[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-expertise-reusable-frameworks-global":3,"job-search-\u002Fde\u002Fjobs-by-expertise\u002Freusable-frameworks":4,"expertise-filters-\u002Fde\u002Fjobs-by-expertise\u002Freusable-frameworks":188,"featured-jobs-\u002Fde\u002Fjobs-by-expertise\u002Freusable-frameworks":323},{},{"total":5,"jobs":6},2,[7,96],{"id":8,"slug":9,"title":10,"raw_title":11,"is_featured":12,"company":13,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":16,"processed_country_iso_code_gmaps":18,"processed_home_office":20,"processed_salary_min":21,"processed_salary_max":22,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":25,"processed_employment_types":27,"processed_it_skills":28,"processed_it_skills_labels":30,"processed_job_expertise_skills":62,"processed_job_expertise_skills_labels":63,"max_cpc":95,"actual_cpc":95},83656,"senior-staff-engineer-java-test-engineering-applied-ai-hybrid-government-employees-insurance-company","Senior Staff Engineer - Java \u002F Test Engineering & Applied AI - Hybrid",null,false,{"name":14,"slug":15,"logo_url":11},"Government Employees Insurance Company","government-employees-insurance-company",[17],"Bethesda",[19],"US","hybrid",130000,260000,"USD","estimated",[26],"FULL_TIME","permanent",{"c#":29,"go":29,"aws":29,"gcp":29,"llm":29,"rag":29,"sql":29,"grpc":29,"java":29,"saml":29,"azure":29,"fable":29,"kafka":29,"nosql":29,"oauth":29,"docker":29,"python":29,"graphql":29,"temporal":29,"kubernetes":29,"classical ml":29,"generative ai":29,"observability":29,"synthetic data":29,"active directory":29,"failure clustering":29,"coverage gap analysis":29,"intelligent automation":29,"root-cause suggestions":29,"visual\u002Fregression assist":29,"ai-assisted test generation":29},4,[31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61],"Java","C#","Python","Go","SQL","NoSQL","Docker","Kubernetes","AWS","GCP","Azure","GraphQL","gRPC","Kafka","LLM","Generative AI","Intelligent Automation","RAG","Classical ML","Temporal","Fable","OAuth","SAML","Active Directory","Observability","AI-assisted test generation","Coverage gap analysis","Failure clustering","Root-cause suggestions","Synthetic data","Visual\u002Fregression assist",{"ci gates":29,"security":29,"ai safety":29,"api design":29,"test pyramid":29,"ai evaluation":29,"ai governance":29,"microservices":29,"observability":29,"roadmap planning":29,"test engineering":29,"automated testing":29,"shadow validation":29,"shift-left quality":29,"adoption and buy-in":29,"reusable frameworks":29,"flaky-test reduction":29,"integration patterns":29,"standards definition":29,"technical leadership":29,"technology selection":29,"test data management":29,"ai regression testing":29,"event-driven patterns":29,"software architecture":29,"test ownership models":29,"client-side frameworks":29,"full-stack development":29,"server-side frameworks":29,"prototype to production":29,"system integrator management":29,"production engineering discipline":29},[64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,55,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94],"Software Architecture","Microservices","API Design","Event-driven patterns","Test Engineering","Automated Testing","Test Pyramid","Shift-left quality","CI gates","Flaky-test reduction","Test ownership models","System integrator management","Shadow validation","Test data management","Production engineering discipline","Security","AI governance","AI evaluation","AI regression testing","AI safety","Technical leadership","Roadmap planning","Technology selection","Integration patterns","Reusable frameworks","Standards definition","Adoption and buy-in","Prototype to production","Full-stack development","Client-side frameworks","Server-side frameworks",1,{"id":97,"slug":98,"title":99,"raw_title":11,"is_featured":12,"company":100,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":103,"processed_country_iso_code_gmaps":104,"processed_home_office":20,"processed_salary_min":105,"processed_salary_max":106,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":107,"processed_employment_types":27,"processed_it_skills":108,"processed_it_skills_labels":109,"processed_job_expertise_skills":133,"processed_job_expertise_skills_labels":134,"max_cpc":95,"actual_cpc":187},88128,"avp-data-platform-engineering-hartford-fire-ins-co-2","AVP, Data Platform Engineering",{"name":101,"slug":102,"logo_url":11},"Hartford Fire Ins. Co","hartford-fire-ins-co",[],[],201500,302500,[26],{"api":29,"sql":29,"llms":29,"ci\u002Fcd":29,"spark":29,"python":29,"tableau":29,"dataflow":29,"dataproc":29,"pinecone":29,"postgres":29,"snowflake":29,"vertex ai":29,"opensearch":29,"thoughtspot":29,"google bigquery":29,"graph databases":29,"informatica idmc":29,"knowledge graphs":29,"snowflake cortex":29,"vector databases":29,"prompt engineering":29,"gcp gemini enterprise":29,"infrastructure-as-code":29,"retrieval-augmented generation (rag)":29},[110,111,112,113,114,115,116,117,35,33,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132],"Snowflake","Google BigQuery","Dataproc","Dataflow","Informatica IDMC","Spark","Tableau","ThoughtSpot","LLMs","Prompt Engineering","Retrieval-Augmented Generation (RAG)","Vector Databases","Vertex AI","Postgres","OpenSearch","Pinecone","CI\u002FCD","Infrastructure-as-Code","API","Snowflake Cortex","GCP Gemini Enterprise","Knowledge Graphs","Graph Databases",{"okrs":29,"lineage":29,"privacy":29,"security":29,"automation":29,"compliance":29,"reliability":29,"data quality":29,"cybersecurity":29,"observability":29,"orchestration":29,"vector search":29,"ai integration":29,"chat with data":29,"data analytics":29,"data ingestion":29,"metrics layers":29,"prioritization":29,"transformation":29,"cost management":29,"data governance":29,"risk management":29,"semantic layers":29,"data warehousing":29,"agentic analytics":29,"ai\u002Fml integration":29,"data architecture":29,"semantic modeling":29,"governed analytics":29,"performance tuning":29,"product management":29,"contextual metadata":29,"metadata management":29,"operational support":29,"reusable frameworks":29,"roadmap development":29,"adoption measurement":29,"cloud data platforms":29,"financial management":29,"business intelligence":29,"platform architecture":29,"self-service analytics":29,"stakeholder engagement":29,"dashboard modernization":29,"data consumption models":29,"vendor data integration":29,"business user enablement":29,"conversational analytics":29,"engineering productivity":29,"platform standardization":29,"data platform engineering":29,"external data acquisition":29,"ontology-driven solutions":29,"third-party data strategy":29},[135,136,137,138,139,140,141,142,143,144,55,145,146,147,148,79,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186],"Data Platform Engineering","Data Architecture","Data Analytics","Business Intelligence","Data Warehousing","Cloud Data Platforms","Platform Architecture","Data Ingestion","Orchestration","Transformation","Performance Tuning","Reliability","Automation","Cost Management","Operational Support","Engineering Productivity","Platform Standardization","Reusable Frameworks","Self-Service Analytics","Governed Analytics","Semantic Modeling","Dashboard Modernization","Business User Enablement","AI Integration","Conversational Analytics","Chat with Data","Agentic Analytics","Vector Search","AI\u002FML Integration","Semantic Layers","Metrics Layers","Ontology-Driven Solutions","Contextual Metadata","Third-Party Data Strategy","Vendor Data Integration","External Data Acquisition","Data Consumption Models","Product Management","Roadmap Development","Prioritization","Stakeholder Engagement","OKRs","Financial Management","Adoption Measurement","Data Governance","Cybersecurity","Privacy","Compliance","Data Quality","Lineage","Metadata Management","Risk Management",0.5,{"industry":189,"employment_type":193,"expertise_skills":196,"it_skills":255,"salary_currency":319,"processed_working_hours":321},[190],{"key":191,"label":192,"count":5},"insurance","Insurance",[194],{"key":27,"label":195,"count":5},"PERMANENT",[197,199,201,203,206,209,212,215,218,221,224,226,228,230,232,235,238,241,243,245,247,249,251,253],{"key":198,"label":79,"slug":198,"count":5},"security",{"key":200,"label":152,"slug":200,"count":5},"reusable-frameworks",{"key":202,"label":55,"slug":202,"count":5},"observability",{"key":204,"label":205,"slug":204,"count":95},"ai-evaluation","Ai Evaluation",{"key":207,"label":208,"slug":207,"count":95},"ai-governance","Ai Governance",{"key":210,"label":211,"slug":210,"count":95},"ai-integration","Ai Integration",{"key":213,"label":214,"slug":213,"count":95},"ai-regression-testing","Ai Regression Testing",{"key":216,"label":217,"slug":216,"count":95},"ai-safety","Ai Safety",{"key":219,"label":220,"slug":219,"count":95},"aiml-integration","Ai\u002FMl Integration",{"key":222,"label":223,"slug":222,"count":95},"api-design","Api Design",{"key":225,"label":69,"slug":225,"count":95},"automated-testing",{"key":227,"label":147,"slug":227,"count":95},"automation",{"key":229,"label":138,"slug":229,"count":95},"business-intelligence",{"key":231,"label":157,"slug":231,"count":95},"business-user-enablement",{"key":233,"label":234,"slug":233,"count":95},"chat-with-data","Chat With Data",{"key":236,"label":237,"slug":236,"count":95},"ci-gates","Ci Gates",{"key":239,"label":240,"slug":239,"count":95},"client-side-frameworks","Client-Side Frameworks",{"key":242,"label":140,"slug":242,"count":95},"cloud-data-platforms",{"key":244,"label":182,"slug":244,"count":95},"compliance",{"key":246,"label":167,"slug":246,"count":95},"contextual-metadata",{"key":248,"label":159,"slug":248,"count":95},"conversational-analytics",{"key":250,"label":148,"slug":250,"count":95},"cost-management",{"key":252,"label":180,"slug":252,"count":95},"cybersecurity",{"key":254,"label":156,"slug":254,"count":95},"dashboard-modernization",[256,258,260,263,266,269,271,274,277,280,282,284,286,288,291,294,297,300,302,305,307,310,313,316],{"key":257,"label":35,"slug":257,"count":5},"sql",{"key":259,"label":33,"slug":259,"count":5},"python",{"key":261,"label":262,"slug":261,"count":95},"api","Api",{"key":264,"label":265,"slug":264,"count":95},"aws","Aws",{"key":267,"label":268,"slug":267,"count":95},"ms-azure","MS Azure",{"key":270,"label":32,"slug":270,"count":95},"c",{"key":272,"label":273,"slug":272,"count":95},"cicd","Ci\u002FCd",{"key":275,"label":276,"slug":275,"count":95},"classical-ml","Classical Ml",{"key":278,"label":279,"slug":278,"count":95},"coverage-gap-analysis","Coverage Gap Analysis",{"key":281,"label":113,"slug":281,"count":95},"dataflow",{"key":283,"label":112,"slug":283,"count":95},"dataproc",{"key":285,"label":37,"slug":285,"count":95},"docker",{"key":287,"label":51,"slug":287,"count":95},"fable",{"key":289,"label":290,"slug":289,"count":95},"failure-clustering","Failure Clustering",{"key":292,"label":293,"slug":292,"count":95},"gcp","Gcp",{"key":295,"label":296,"slug":295,"count":95},"gcp-gemini-enterprise","Gcp Gemini Enterprise",{"key":298,"label":299,"slug":298,"count":95},"generative-ai","Generative Ai",{"key":301,"label":34,"slug":301,"count":95},"go",{"key":303,"label":304,"slug":303,"count":95},"google-bigquery","Google Bigquery",{"key":306,"label":132,"slug":306,"count":95},"graph-databases",{"key":308,"label":309,"slug":308,"count":95},"graphql","Graphql",{"key":311,"label":312,"slug":311,"count":95},"grpc","Grpc",{"key":314,"label":315,"slug":314,"count":95},"informatica-idmc","Informatica Idmc",{"key":317,"label":318,"slug":317,"count":95},"infrastructure-as-code","Infrastructure-As-Code",[320],{"key":23,"label":23,"count":5},[322],{"key":26,"label":26,"count":5},{"total":95,"jobs":324},[325],{"id":326,"slug":327,"title":328,"raw_title":11,"is_featured":329,"company":330,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":334,"processed_country_iso_code_gmaps":336,"processed_home_office":338,"processed_salary_min":339,"processed_salary_max":340,"processed_salary_currency":341,"processed_salary_source":11,"processed_working_hours":342,"processed_employment_types":195,"processed_it_skills":344,"processed_it_skills_labels":11,"processed_job_expertise_skills":345,"processed_job_expertise_skills_labels":347,"max_cpc":354,"actual_cpc":11},52265,"privatkundenbetreuer-mwd-banking-frankfurt-am-main-white-horse-international-gmbh","Privatkundenbetreuer (m\u002Fw\u002Fd) – Banking | Frankfurt am Main",true,{"name":331,"slug":332,"logo_url":333},"White Horse International GmbH","white-horse-international-gmbh","https:\u002F\u002Fwhitehorse-international.com\u002Fwp-content\u002Fuploads\u002F2022\u002F03\u002Fwhite-horse-logo-final-gif.gif",[335],"Frankfurt am Main",[337],"DE","HYBRID",45000,65000,"EUR",[343],"full_time",{},{"Financial Analysis":346,"Regulatory Compliance":346,"New Customer Acquisition":346,"Private Banking Advisory":346,"Banking Products Knowledge":346,"Customer Relationship Management":346},3,[348,349,350,351,352,353],"Private Banking Advisory","Financial Analysis","Banking Products Knowledge","Regulatory Compliance","Customer Relationship Management","New Customer Acquisition",0.8]