[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-expertise-data-quality-us":3,"expertise-filters-\u002Fde-us\u002Fjobs-by-expertise\u002Fdata-quality?page=2":8,"job-search-\u002Fde-us\u002Fjobs-by-expertise\u002Fdata-quality?page=2":221,"featured-jobs-\u002Fde-us\u002Fjobs-by-expertise\u002Fdata-quality?page=2":865},{"image_path":4,"content_de":5,"content_en":5,"composite_key":6,"last_updated":7},"\u002Fimages\u002Fexpertise\u002Fdata-quality.webp",null,"expertise:data-quality:us","2026-08-17T09:07:51.754940+02:00",{"industry":9,"employment_type":46,"expertise_skills":54,"it_skills":138,"salary_currency":211,"processed_working_hours":218},[10,14,18,22,26,29,32,36,39,43],{"key":11,"label":12,"count":13},"insurance","Insurance",19,{"key":15,"label":16,"count":17},"financial services","Financial Services",17,{"key":19,"label":20,"count":21},"banking","Banking",4,{"key":23,"label":24,"count":25},"property","Property",3,{"key":27,"label":28,"count":25},"casualty insurance","Casualty Insurance",{"key":30,"label":31,"count":25},"financial markets infrastructure","Financial Markets Infrastructure",{"key":33,"label":34,"count":35},"data","Data",2,{"key":37,"label":38,"count":35},"asset management","Asset Management",{"key":40,"label":41,"count":42},"data provider","Data Provider",1,{"key":44,"label":45,"count":42},"risk management","Risk Management",[47,51],{"key":48,"label":49,"count":50},"permanent","PERMANENT",44,{"key":52,"label":53,"count":35},"student","STUDENT",[55,59,63,67,71,75,79,82,85,89,92,96,100,103,107,110,113,117,120,123,126,129,132,135],{"key":56,"label":57,"slug":56,"count":58},"data-quality","Data Quality",46,{"key":60,"label":61,"slug":60,"count":62},"data-governance","Data Governance",36,{"key":64,"label":65,"slug":64,"count":66},"data-engineering","Data Engineering",16,{"key":68,"label":69,"slug":68,"count":70},"data-analysis","Data Analysis",13,{"key":72,"label":73,"slug":72,"count":74},"data-security","Data Security",12,{"key":76,"label":77,"slug":76,"count":78},"data-lineage","Data Lineage",11,{"key":80,"label":81,"slug":80,"count":78},"metadata-management","Metadata Management",{"key":83,"label":84,"slug":83,"count":78},"data-architecture","Data Architecture",{"key":86,"label":87,"slug":86,"count":88},"project-management","Project management",10,{"key":90,"label":45,"slug":90,"count":91},"risk-management",9,{"key":93,"label":94,"slug":93,"count":95},"data-management","Data Management",8,{"key":97,"label":98,"slug":97,"count":99},"regulatory-compliance","Regulatory Compliance",7,{"key":101,"label":102,"slug":101,"count":99},"process-improvement","Process Improvement",{"key":104,"label":105,"slug":104,"count":106},"data-modeling","Data Modeling",6,{"key":108,"label":109,"slug":108,"count":106},"data-integration","Data Integration",{"key":111,"label":112,"slug":111,"count":106},"compliance","Compliance",{"key":114,"label":115,"slug":114,"count":116},"data-warehousing","Data Warehousing",5,{"key":118,"label":119,"slug":118,"count":116},"automation","Automation",{"key":121,"label":122,"slug":121,"count":116},"portfolio-management","Portfolio Management",{"key":124,"label":125,"slug":124,"count":116},"system-analysis","System Analysis",{"key":127,"label":128,"slug":127,"count":21},"master-data-management","Master Data Management",{"key":130,"label":131,"slug":130,"count":21},"machine-learning","Machine Learning",{"key":133,"label":134,"slug":133,"count":21},"vendor-management","Vendor Management",{"key":136,"label":137,"slug":136,"count":21},"root-cause-analysis","Root Cause Analysis",[139,143,147,151,155,158,161,164,167,170,173,176,179,182,185,188,191,194,197,198,201,204,205,208],{"key":140,"label":141,"slug":140,"count":142},"sql","SQL",30,{"key":144,"label":145,"slug":144,"count":146},"python","Python",28,{"key":148,"label":149,"slug":148,"count":150},"aws","Aws",20,{"key":152,"label":153,"slug":152,"count":154},"snowflake","Snowflake",14,{"key":156,"label":157,"slug":156,"count":78},"databricks","Databricks",{"key":159,"label":160,"slug":159,"count":88},"ms-azure","MS Azure",{"key":162,"label":163,"slug":162,"count":95},"ms-powerbi","MS PowerBI",{"key":165,"label":166,"slug":165,"count":99},"etl","Etl",{"key":168,"label":169,"slug":168,"count":106},"cicd","Ci\u002FCd",{"key":171,"label":172,"slug":171,"count":106},"terraform","Terraform",{"key":174,"label":175,"slug":174,"count":116},"gcp","Gcp",{"key":177,"label":178,"slug":177,"count":116},"pyspark","Pyspark",{"key":180,"label":181,"slug":180,"count":116},"tableau","Tableau",{"key":183,"label":184,"slug":183,"count":21},"kafka","Kafka",{"key":186,"label":187,"slug":186,"count":21},"graphql","Graphql",{"key":189,"label":190,"slug":189,"count":21},"nosql","Nosql",{"key":192,"label":193,"slug":192,"count":21},"airflow","Airflow",{"key":195,"label":196,"slug":195,"count":21},"cloud-platforms","Cloud Platforms",{"key":104,"label":105,"slug":104,"count":21},{"key":199,"label":200,"slug":199,"count":25},"aws-bedrock","Aws Bedrock",{"key":202,"label":203,"slug":202,"count":25},"java","Java",{"key":76,"label":77,"slug":76,"count":25},{"key":206,"label":207,"slug":206,"count":25},"ms-excel","MS Excel",{"key":209,"label":210,"slug":209,"count":25},"dynamodb","Dynamodb",[212,214,216],{"key":213,"label":213,"count":50},"USD",{"key":215,"label":215,"count":42},"GBP",{"key":217,"label":217,"count":42},"MYR",[219],{"key":220,"label":220,"count":58},"FULL_TIME",{"total":58,"jobs":222},[223,282,330,364,397,418,445,521,546,564,585,630,659,684,703,732,763,783,800,820],{"id":224,"slug":225,"title":226,"raw_title":5,"is_featured":227,"company":228,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":231,"processed_country_iso_code_gmaps":233,"processed_home_office":235,"processed_salary_min":236,"processed_salary_max":237,"processed_salary_currency":213,"processed_salary_source":238,"processed_working_hours":239,"processed_employment_types":48,"processed_it_skills":240,"processed_it_skills_labels":241,"processed_job_expertise_skills":248,"processed_job_expertise_skills_labels":249,"max_cpc":42,"actual_cpc":281},76704,"director-data-strategy-data-products-activation-prudential-ins-co-of-america","Director, Data Strategy, Data Products & Activation",false,{"name":229,"slug":230,"logo_url":5},"Prudential Ins Co of America","prudential-ins-co-of-america",[232],"Newark",[234],"US","hybrid",158800,238200,"estimated",[220],{"sql":25,"python":25,"marketo":21,"ai\u002Fml enablement":25,"data engineering":25,"data architecture":25,"cloud-native data stacks":25,"adobe experience platform":21,"enterprise data warehouse (edw)":21,"salesforce marketing cloud (sfmc)":21},[242,243,244,245,65,84,246,247,141,145],"Adobe Experience Platform","Marketo","Salesforce Marketing Cloud (SFMC)","Enterprise Data Warehouse (EDW)","Cloud-native data stacks","AI\u002FML enablement",{"agile":25,"budgeting":25,"compliance":21,"ethical ai":21,"attribution":21,"stewardship":21,"data capture":21,"data lineage":21,"data privacy":21,"data quality":21,"lean product":25,"roi modeling":21,"cdp platforms":21,"data strategy":21,"martech stack":21,"identity graph":21,"kpi definition":21,"data cataloging":21,"data governance":21,"data management":21,"design thinking":25,"instrumentation":21,"campaign taxonomy":21,"matrix leadership":21,"vendor management":25,"consent management":21,"project management":21,"identity resolution":21,"metadata management":21,"data democratization":21,"data risk management":21,"self-serve analytics":21,"continuous improvement":21,"data product lifecycle":21,"performance monitoring":21,"closed-loop measurement":21,"data product management":21,"marketing data and technology":21},[250,94,251,252,61,81,77,253,57,254,255,256,257,258,259,260,112,261,262,263,264,265,266,267,268,269,270,271,272,273,274,275,276,277,278,279,280,134],"Data Strategy","Data Product Management","Marketing Data and Technology","Data Cataloging","Stewardship","Identity Resolution","Identity Graph","CDP Platforms","MarTech Stack","Data Privacy","Consent Management","Closed-loop Measurement","Attribution","Agile","Design Thinking","Lean Product","Data Product Lifecycle","KPI Definition","ROI Modeling","Data Democratization","Self-serve Analytics","Data Risk Management","Ethical AI","Campaign Taxonomy","Instrumentation","Data Capture","Performance Monitoring","Continuous Improvement","Matrix Leadership","Budgeting","Project Management",1.5,{"id":283,"slug":284,"title":285,"raw_title":5,"is_featured":227,"company":286,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":289,"processed_country_iso_code_gmaps":290,"processed_home_office":235,"processed_salary_min":291,"processed_salary_max":292,"processed_salary_currency":213,"processed_salary_source":238,"processed_working_hours":293,"processed_employment_types":48,"processed_it_skills":294,"processed_it_skills_labels":295,"processed_job_expertise_skills":316,"processed_job_expertise_skills_labels":317,"max_cpc":42,"actual_cpc":281},77994,"data-engineer-sedgwick-claims-management-services-inc","Data Engineer",{"name":287,"slug":288,"logo_url":5},"Sedgwick Claims Management Services Inc.","sedgwick-claims-management-services-inc",[],[234],120000,180000,[220],{"aws":21,"db2":25,"iam":25,"sql":21,"azure":21,"aws s3":21,"docker":21,"python":21,"airflow":21,"etl\u002Felt":21,"pyspark":21,"aws glue":21,"snowpipe":21,"mainframe":25,"snowflake":21,"aws lambda":21,"sql server":21,"privatelink":25,"azure synapse":21,"data modeling":21,"vector databases":21,"firewall controls":25,"aws step functions":21,"azure data factory":21,"network segmentation":25},[153,296,297,145,141,298,299,193,300,301,302,105,303,304,305,306,307,308,309,310,311,312,313,314,315],"AWS","Azure","PySpark","Docker","AWS Step Functions","Azure Data Factory","ETL\u002FELT","Vector Databases","Snowpipe","AWS S3","AWS Glue","AWS Lambda","Azure Synapse","Mainframe","DB2","SQL Server","IAM","PrivateLink","Network Segmentation","Firewall Controls",{"rag systems":21,"data quality":21,"generative ai":21,"orchestration":21,"vectorization":21,"data pipelines":21,"data governance":21,"containerization":21,"data engineering":21,"machine learning":21,"cost optimization":21,"cloud architecture":21,"data observability":21,"embedding pipelines":21,"feature engineering":21,"legacy system integration":21},[65,131,318,319,320,61,57,321,322,323,324,325,326,327,328,329],"Generative AI","Feature Engineering","Data Pipelines","Data Observability","Cost Optimization","Cloud Architecture","Legacy System Integration","Orchestration","Containerization","Vectorization","Embedding Pipelines","RAG Systems",{"id":331,"slug":332,"title":333,"raw_title":5,"is_featured":227,"company":334,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":337,"processed_country_iso_code_gmaps":339,"processed_home_office":235,"processed_salary_min":340,"processed_salary_max":341,"processed_salary_currency":213,"processed_salary_source":238,"processed_working_hours":342,"processed_employment_types":48,"processed_it_skills":343,"processed_it_skills_labels":344,"processed_job_expertise_skills":356,"processed_job_expertise_skills_labels":357,"max_cpc":42,"actual_cpc":281},67082,"staff-data-reliability-engineer-hybrid-hartford-fire-ins-co","Staff Data Reliability Engineer - Hybrid",{"name":335,"slug":336,"logo_url":5},"Hartford Fire Ins. Co","hartford-fire-ins-co",[338],"Charlotte",[234],127600,191400,[220],{"aws":25,"gcp":25,"sql":21,"aiops":21,"python":21,"asp.net":35,"pyspark":21,"snowflake":21,"informatica":21,"machine learning":25,"amazon emr\u002Fhadoop":25,"prompt engineering":25,".net (c# or vb.net)":35,"aws or google ai services":25,"sql server management studio (ssms)":25,"sql server integration services (ssis)":25,"data observability tools (monte carlo, bigeye, astro observe, datafold)":21},[145,298,141,345,346,153,296,347,348,349,350,351,352,353,131,354,355],"Informatica","Amazon EMR\u002FHadoop","GCP","SQL Server Integration Services (SSIS)","SQL Server Management Studio (SSMS)",".NET (C# or VB.NET)","ASP.NET","Data Observability Tools (Monte Carlo, Bigeye, Astro Observe, Datafold)","AIOps","Prompt Engineering","AWS or Google AI Services",{"dataops":21,"automation":21,"data quality":21,"data governance":25,"data validation":21,"data engineering":21,"cloud engineering":25,"data observability":21,"incident management":21,"data pipeline development":21,"site reliability engineering (sre)":21},[65,57,358,61,359,360,119,321,361,362,363],"Site Reliability Engineering (SRE)","DataOps","Incident Management","Data Pipeline Development","Data Validation","Cloud Engineering",{"id":365,"slug":366,"title":367,"raw_title":5,"is_featured":227,"company":368,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":371,"processed_country_iso_code_gmaps":373,"processed_home_office":235,"processed_salary_min":374,"processed_salary_max":375,"processed_salary_currency":213,"processed_salary_source":238,"processed_working_hours":376,"processed_employment_types":48,"processed_it_skills":377,"processed_it_skills_labels":378,"processed_job_expertise_skills":386,"processed_job_expertise_skills_labels":387,"max_cpc":42,"actual_cpc":281},61500,"global-it-audit-pmo-reporting-amp-analytics-enablement-avp-mufg-bank-ltd","Global IT Audit PMO – Reporting & Analytics Enablement, AVP",{"name":369,"slug":370,"logo_url":5},"MUFG Bank, Ltd.","mufg-bank-ltd",[372],"New York",[234],92000,134000,[220],{"vba":35,"excel":21,"alteryx":35,"tableau":21,"power bi":21,"powerpoint":21,"power query":25,"grc systems (openpages)":25},[181,379,380,381,382,383,384,385],"Power BI","Excel","PowerPoint","Power Query","Alteryx","VBA","GRC systems (OpenPages)",{"grc":21,"pmo":21,"it audit":21,"analytics":21,"reporting":21,"automation":25,"compliance":21,"data quality":21,"internal audit":21,"data management":21,"risk management":21,"dashboard design":21,"data visualization":21,"process standardization":21},[388,389,45,112,390,391,392,393,94,57,394,119,395,396],"Internal Audit","IT Audit","GRC","PMO","Reporting","Analytics","Process Standardization","Dashboard Design","Data Visualization",{"id":398,"slug":399,"title":400,"raw_title":5,"is_featured":227,"company":401,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":404,"processed_country_iso_code_gmaps":406,"processed_home_office":407,"processed_salary_min":408,"processed_salary_max":409,"processed_salary_currency":213,"processed_salary_source":238,"processed_working_hours":410,"processed_employment_types":48,"processed_it_skills":411,"processed_it_skills_labels":412,"processed_job_expertise_skills":415,"processed_job_expertise_skills_labels":416,"max_cpc":42,"actual_cpc":281},67540,"gen-ai-data-engineer-ii-020-travelers-indemnity-co","Gen AI - Data Engineer II",{"name":402,"slug":403,"logo_url":5},"Travelers Indemnity Co","travelers-indemnity-co",[405],"Atlanta",[234],"onsite",126500,208700,[220],{"python":21,"cloud platforms":21,"data engineering":21,"full stack design\u002Farchitecture":21,"gen ai concepts (agentic frameworks, rag, llm, chunking, hyper-parameters)":21},[145,196,413,65,414],"Gen AI concepts (Agentic Frameworks, RAG, LLM, Chunking, Hyper-parameters)","Full Stack Design\u002FArchitecture",{"data quality":25,"data analysis":21,"data security":25,"data governance":25,"system analysis":25,"data engineering":21,"software engineering practices":21},[65,61,73,57,69,125,417],"Software Engineering Practices",{"id":419,"slug":420,"title":421,"raw_title":5,"is_featured":227,"company":422,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":423,"processed_country_iso_code_gmaps":424,"processed_home_office":235,"processed_salary_min":425,"processed_salary_max":426,"processed_salary_currency":213,"processed_salary_source":238,"processed_working_hours":427,"processed_employment_types":48,"processed_it_skills":428,"processed_it_skills_labels":429,"processed_job_expertise_skills":438,"processed_job_expertise_skills_labels":439,"max_cpc":42,"actual_cpc":281},62730,"lead-business-intelligence-information-security-governance-001-prudential-ins-co-of-america","Lead, Business Intelligence, Information Security Governance",{"name":229,"slug":230,"logo_url":5},[232],[234],114500,188900,[220],{"aws":35,"sql":21,"jira":35,"claude":25,"copilot":25,"power bi":21,"power apps":25,"servicenow":35,"data modeling":21,"power automate":25,"power platform":25,"microsoft fabric":25},[379,141,105,430,431,432,433,434,435,296,436,437],"Microsoft Fabric","Power Platform","Power Automate","Power Apps","Copilot","Claude","ServiceNow","Jira",{"compliance":35,"data quality":21,"kpi definition":21,"kri definition":21,"data governance":25,"risk management":35,"metric governance":21,"data visualization":21,"executive reporting":21,"root cause analysis":25,"business intelligence":21,"information security governance":25},[440,396,441,267,442,57,61,137,443,444,45,112],"Business Intelligence","Metric Governance","KRI Definition","Executive Reporting","Information Security Governance",{"id":446,"slug":447,"title":448,"raw_title":5,"is_featured":227,"company":449,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":450,"processed_country_iso_code_gmaps":452,"processed_home_office":235,"processed_salary_min":453,"processed_salary_max":454,"processed_salary_currency":213,"processed_salary_source":238,"processed_working_hours":455,"processed_employment_types":48,"processed_it_skills":456,"processed_it_skills_labels":457,"processed_job_expertise_skills":483,"processed_job_expertise_skills_labels":484,"max_cpc":42,"actual_cpc":281},61421,"director-distinguished-engineer-enterprise-ai-platforms-mufg-bank-ltd","Director, Distinguished Engineer, Enterprise AI Platforms",{"name":369,"slug":370,"logo_url":5},[451],"Jersey City",[234],250000,350000,[220],{"aws":21,"sql":21,"java":21,"ci\u002Fcd":21,"kafka":25,"ragas":25,"scala":25,"spark":25,"crewai":25,"docker":21,"github":25,"python":21,"spring":25,"airflow":25,"fastapi":25,"graphql":25,"litellm":25,"node.js":25,"pytorch":25,"langchain":21,"langgraph":21,"sagemaker":25,"snowflake":25,"terraform":25,"databricks":25,"kubernetes":21,"tensorflow":25,"hugging face":25,"rest\u002Fopenapi":21,"vector search":25,"knowledge graphs":25,"metadata platforms":25,"document intelligence":25,"javascript\u002Ftypescript":25,"opensearch\u002Felasticsearch":25},[145,203,458,459,141,460,461,462,463,464,296,465,299,172,466,467,468,469,470,471,472,473,474,475,476,153,157,477,184,193,478,479,480,481,482],"Scala","JavaScript\u002FTypeScript","Spring","FastAPI","Node.js","GraphQL","REST\u002FOpenAPI","Kubernetes","GitHub","CI\u002FCD","LangChain","LangGraph","CrewAI","LiteLLM","Ragas","Hugging Face","PyTorch","TensorFlow","SageMaker","Spark","OpenSearch\u002FElasticsearch","Vector search","Knowledge graphs","Metadata platforms","Document intelligence",{"finops":21,"privacy":21,"security":21,"compliance":21,"model risk":21,"monitoring":21,"resilience":21,"auditability":21,"data lineage":21,"data quality":21,"agent runtime":21,"ai governance":21,"cybersecurity":21,"microservices":21,"model routing":21,"orchestration":21,"policy-as-code":25,"data governance":21,"ai observability":21,"containerization":21,"cost optimization":21,"data architecture":21,"vendor evaluation":21,"llm gateway design":21,"metadata management":21,"security guardrails":21,"event-driven systems":21,"operational controls":21,"platform engineering":21,"provider abstraction":21,"evaluation frameworks":21,"production operations":21,"technical roadmapping":21,"regulated environments":21,"access control patterns":21,"enterprise architecture":21,"executive communication":21,"ai platform architecture":21,"cloud-native architecture":21,"infrastructure automation":21,"build-versus-buy decisions":21,"human-in-the-loop workflows":21,"rag and knowledge integration":21,"reusable engineering patterns":21,"structured\u002Funstructured data integration":21},[485,486,487,488,489,490,491,325,492,493,494,495,496,497,498,499,500,326,501,502,84,61,81,77,503,57,504,505,506,507,508,322,509,510,511,512,513,514,515,516,112,517,518,519,520],"Enterprise Architecture","Platform Engineering","AI Platform Architecture","LLM Gateway Design","Model Routing","Provider Abstraction","Agent Runtime","RAG and Knowledge Integration","AI Observability","Evaluation Frameworks","Security Guardrails","FinOps","Reusable Engineering Patterns","Cloud-Native Architecture","Microservices","Event-Driven Systems","Infrastructure Automation","Production Operations","Structured\u002FUnstructured Data Integration","Access Control Patterns","Security","Resilience","Monitoring","Auditability","Operational Controls","Regulated Environments","Build-versus-Buy Decisions","Vendor Evaluation","Technical Roadmapping","Executive Communication","AI Governance","Model Risk","Privacy","Cybersecurity","Human-in-the-Loop Workflows","Policy-as-Code",{"id":522,"slug":523,"title":524,"raw_title":5,"is_featured":227,"company":525,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":528,"processed_country_iso_code_gmaps":530,"processed_home_office":235,"processed_salary_min":531,"processed_salary_max":532,"processed_salary_currency":213,"processed_salary_source":238,"processed_working_hours":533,"processed_employment_types":48,"processed_it_skills":534,"processed_it_skills_labels":535,"processed_job_expertise_skills":540,"processed_job_expertise_skills_labels":541,"max_cpc":42,"actual_cpc":281},60553,"senior-business-data-consultant-001-manufacturers-and-traders-trust-co","Senior Business Data Consultant",{"name":526,"slug":527,"logo_url":5},"Manufacturers and Traders Trust Co","manufacturers-and-traders-trust-co",[529],"Erie County",[234],123600,206000,[220],{"ai":25,"sql":21,"alteryx":25,"graphing":25,"spreadsheets":25,"presentations":25},[141,383,536,537,538,539],"AI","Spreadsheets","Graphing","Presentations",{"data quality":21,"data analytics":21,"data governance":21,"data management":21,"data architecture":21,"financial modeling":25,"process improvement":25,"logical data modeling":25,"business process management":25},[94,61,57,84,542,543,102,544,545],"Data Analytics","Financial Modeling","Business Process Management","Logical Data Modeling",{"id":547,"slug":548,"title":549,"raw_title":5,"is_featured":227,"company":550,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":551,"processed_country_iso_code_gmaps":553,"processed_home_office":407,"processed_salary_min":408,"processed_salary_max":409,"processed_salary_currency":213,"processed_salary_source":238,"processed_working_hours":554,"processed_employment_types":48,"processed_it_skills":555,"processed_it_skills_labels":556,"processed_job_expertise_skills":558,"processed_job_expertise_skills_labels":559,"max_cpc":42,"actual_cpc":281},67436,"data-engineer-ii-snowflake-dbt-aws-020-travelers-indemnity-co","Data Engineer II - Snowflake, dbt, AWS",{"name":402,"slug":403,"logo_url":5},[552],"Hartford",[234],[220],{"aws":25,"dbt":21,"sql":21,"snowflake":21},[153,141,557,296],"dbt",{"data mapping":21,"data quality":25,"data modeling":21,"data security":25,"data governance":25,"data warehousing":21,"systems migration":25,"data virtualization":25,"data pipeline design":21},[115,560,105,561,562,563,61,73,57],"Data Pipeline Design","Data Mapping","Data Virtualization","Systems Migration",{"id":565,"slug":566,"title":567,"raw_title":5,"is_featured":227,"company":568,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":571,"processed_country_iso_code_gmaps":573,"processed_home_office":235,"processed_salary_min":291,"processed_salary_max":574,"processed_salary_currency":213,"processed_salary_source":238,"processed_working_hours":575,"processed_employment_types":48,"processed_it_skills":576,"processed_it_skills_labels":577,"processed_job_expertise_skills":581,"processed_job_expertise_skills_labels":582,"max_cpc":42,"actual_cpc":281},56570,"senior-data-architect-hybrid-niic-national-interstate-insurance-company","Senior Data Architect - Hybrid",{"name":569,"slug":570,"logo_url":5},"National Interstate Insurance Company","national-interstate-insurance-company",[572],"Richfield",[234],160000,[220],{"etl":21,"sql":21,"snowflake":25,"data modeling":21,"informatica cloud":25,"cloud platforms (aws, azure, google cloud)":21},[141,578,105,579,580,153],"ETL","Cloud Platforms (AWS, Azure, Google Cloud)","Informatica Cloud",{"data quality":21,"data governance":21,"database design":21,"data integration":21,"data architecture":21,"project leadership":21,"regulatory compliance":21},[84,61,109,583,57,98,584],"Database Design","Project Leadership",{"id":586,"slug":587,"title":588,"raw_title":5,"is_featured":227,"company":589,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":592,"processed_country_iso_code_gmaps":594,"processed_home_office":235,"processed_salary_min":595,"processed_salary_max":596,"processed_salary_currency":213,"processed_salary_source":238,"processed_working_hours":597,"processed_employment_types":48,"processed_it_skills":598,"processed_it_skills_labels":599,"processed_job_expertise_skills":610,"processed_job_expertise_skills_labels":611,"max_cpc":42,"actual_cpc":281},79154,"director-investment-data-intelligence-transamerica","Director, Investment Data & Intelligence",{"name":590,"slug":591,"logo_url":5},"Transamerica","transamerica",[593],"Philadelphia",[234],173000,215000,[220],{"sql":21,"msci":25,"python":21,"aladdin":25,"factset":25,"tableau":21,"power bi":21,"bloomberg":25,"snowflake":25,"databricks":25,"morningstar":25,"thoughtspot":21,"microsoft fabric":25,"modern data architecture":21,"api integration frameworks":21,"cloud platforms (azure, aws, or gcp)":21,"data modeling and pipeline development":21},[145,141,600,601,602,603,379,181,604,153,157,430,605,606,607,608,609],"Cloud platforms (Azure, AWS, or GCP)","Modern data architecture","Data modeling and pipeline development","API integration frameworks","ThoughtSpot","Aladdin","Bloomberg","FactSet","MSCI","Morningstar",{"esg data":21,"analytics":21,"budgeting":25,"automation":21,"market data":21,"data lineage":21,"data quality":21,"data security":21,"generative ai":21,"data governance":21,"risk management":21,"data engineering":21,"data stewardship":21,"client engagement":21,"product innovation":21,"project management":21,"private market data":21,"alternative datasets":21,"portfolio management":21,"investment management":21,"investment operations":21,"strategic initiatives":21,"data lake architecture":21,"stakeholder management":21,"ai and machine learning":21,"data lakehouse architecture":21,"data warehouse architecture":21,"monitoring and observability":21,"performance measurement and attribution":21,"security master and investment reference data":21},[612,65,393,613,61,57,77,614,73,122,615,45,616,617,618,619,620,621,622,623,624,625,626,318,119,627,628,629,279,280],"Investment Management","Product Innovation","Data Stewardship","Investment Operations","Performance Measurement and Attribution","Security Master and Investment Reference Data","Market Data","ESG Data","Alternative Datasets","Private Market Data","Data Lake Architecture","Data Lakehouse Architecture","Data Warehouse Architecture","Monitoring and Observability","AI and Machine Learning","Stakeholder Management","Client Engagement","Strategic Initiatives",{"id":631,"slug":632,"title":633,"raw_title":5,"is_featured":227,"company":634,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":637,"processed_country_iso_code_gmaps":639,"processed_home_office":407,"processed_salary_min":640,"processed_salary_max":641,"processed_salary_currency":213,"processed_salary_source":238,"processed_working_hours":642,"processed_employment_types":48,"processed_it_skills":643,"processed_it_skills_labels":644,"processed_job_expertise_skills":648,"processed_job_expertise_skills_labels":649,"max_cpc":42,"actual_cpc":281},53944,"associate-data-integrity-group-blue-owl-insurance-solutions-blue-owl-capital-holdings-llc","Associate, Data Integrity Group - Blue Owl Insurance Solutions",{"name":635,"slug":636,"logo_url":5},"Blue Owl Capital Holdings LLC","blue-owl-capital-holdings-llc",[638],"Chicago",[234],75000,105000,[220],{"sql":25,"looker":25,"python":25,"tableau":25,"power bi":25,"snowflake":25,"microsoft excel":21,"blackrock aladdin":21},[645,646,141,153,379,181,647,145],"Microsoft Excel","BlackRock Aladdin","Looker",{"auditing":25,"automation":25,"data quality":21,"data modeling":25,"documentation":25,"etl processes":25,"reconciliation":25,"data governance":21,"data warehousing":25,"process improvement":25,"compliance reporting":25,"fixed income knowledge":25,"equity markets knowledge":25,"private credit knowledge":25,"investment data management":21},[61,57,650,115,651,105,652,653,654,655,656,657,102,119,658],"Investment Data Management","ETL Processes","Fixed Income Knowledge","Private Credit Knowledge","Equity Markets Knowledge","Compliance Reporting","Auditing","Reconciliation","Documentation",{"id":660,"slug":661,"title":662,"raw_title":5,"is_featured":227,"company":663,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":664,"processed_country_iso_code_gmaps":665,"processed_home_office":235,"processed_salary_min":666,"processed_salary_max":667,"processed_salary_currency":213,"processed_salary_source":238,"processed_working_hours":668,"processed_employment_types":48,"processed_it_skills":669,"processed_it_skills_labels":670,"processed_job_expertise_skills":678,"processed_job_expertise_skills_labels":679,"max_cpc":42,"actual_cpc":281},67075,"gcp-data-engineer-hartford-fire-ins-co","GCP Data Engineer",{"name":335,"slug":336,"logo_url":5},[338],[234],100960,151440,[220],{"iam":21,"sql":21,"ci\u002Fcd":25,"python":21,"bigquery":21,"composer":25,"dataplex":25,"terraform":35,"cloud storage":21,"github copilot":25,"google cloud platform":21,"informatica idmc\u002Fcdgc":35},[671,672,673,312,145,141,467,172,674,675,676,677],"Google Cloud Platform","BigQuery","Cloud Storage","Informatica IDMC\u002FCDGC","Dataplex","Composer","GitHub Copilot",{"etl\u002Felt":21,"data lineage":35,"data quality":35,"api integration":25,"data governance":25,"data engineering":21,"metadata management":25,"infrastructure-as-code":35,"ai-assisted development":25,"event-driven architectures":35},[65,302,61,81,77,57,680,681,682,683],"API Integration","Event-driven Architectures","Infrastructure-as-Code","AI-assisted Development",{"id":685,"slug":686,"title":687,"raw_title":5,"is_featured":227,"company":688,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":689,"processed_country_iso_code_gmaps":690,"processed_home_office":235,"processed_salary_min":691,"processed_salary_max":692,"processed_salary_currency":213,"processed_salary_source":238,"processed_working_hours":693,"processed_employment_types":48,"processed_it_skills":694,"processed_it_skills_labels":695,"processed_job_expertise_skills":698,"processed_job_expertise_skills_labels":699,"max_cpc":42,"actual_cpc":281},49424,"business-data-governance-lead-vice-president-mufg-bank-ltd","Business Data Governance Lead, Vice President",{"name":369,"slug":370,"logo_url":5},[451],[234],147000,193000,[220],{"data lineage":25,"data quality tools":25,"metadata management":25,"data governance platforms":25},[696,697,81,77],"Data Governance Platforms","Data Quality Tools",{"data policy":21,"data quality":21,"data governance":21,"data management":25,"audit management":25,"data stewardship":25,"banking operations":25,"regulatory compliance":25},[61,700,57,94,701,98,702,614],"Data Policy","Banking Operations","Audit Management",{"id":704,"slug":705,"title":706,"raw_title":5,"is_featured":227,"company":707,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":710,"processed_country_iso_code_gmaps":712,"processed_home_office":407,"processed_salary_min":713,"processed_salary_max":714,"processed_salary_currency":213,"processed_salary_source":238,"processed_working_hours":715,"processed_employment_types":48,"processed_it_skills":716,"processed_it_skills_labels":717,"processed_job_expertise_skills":718,"processed_job_expertise_skills_labels":719,"max_cpc":42,"actual_cpc":281},45092,"transformation-management-private-credit-amp-private-markets-apollo-management-holdings-lp","Transformation Management - Private Credit & Private Markets",{"name":708,"slug":709,"logo_url":5},"Apollo Management Holdings, L.P.","apollo-management-holdings-lp",[711],"Greenwich",[234],235000,285000,[220],{},[],{"data lineage":21,"data quality":21,"direct lending":25,"private credit":21,"data governance":21,"private markets":21,"data architecture":21,"investor reporting":21,"project management":21,"portfolio analytics":21,"structured products":25,"asset-backed finance":25,"opportunistic credit":25,"portfolio management":21,"regulatory reporting":25,"executive presentation":21,"deal lifecycle management":21,"transformation management":21},[720,61,77,280,122,721,722,84,723,57,724,725,726,727,728,729,730,731],"Transformation Management","Private Credit","Private Markets","Executive Presentation","Deal Lifecycle Management","Investor Reporting","Regulatory Reporting","Portfolio Analytics","Structured Products","Asset-Backed Finance","Direct Lending","Opportunistic Credit",{"id":733,"slug":734,"title":735,"raw_title":5,"is_featured":227,"company":736,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":739,"processed_country_iso_code_gmaps":741,"processed_home_office":407,"processed_salary_min":742,"processed_salary_max":743,"processed_salary_currency":215,"processed_salary_source":238,"processed_working_hours":744,"processed_employment_types":48,"processed_it_skills":745,"processed_it_skills_labels":746,"processed_job_expertise_skills":754,"processed_job_expertise_skills_labels":755,"max_cpc":42,"actual_cpc":281},59386,"principal-cloud-data-architect-lseg","Principal - Cloud Data Architect",{"name":737,"slug":738,"logo_url":5},"LSEG","lseg",[740],"Allen",[234],150000,200000,[220],{"aws":21,"gcp":25,"sql":21,"azure":21,"hbase":25,"kafka":25,"python":21,"airflow":25,"graphql":25,"kinesis":25,"mongodb":25,"cosmosdb":25,"dataflow":25,"dynamodb":25,"snowflake":21,"databricks":21},[141,145,296,297,347,184,747,748,193,749,750,751,752,463,153,753],"Kinesis","DataFlow","MongoDB","DynamoDB","HBase","CosmosDB","DataBricks",{"nosql":25,"data quality":21,"data delivery":21,"cloud services":21,"data governance":25,"data integration":21,"data warehousing":21,"data architecture":21,"predictive modeling":25,"relational modeling":21,"prescriptive modeling":25,"master data management":25,"real-time data distribution":25},[84,756,61,128,109,57,757,758,759,760,115,761,762],"Cloud Services","Data Delivery","Relational Modeling","Real-time Data Distribution","NoSQL","Predictive Modeling","Prescriptive Modeling",{"id":764,"slug":765,"title":766,"raw_title":5,"is_featured":227,"company":767,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":768,"processed_country_iso_code_gmaps":769,"processed_home_office":407,"processed_salary_min":770,"processed_salary_max":771,"processed_salary_currency":213,"processed_salary_source":238,"processed_working_hours":772,"processed_employment_types":48,"processed_it_skills":773,"processed_it_skills_labels":774,"processed_job_expertise_skills":778,"processed_job_expertise_skills_labels":779,"max_cpc":42,"actual_cpc":281},67437,"data-engineer-i-databricks-aws-python-020-travelers-indemnity-co","Data Engineer I (Databricks, AWS, Python)",{"name":402,"slug":403,"logo_url":5},[552],[234],109300,180200,[220],{"aws":21,"sql":25,"openai":25,"python":21,"terraform":25,"api design":25,"databricks":21,"aws bedrock":25},[145,141,296,157,172,775,776,777],"OpenAI","AWS Bedrock","API Design",{"ai\u002Fml":25,"data quality":25,"data analysis":25,"data security":25,"data governance":25,"data engineering":21,"software engineering":21,"data pipeline construction":21},[65,780,61,73,57,69,781,782],"Data Pipeline Construction","Software Engineering","AI\u002FML",{"id":784,"slug":785,"title":786,"raw_title":5,"is_featured":227,"company":787,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":788,"processed_country_iso_code_gmaps":789,"processed_home_office":407,"processed_salary_min":408,"processed_salary_max":409,"processed_salary_currency":213,"processed_salary_source":238,"processed_working_hours":790,"processed_employment_types":48,"processed_it_skills":791,"processed_it_skills_labels":792,"processed_job_expertise_skills":796,"processed_job_expertise_skills_labels":797,"max_cpc":42,"actual_cpc":281},67433,"data-engineer-ii-databricks-platform-020-travelers-indemnity-co","Data Engineer II - Databricks Platform",{"name":402,"slug":403,"logo_url":5},[552],[234],[220],{"aws":21,"genie":21,"pyspark":21,"databricks":21,"unity catalog":21,"cloud platforms":21,"programming languages":21,"software engineering practices":21},[157,296,178,793,794,196,795,417],"Unity Catalog","Genie","Programming Languages",{"data quality":21,"data analysis":21,"data security":21,"data governance":21,"data engineering":21,"agile product development":21,"data platform technologies":21},[65,61,73,57,69,798,799],"Data Platform Technologies","Agile Product Development",{"id":801,"slug":802,"title":803,"raw_title":5,"is_featured":227,"company":804,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":805,"processed_country_iso_code_gmaps":806,"processed_home_office":407,"processed_salary_min":807,"processed_salary_max":808,"processed_salary_currency":213,"processed_salary_source":238,"processed_working_hours":809,"processed_employment_types":48,"processed_it_skills":810,"processed_it_skills_labels":811,"processed_job_expertise_skills":817,"processed_job_expertise_skills_labels":818,"max_cpc":42,"actual_cpc":281},67459,"emerging-technology-senior-engineer-020-travelers-indemnity-co","Emerging Technology Senior Engineer",{"name":402,"slug":403,"logo_url":5},[552],[234],139400,230000,[220],{"aws":21,"react":25,"docker":25,"python":21,"mongodb":25,"javascript":25,"postgresql":25,"genai models":21,"quantum computing tools":35},[296,145,812,813,749,814,299,815,816],"JavaScript","React","PostgreSQL","GenAI Models","Quantum Computing Tools",{"data quality":25,"data analysis":21,"data security":25,"data governance":25,"system analysis":25,"data engineering":21,"project management":25,"business partnership":25,"software engineering":21},[65,69,61,73,57,781,125,819,280],"Business Partnership",{"id":821,"slug":822,"title":823,"raw_title":5,"is_featured":227,"company":824,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":827,"processed_country_iso_code_gmaps":828,"processed_home_office":235,"processed_salary_min":829,"processed_salary_max":830,"processed_salary_currency":213,"processed_salary_source":238,"processed_working_hours":831,"processed_employment_types":48,"processed_it_skills":832,"processed_it_skills_labels":833,"processed_job_expertise_skills":843,"processed_job_expertise_skills_labels":844,"max_cpc":42,"actual_cpc":281},60099,"senior-news-engineering-manager-usa016-refinitiv-us-llc","Senior News Engineering Manager",{"name":825,"slug":826,"logo_url":5},"Refinitiv US LLC","refinitiv-us-llc",[372],[234],147500,245900,[220],{"nlp":25,"java":25,"ci\u002Fcd":25,"linux":25,"python":25,"containers":25,"classification":25,"text processing":25,"entity extraction":25,"metadata enrichment":25,"cloud infrastructure":25,"ai-assisted development tools":25},[203,145,834,467,835,836,837,838,839,840,841,842],"Linux","Containers","Cloud Infrastructure","AI-assisted development tools","NLP","Entity Extraction","Text Processing","Metadata Enrichment","Classification",{"hiring":21,"onboarding":21,"data quality":25,"news delivery":25,"observability":25,"financial news":25,"model behavior":25,"devops practices":25,"automated testing":25,"people management":21,"real-time systems":25,"career development":21,"content processing":25,"on-call management":25,"project management":25,"architecture design":25,"distributed systems":25,"engineering management":21,"operational excellence":25,"performance management":21,"high-availability systems":25,"low-latency architectures":25},[845,846,847,848,849,850,280,851,852,853,854,855,856,857,858,859,860,57,861,862,863,864],"Engineering Management","People Management","Performance Management","Career Development","Hiring","Onboarding","Architecture Design","Low-latency Architectures","High-availability Systems","Distributed Systems","Real-time Systems","Operational Excellence","On-call Management","DevOps Practices","Automated Testing","Observability","Model Behavior","Content Processing","News Delivery","Financial News",{"total":866,"jobs":867},0,[]]