385],"Applied Machine Learning","AI Safety Practices","Evaluation Frameworks","Regulatory Compliance","Document Intelligence","Fraud or Anomaly Modeling","Ontology Design",{"id":387,"slug":388,"title":389,"raw_title":10,"is_featured":11,"company":390,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":393,"processed_country_iso_code_gmaps":395,"processed_home_office":19,"processed_salary_min":396,"processed_salary_max":303,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":397,"processed_employment_types":26,"processed_it_skills":398,"processed_it_skills_labels":399,"processed_job_expertise_skills":428,"processed_job_expertise_skills_labels":429,"max_cpc":69,"actual_cpc":70},67514,"sr-software-engineer-020-travelers-indemnity-co","Sr Software Engineer",{"name":391,"slug":392,"logo_url":10},"Travelers Indemnity Co","travelers-indemnity-co",[394],"Hartford",[18],139400,[25],{"aws":30,"db2":28,"git":30,"moq":28,"jest":28,"jira":28,"rest":30,"azure":28,"kafka":28,"mysql":28,"nunit":28,"rally":28,"xunit":28,"github":30,"python":30,"aws cdk":28,"cypress":28,"graphql":28,"mongodb":28,"node.js":28,"dynamodb":28,"react.js":28,"dynatrace":28,"elk stack":28,"oauth 2.0":28,"terraform":28,"javascript":30,"postgresql":28,"typescript":30,"azure devops":28,"opentelemetry":28,"openid connect":28,"cloudbees jenkins":28,"jenkins open source":28},[148,147,400,401,34,402,403,404,405,406,32,274,407,408,409,410,411,412,413,414,415,416,271,417,418,419,420,421,422,423,424,425,426,427],"REST","GraphQL","AWS CDK","React.js","Node.js","JavaScript","TypeScript","DB2","MySQL","PostgreSQL","MongoDB","DynamoDB","NUnit","XUnit","Moq","Jest","Cypress","GitHub","CloudBees Jenkins","Jenkins Open Source","Azure DevOps","OAuth 2.0","OpenID Connect","Dynatrace","ELK stack","OpenTelemetry","Jira","Rally",{"mentoring":30,"agile\u002Fscrum":28,"system design":30,"project management":28,"software engineering":30,"technical leadership":30},[186,430,431,250,432,433],"System Design","Agile\u002FScrum","Mentoring","Project Management",{"id":435,"slug":436,"title":437,"raw_title":10,"is_featured":11,"company":438,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":439,"processed_country_iso_code_gmaps":440,"processed_home_office":19,"processed_salary_min":174,"processed_salary_max":206,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":441,"processed_employment_types":26,"processed_it_skills":442,"processed_it_skills_labels":443,"processed_job_expertise_skills":445,"processed_job_expertise_skills_labels":446,"max_cpc":69,"actual_cpc":70},59602,"ftse-senior-engineering-amp-architecture-opportunities-london-stock-exchange-group-holdings-inc","FTSE Senior Engineering & Architecture Opportunities",{"name":168,"slug":169,"logo_url":10},[171],[18],[25],{"c#":30,"aws":30,"c++":30,"java":30,"azure":28,"ci\u002Fcd":30,"python":30,"testing":30,"automation":30,"ai-assisted development tooling":30},[179,32,180,181,148,147,182,244,444,183],"Testing",{"data engineering":30,"devops & automation":30,"software engineering":30,"ai & machine learning":30,"analytics & data platforms":30,"cloud & platform engineering":30,"site reliability engineering":30,"architecture & distributed systems":30},[186,187,188,189,190,191,192,193],{"id":448,"slug":449,"title":450,"raw_title":10,"is_featured":11,"company":451,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":454,"processed_country_iso_code_gmaps":455,"processed_home_office":19,"processed_salary_min":173,"processed_salary_max":174,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":456,"processed_employment_types":26,"processed_it_skills":457,"processed_it_skills_labels":458,"processed_job_expertise_skills":463,"processed_job_expertise_skills_labels":464,"max_cpc":69,"actual_cpc":70},68413,"credit-portfolio-analyst-ii-western-alliance-bank","Credit Portfolio Analyst II",{"name":452,"slug":453,"logo_url":10},"Western Alliance Bank","western-alliance-bank",[],[18],[25],{"api":28,"sql":30,"python":30,"ms excel":28,"databricks":28,"microsoft fabric":28},[32,86,459,460,461,462],"MS Excel","Databricks","Microsoft Fabric","API",{"data analytics":30,"risk management":28,"banking operations":28,"project management":28,"application testing":28,"data transformation":30,"reporting dashboards":28,"regulatory compliance":28,"data quality validation":30},[465,466,467,468,469,382,433,470,471],"Data Analytics","Data Transformation","Data Quality Validation","Application Testing","Banking Operations","Reporting Dashboards","Risk Management",{"id":473,"slug":474,"title":475,"raw_title":10,"is_featured":11,"company":476,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":479,"processed_country_iso_code_gmaps":480,"processed_home_office":19,"processed_salary_min":359,"processed_salary_max":20,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":481,"processed_employment_types":26,"processed_it_skills":482,"processed_it_skills_labels":483,"processed_job_expertise_skills":491,"processed_job_expertise_skills_labels":492,"max_cpc":69,"actual_cpc":70},48966,"multi-asset-amp-alternatives-risk-associate-ms-investment-mgmt-inc","Multi-Asset & Alternatives Risk Associate",{"name":477,"slug":478,"logo_url":10},"MS Investment Mgmt., Inc.","ms-investment-mgmt-inc",[109],[18],[25],{"r":28,"sql":28,"python":28,"aladdin":30,"fis apt":30,"bloomberg":30,"microsoft word":28,"microsoft excel":30,"microsoft powerpoint":28,"barra portfolio manager":30},[484,485,486,86,32,85,487,488,489,490],"Microsoft Excel","Microsoft PowerPoint","Microsoft Word","Aladdin","FIS APT","Barra Portfolio Manager","Bloomberg",{"data analysis":30,"stress testing":30,"quality control":28,"risk management":30,"esg risk metrics":28,"multi-asset strategies":30,"alternatives strategies":30,"climate scenario analysis":28},[471,493,494,122,495,496,497,498],"Multi-Asset Strategies","Alternatives Strategies","Stress Testing","ESG Risk Metrics","Climate Scenario Analysis","Quality Control",{"id":500,"slug":501,"title":502,"raw_title":10,"is_featured":11,"company":503,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":504,"processed_country_iso_code_gmaps":505,"processed_home_office":19,"processed_salary_min":506,"processed_salary_max":507,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":508,"processed_employment_types":26,"processed_it_skills":509,"processed_it_skills_labels":510,"processed_job_expertise_skills":515,"processed_job_expertise_skills_labels":516,"max_cpc":69,"actual_cpc":70},67506,"software-engineer-ii-ai-python-typescript-020-travelers-indemnity-co","Software Engineer II (AI, Python, Typescript)",{"name":391,"slug":392,"logo_url":10},[394],[18],120400,198700,[25],{"aws":30,"db2":28,"git":30,"mcp":28,"moq":28,"jest":28,"jira":28,"rest":30,"azure":28,"kafka":28,"mysql":28,"nunit":28,"rally":28,"xunit":28,"github":30,"openai":28,"python":30,"aws cdk":28,"cypress":28,"graphql":28,"jenkins":28,"mongodb":28,"node.js":28,"dynamodb":28,"react.js":28,"anthropic":28,"dynatrace":28,"elk stack":28,"oauth 2.0":28,"terraform":28,"javascript":30,"postgresql":28,"typescript":30,"azure devops":28,"opentelemetry":28,"openid connect":28},[32,406,405,148,147,400,401,34,402,403,404,274,407,408,409,410,411,511,512,513,271,417,514,420,421,422,423,424,425,426,427,412,413,414,415,416],"OpenAI","Anthropic","MCP","Jenkins",{"ci\u002Fcd":28,"delivery":28,"agile\u002Fscrum":28,"ai enablement":28,"agentic design":28,"api development":30,"cloud computing":30,"domain expertise":28,"eventing systems":28,"automated testing":28,"document databases":28,"prompt engineering":28,"relational databases":28,"software engineering":30,"infrastructure as code":28},[186,517,518,277,519,520,521,522,523,524,525,182,431,526,527],"Cloud Computing","API Development","Eventing Systems","Relational Databases","Document Databases","AI Enablement","Agentic Design","Prompt Engineering","Automated Testing","Delivery","Domain Expertise",{"id":529,"slug":530,"title":531,"raw_title":10,"is_featured":11,"company":532,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":535,"processed_country_iso_code_gmaps":537,"processed_home_office":204,"processed_salary_min":538,"processed_salary_max":539,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":540,"processed_employment_types":26,"processed_it_skills":541,"processed_it_skills_labels":542,"processed_job_expertise_skills":545,"processed_job_expertise_skills_labels":546,"max_cpc":69,"actual_cpc":70},60675,"credit-risk-model-development-quantitative-analyst-ii-consumer-portfolio-hybrid-see-job-description-for-potential-work-locations-001-manufacturers-and-traders-trust-co","Credit Risk Model Development Quantitative Analyst II - Consumer Portfolio (Hybrid - see job description for potential work locations)",{"name":533,"slug":534,"logo_url":10},"Manufacturers and Traders Trust Co","manufacturers-and-traders-trust-co",[536],"Buffalo",[18],71600,119300,[25],{"r":28,"sas":28,"sql":28,"stata":28,"python":30},[32,86,543,544,85],"SAS","Stata",{"data analysis":30,"capital planning":28,"linear regression":30,"financial analysis":28,"logistic regression":30,"econometric modeling":30,"time series analysis":30,"model risk management":28,"balance sheet management":28},[547,548,549,550,551,122,552,553,554],"Econometric Modeling","Logistic Regression","Linear Regression","Time Series Analysis","Model Risk Management","Financial Analysis","Balance Sheet Management","Capital Planning",{"id":556,"slug":557,"title":558,"raw_title":10,"is_featured":11,"company":559,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":560,"processed_country_iso_code_gmaps":561,"processed_home_office":19,"processed_salary_min":359,"processed_salary_max":562,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":563,"processed_employment_types":26,"processed_it_skills":564,"processed_it_skills_labels":565,"processed_job_expertise_skills":566,"processed_job_expertise_skills_labels":567,"max_cpc":69,"actual_cpc":70},48927,"alternatives-risk-management-senior-associate-ms-investment-mgmt-inc","Alternatives Risk Management, Senior Associate",{"name":477,"slug":478,"logo_url":10},[109],[18],130000,[25],{"r":28,"sql":28,"python":28,"aladdin":30,"fis apt":28,"bloomberg":28,"microsoft word":29,"microsoft excel":28,"microsoft powerpoint":29,"barra portfolio manager":28},[484,485,486,86,32,85,487,488,489,490],{"derivatives":28,"data analysis":30,"stress testing":28,"risk management":30,"esg risk metrics":28,"financial analysis":30,"hedge fund markets":28,"portfolio management":28,"multi-asset strategies":28,"alternatives strategies":28,"climate scenario analysis":28},[471,122,552,568,495,496,497,569,570,493,494],"Portfolio Management","Derivatives","Hedge Fund Markets",{"id":572,"slug":573,"title":574,"raw_title":10,"is_featured":11,"company":575,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":578,"processed_country_iso_code_gmaps":579,"processed_home_office":204,"processed_salary_min":562,"processed_salary_max":580,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":581,"processed_employment_types":26,"processed_it_skills":582,"processed_it_skills_labels":583,"processed_job_expertise_skills":587,"processed_job_expertise_skills_labels":588,"max_cpc":69,"actual_cpc":70},69840,"regulatory-reporting-manager-bbva-red-exterior-de-oficinas","Regulatory Reporting Manager",{"name":576,"slug":577,"logo_url":10},"BBVA RED EXTERIOR DE OFICINAS","bbva-red-exterior-de-oficinas",[109],[18],140000,[25],{"sql":28,"python":29,"tableau":29,"reg-reporter":29,"microsoft excel":30,"microsoft access":28},[484,584,86,32,585,586],"Microsoft Access","Tableau","Reg-Reporter",{"u.s. gaap":30,"accounting":30,"automation":29,"data controls":28,"data governance":29,"data validation":28,"regulatory audits":28,"data reconciliation":28,"financial reporting":30,"process improvement":28,"regulatory reporting":30,"financial instruments":30},[589,590,591,592,593,284,281,594,595,160,244,287],"Regulatory Reporting","Financial Reporting","Accounting","U.S. GAAP","Financial Instruments","Data Controls","Regulatory Audits",{"id":597,"slug":598,"title":599,"raw_title":10,"is_featured":11,"company":600,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":603,"processed_country_iso_code_gmaps":604,"processed_home_office":204,"processed_salary_min":605,"processed_salary_max":606,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":607,"processed_employment_types":26,"processed_it_skills":608,"processed_it_skills_labels":609,"processed_job_expertise_skills":618,"processed_job_expertise_skills_labels":619,"max_cpc":69,"actual_cpc":70},49429,"sql-server-database-senior-developer-vice-president-mufg-bank-ltd","SQL Server Database Senior Developer, Vice President",{"name":601,"slug":602,"logo_url":10},"MUFG Bank, Ltd.","mufg-bank-ltd",[109],[18],147000,205000,[25],{"c#":28,".net":28,"java":28,"jira":28,"python":28,"confluence":28,"sql server":30,"sql profiler":28,"query optimization":30,"execution plan analysis":30,"index design and tuning":30,"stored procedure optimization":30},[610,611,612,613,614,615,181,143,179,32,616,617],"SQL Server","Query Optimization","Execution Plan Analysis","Index Design and Tuning","Stored Procedure Optimization","SQL Profiler","JIRA","Confluence",{"code review":30,"batch processing":30,"agile development":28,"production support":30,"quality engineering":28,"information security":28,"enterprise architecture":28,"database performance tuning":30,"large-scale data environments":30,"financial services security controls":28},[620,621,622,623,624,625,626,627,628,629],"Database Performance Tuning","Code Review","Large-Scale Data Environments","Batch Processing","Production Support","Enterprise Architecture","Information Security","Quality Engineering","Agile Development","Financial Services Security Controls",{"image_path":631,"content_de":632,"content_en":645,"composite_key":658,"last_updated":659},"\u002Fimages\u002Fskill\u002Fpython.webp",{"tab1":633,"tab2":636,"tab3":639,"tab4":642},{"title":634,"content":635},"Bedeutung & Relevanz","Die Bedeutung von [Python](\u002Fjobs-by-skill\u002Fpython) in den [Vereinigten Staaten](\u002Fsearch) ist enorm, insbesondere in der Finanzbranche. Als vielseitige Programmiersprache wird Python für [Datenanalyse](\u002Fjobs-by-expertise\u002Fdata-analysis), [Finanzmodellierung](\u002Fjobs-by-expertise\u002Ffinancial-modeling) und die Entwicklung von [KI-Tools](\u002Fjobs-by-skill\u002Fai-tools) eingesetzt. In [Newport Beach](\u002Fjobs-in-newport-beach) und [New York](\u002Fjobs-in-new-york) ist Python aufgrund seiner Effizienz bei der Automatisierung von Prozessen und der Handhabung großer Datenmengen unverzichtbar. Unternehmen wie [Pacific Investment Mgt Co. LLC](\u002Fcompany\u002Fpacific-investment-mgt-co-llc) nutzen Python für [Risikomanagement](\u002Fjobs-by-expertise\u002Frisk-management) und [Portfoliokonstruktion](\u002Fjobs-by-expertise\u002Fportfolio-construction), was die strategische Relevanz in der [Finanzbranche](\u002Fjobs-by-industry\u002Ffinance) unterstreicht. Die Nachfrage nach Python-Kenntnissen wächst stetig, da sie die Grundlage für Innovationen in [globalem Asset-Management](\u002Fjobs-by-industry\u002Fglobal-asset-management) und [Investment-Management](\u002Fjobs-by-industry\u002Finvestment-management) bildet.",{"title":637,"content":638},"Top-Branchen & Standorte","In den [Vereinigten Staaten](\u002Fsearch) ist [Python](\u002Fjobs-by-skill\u002Fpython) besonders in [Finanzbranchen](\u002Fjobs-by-industry\u002Ffinance) wie [globalem Asset-Management](\u002Fjobs-by-industry\u002Fglobal-asset-management), [Investment-Management](\u002Fjobs-by-industry\u002Finvestment-management) und [Finance and Investment](\u002Fjobs-by-industry\u002Ffinance-and-investment) gefragt. Top-Standorte mit hohem Bedarf sind [Newport Beach](\u002Fjobs-in-newport-beach) und [New York](\u002Fjobs-in-new-york), wo Unternehmen auf Python für [Datenanalyse](\u002Fjobs-by-expertise\u002Fdata-analysis) und [automatisierte Handelssysteme](\u002Fjobs-by-expertise\u002Fautomation-process-enhancement) setzen. Diese Orte sind Zentren für [Asset-Management](\u002Fjobs-by-industry\u002Fasset-management), was Python zu einer Schlüsselkompetenz für Jobs in [Banking](\u002Fjobs-by-industry\u002Fbanking) und [Fintech](\u002Fjobs-by-industry\u002Ffintech) macht. Die Kombination aus diesen Branchen und Standorten treibt die Nachfrage nach Python-Experten voran, die komplexe [Finanzmodelle](\u002Fjobs-by-expertise\u002Ffinancial-modeling) entwickeln und optimieren.",{"title":640,"content":641},"Gefragte Skills & Arbeitgeber","Führende Arbeitgeber in den [Vereinigten Staaten](\u002Fsearch) 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) suchen nach [Python](\u002Fjobs-by-skill\u002Fpython)-Experten mit Kenntnissen in [Risikomanagement](\u002Fjobs-by-expertise\u002Frisk-management), [Fixed Income](\u002Fjobs-by-expertise\u002Ffixed-income-products) und [Portfoliokonstruktion](\u002Fjobs-by-expertise\u002Fportfolio-construction). Gefragte verwandte Expertisen umfassen [Datenanalyse](\u002Fjobs-by-expertise\u002Fdata-analysis), [Finanzmodellierung](\u002Fjobs-by-expertise\u002Ffinancial-modeling) und [Prozessverbesserung](\u002Fjobs-by-expertise\u002Fprocess-improvement). Diese Unternehmen setzen Python für [Optimierungstechniken](\u002Fjobs-by-expertise\u002Foptimization-techniques) und [quantitative Forschung](\u002Fjobs-by-expertise\u002Fquantitative-research) ein, um [Risikokontrolle](\u002Fjobs-by-expertise\u002Frisk-control) und [Performance-Management](\u002Fjobs-by-expertise\u002Fperformance-management) zu verbessern. In [New York](\u002Fjobs-in-new-york) und [Newport Beach](\u002Fjobs-in-newport-beach) ist Python essenziell für die Entwicklung von [Handelssystemen](\u002Fjobs-by-expertise\u002Ffixed-income-trading-systems) und [Datenpipelines](\u002Fjobs-by-expertise\u002Fdata-integration).",{"title":643,"content":644},"Karriere & Entwicklung","Karrierewege mit [Python](\u002Fjobs-by-skill\u002Fpython) in den [Vereinigten Staaten](\u002Fsearch) reichen von [Datenanalysten](\u002Fjobs-by-expertise\u002Fdata-analysis) bis zu [Softwareentwicklern](\u002Fjobs-by-expertise\u002Fapplication-development) in [Finanzdienstleistungen](\u002Fjobs-by-industry\u002Ffinancial-services). Um Python zu erlernen, empfehlen sich Online-Kurse, Zertifizierungen und praktische Projekte in verwandten Bereichen wie [SQL](\u002Fjobs-by-skill\u002Fsql), [AWS](\u002Fjobs-by-skill\u002Faws) und [Cloud Computing](\u002Fjobs-by-skill\u002Fcloud-computing). Top-verwandte IT-Skills include [Excel](\u002Fjobs-by-skill\u002Fms-excel) für [Finanzanalyse](\u002Fjobs-by-expertise\u002Ffinancial-analysis) und [Java](\u002Fjobs-by-skill\u002Fjava) für Systemintegration. Entwicklungsmöglichkeiten bestehen in [Investment-Management](\u002Fjobs-by-industry\u002Finvestment-management) durch den Erwerb von Kenntnissen in [statistischen Techniken](\u002Fjobs-by-expertise\u002Fstatistical-techniques) und [Machine Learning](\u002Fjobs-by-skill\u002Fmachine-learning). In Städten wie [New York](\u002Fjobs-in-new-york) bieten Arbeitgeber Trainings für [automatisierte Testing](\u002Fjobs-by-skill\u002Fautomated-testing-frameworks) und [CI\u002FCD-Pipelines](\u002Fjobs-by-skill\u002Fcicd), um Karrieren in [Fintech](\u002Fjobs-by-industry\u002Ffintech) voranzutreiben.",{"tab1":646,"tab2":649,"tab3":652,"tab4":655},{"title":647,"content":648},"Strategic Importance","Python is a critical programming skill in the [Vereinigte Staaten](\u002Fsearch) financial sector, driving innovation and efficiency across various domains. Its versatility in data analysis, automation, and quantitative modeling makes it indispensable for roles in [Asset Management](\u002Fjobs-by-industry\u002Fasset-management), [Investment Management](\u002Fjobs-by-industry\u002Finvestment-management), and [Finance](\u002Fjobs-by-industry\u002Ffinance). In the U.S., Python is widely used for developing algorithmic trading systems, risk management tools, and financial models, enabling professionals to handle large datasets and complex calculations with ease. The language's extensive libraries, such as Pandas and NumPy, support advanced analytics and machine learning applications, which are essential for optimizing investment strategies and enhancing decision-making processes. As the demand for data-driven insights grows, Python's role in the financial industry continues to expand, making it a key skill for career advancement and organizational success.",{"title":650,"content":651},"Top Industries & Locations","In the [Vereinigte Staaten](\u002Fsearch), Python is highly sought after in top industries like [Finance](\u002Fjobs-by-industry\u002Ffinance), [Global Asset Management](\u002Fjobs-by-industry\u002Fglobal-asset-management), and [Investment Management](\u002Fjobs-by-industry\u002Finvestment-management). Key locations with high demand include [Newport Beach](\u002Fjobs-in-newport-beach) and [New York](\u002Fjobs-in-new-york), where financial hubs thrive. These areas host numerous firms leveraging Python for quantitative analysis, portfolio optimization, and fintech innovations. The skill is also prevalent in [Banking](\u002Fjobs-by-industry\u002Fbanking) and [Financial Services](\u002Fjobs-by-industry\u002Ffinancial-services) sectors, supporting everything from risk assessment to automated trading systems. With the rise of digital transformation, Python's application extends to [Fintech](\u002Fjobs-by-industry\u002Ffintech) startups and established institutions, making it a cornerstone of modern financial operations in urban centers across the country.",{"title":653,"content":654},"In-Demand Skills & Employers","Top companies like Pacific Investment Mgt Co. LLC and PGA Global Services LLC, UK Branch in the [Vereinigte Staaten](\u002Fsearch) seek professionals with Python expertise for roles involving [Risk Management](\u002Fjobs-by-expertise\u002Frisk-management), [Financial Modeling](\u002Fjobs-by-expertise\u002Ffinancial-modeling), and [Data Analysis](\u002Fjobs-by-expertise\u002Fdata-analysis). Related expertises in demand include [Portfolio Construction](\u002Fjobs-by-expertise\u002Fportfolio-construction), [Fixed Income](\u002Fjobs-by-expertise\u002Ffixed-income), and [Quantitative Research](\u002Fjobs-by-expertise\u002Fquantitative-research), where Python is used for developing trading systems and analytics platforms. Employers value Python for its ability to handle [Optimization Techniques](\u002Fjobs-by-expertise\u002Foptimization-techniques) and support [Automation](\u002Fjobs-by-expertise\u002Fautomation) in financial processes. This skill is crucial for enhancing [Performance Measurement Methodologies](\u002Fjobs-by-expertise\u002Fperformance-measurement-methodologies) and driving innovation in [Investment Management](\u002Fjobs-by-expertise\u002Finvestment-management), making it a key requirement for competitive roles in the U.S. financial sector.",{"title":656,"content":657},"Career & Development","A career with Python in the [Vereinigte Staaten](\u002Fsearch) financial industry often starts with roles in data analysis, quantitative research, or software development, leading to positions like financial analyst, data scientist, or portfolio manager. To learn Python, pursue online courses, certifications, or degrees in computer science or finance, and practice with real-world projects involving [SQL](\u002Fjobs-by-skill\u002Fsql), [AWS](\u002Fjobs-by-skill\u002Faws), and [Machine Learning](\u002Fjobs-by-skill\u002Fmachine-learning). Complement Python with skills in [Excel](\u002Fjobs-by-skill\u002Fexcel), [Java](\u002Fjobs-by-skill\u002Fjava), and [Cloud Computing](\u002Fjobs-by-skill\u002Fcloud-computing) to enhance employability. Focus on developing expertise in [Financial Analysis](\u002Fjobs-by-expertise\u002Ffinancial-analysis) and [Process Improvement](\u002Fjobs-by-expertise\u002Fprocess-improvement) to advance in fields like [Asset Management](\u002Fjobs-by-expertise\u002Fasset-management) and [Investment Banking](\u002Fjobs-by-expertise\u002Finvestment-banking). Continuous learning and staying updated with industry trends are key to long-term success and growth in this dynamic field.","skill:python:us","2026-08-17T09:01:42.481430+02:00",{"industry":661,"employment_type":741,"expertise_skills":756,"it_skills":826,"salary_currency":899,"processed_working_hours":906},[662,665,669,673,677,681,685,689,693,696,700,703,706,709,712,715,718,721,724,727,730,733,736,739],{"key":663,"label":248,"count":664},"financial services",253,{"key":666,"label":667,"count":668},"insurance","Insurance",209,{"key":670,"label":671,"count":672},"banking","Banking",102,{"key":674,"label":675,"count":676},"financial markets infrastructure","Financial Markets Infrastructure",43,{"key":678,"label":679,"count":680},"asset management","Asset Management",37,{"key":682,"label":683,"count":684},"data","Data",28,{"key":686,"label":687,"count":688},"data provider","Data Provider",15,{"key":690,"label":691,"count":692},"property","Property",12,{"key":694,"label":695,"count":692},"casualty insurance","Casualty Insurance",{"key":697,"label":698,"count":699},"alternative investments","Alternative Investments",9,{"key":701,"label":471,"count":702},"risk management",6,{"key":704,"label":705,"count":30},"reinsurance","Reinsurance",{"key":707,"label":708,"count":28},"financial markets data","Financial Markets Data",{"key":710,"label":711,"count":28},"infrastructure","Infrastructure",{"key":713,"label":714,"count":28},"credit union","Credit Union",{"key":716,"label":717,"count":29},"alternative asset management","Alternative Asset Management",{"key":719,"label":720,"count":29},"financial technology","Financial Technology",{"key":722,"label":723,"count":69},"financial regulation","Financial Regulation",{"key":725,"label":726,"count":69},"digital banking","Digital Banking",{"key":728,"label":729,"count":69},"financial market infrastructure","Financial Market Infrastructure",{"key":731,"label":732,"count":69},"data services","Data Services",{"key":734,"label":735,"count":69},"claims administration","Claims Administration",{"key":737,"label":738,"count":69},"employee benefits brokerage","Employee Benefits Brokerage",{"key":740,"label":121,"count":69},"investment banking",[742,745,749,753],{"key":26,"label":743,"count":744},"PERMANENT",552,{"key":746,"label":747,"count":748},"student","STUDENT",41,{"key":750,"label":751,"count":752},"temporary","TEMPORARY",13,{"key":754,"label":755,"count":69},"contract","CONTRACT",[757,760,763,767,770,773,776,779,782,784,786,790,794,797,799,802,805,808,810,812,815,818,822,824],{"key":758,"label":122,"slug":758,"count":759},"data-analysis",118,{"key":761,"label":471,"slug":761,"count":762},"risk-management",92,{"key":764,"label":765,"slug":764,"count":766},"project-management","Project management",87,{"key":768,"label":382,"slug":768,"count":769},"regulatory-compliance",79,{"key":771,"label":287,"slug":771,"count":772},"data-governance",72,{"key":774,"label":244,"slug":774,"count":775},"automation",50,{"key":777,"label":63,"slug":777,"count":778},"root-cause-analysis",48,{"key":780,"label":187,"slug":780,"count":781},"data-engineering",47,{"key":783,"label":91,"slug":783,"count":676},"machine-learning",{"key":785,"label":186,"slug":785,"count":748},"software-engineering",{"key":787,"label":788,"slug":787,"count":789},"agile-methodologies","Agile Methodologies",40,{"key":791,"label":792,"slug":791,"count":793},"incident-response","Incident Response",35,{"key":795,"label":796,"slug":795,"count":793},"observability","Observability",{"key":798,"label":289,"slug":798,"count":793},"compliance",{"key":800,"label":152,"slug":800,"count":801},"software-development",34,{"key":803,"label":100,"slug":803,"count":804},"data-visualization",33,{"key":806,"label":160,"slug":806,"count":807},"process-improvement",32,{"key":809,"label":568,"slug":809,"count":807},"portfolio-management",{"key":811,"label":286,"slug":811,"count":807},"data-modeling",{"key":813,"label":119,"slug":813,"count":814},"financial-modeling",31,{"key":816,"label":817,"slug":816,"count":814},"vendor-management","Vendor Management",{"key":819,"label":820,"slug":819,"count":821},"incident-management","Incident Management",29,{"key":823,"label":430,"slug":823,"count":684},"system-design",{"key":825,"label":373,"slug":825,"count":684},"distributed-systems",[827,829,832,836,839,842,846,850,853,856,860,863,866,869,872,875,878,880,884,885,889,891,894,896],{"key":828,"label":32,"slug":828,"count":4},"python",{"key":830,"label":86,"slug":830,"count":831},"sql",322,{"key":833,"label":834,"slug":833,"count":835},"aws","Aws",169,{"key":837,"label":459,"slug":837,"count":838},"ms-excel",137,{"key":840,"label":179,"slug":840,"count":841},"java",134,{"key":843,"label":844,"slug":843,"count":845},"ms-azure","MS Azure",133,{"key":847,"label":848,"slug":847,"count":849},"cicd","Ci\u002FCd",111,{"key":851,"label":146,"slug":851,"count":852},"kubernetes",108,{"key":854,"label":85,"slug":854,"count":855},"r",106,{"key":857,"label":858,"slug":857,"count":859},"ms-powerbi","MS PowerBI",94,{"key":861,"label":145,"slug":861,"count":862},"docker",77,{"key":864,"label":865,"slug":864,"count":862},"powershell","Powershell",{"key":867,"label":34,"slug":867,"count":868},"terraform",70,{"key":870,"label":271,"slug":870,"count":871},"git",63,{"key":873,"label":181,"slug":873,"count":874},"c",62,{"key":876,"label":268,"slug":876,"count":877},"snowflake",55,{"key":879,"label":585,"slug":879,"count":877},"tableau",{"key":881,"label":882,"slug":881,"count":883},"gcp","Gcp",51,{"key":873,"label":180,"slug":873,"count":778},{"key":886,"label":887,"slug":886,"count":888},"sas","Sas",46,{"key":890,"label":460,"slug":890,"count":676},"databricks",{"key":892,"label":893,"slug":892,"count":676},"javascript","Javascript",{"key":895,"label":274,"slug":895,"count":748},"kafka",{"key":897,"label":898,"slug":897,"count":748},"bash","Bash",[900,902,904],{"key":22,"label":22,"count":901},603,{"key":175,"label":175,"count":903},5,{"key":905,"label":905,"count":29},"MYR",[907,909],{"key":25,"label":25,"count":908},605,{"key":910,"label":910,"count":903},"PART_TIME",{"total":912,"jobs":913},0,[]]