[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-expertise-data-observability-global":3,"job-search-\u002Fde\u002Fjobs-by-expertise\u002Fdata-observability":4,"expertise-filters-\u002Fde\u002Fjobs-by-expertise\u002Fdata-observability":228,"featured-jobs-\u002Fde\u002Fjobs-by-expertise\u002Fdata-observability":356},{},{"total":5,"jobs":6},5,[7,70,117,152,200],{"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":17,"processed_home_office":18,"processed_salary_min":19,"processed_salary_max":20,"processed_salary_currency":21,"processed_salary_source":22,"processed_working_hours":23,"processed_employment_types":25,"processed_it_skills":26,"processed_it_skills_labels":30,"processed_job_expertise_skills":43,"processed_job_expertise_skills_labels":44,"max_cpc":69,"actual_cpc":69},80337,"senior-data-engineer-con-ii-allstate-insurance-co","Senior Data Engineer Con II",null,false,{"name":14,"slug":15,"logo_url":11},"Allstate Insurance Co.","allstate-insurance-co",[],[],"hybrid",90700,153925,"USD","estimated",[24],"FULL_TIME","permanent",{"sql":27,"azure":28,"ci\u002Fcd":29,"kafka":28,"python":27,"onelake":29,"databricks":28,"apache spark":27,"delta\u002Fparquet":29,"event streams":28,"microsoft fabric":29,"infrastructure as code (iac)":29},4,2,3,[31,32,33,34,35,36,37,38,39,40,41,42],"Apache Spark","Python","SQL","Microsoft Fabric","OneLake","Delta\u002FParquet","CI\u002FCD","Infrastructure as Code (IaC)","Kafka","Event Streams","Azure","Databricks",{"etl\u002Felt":27,"kimball":28,"devsecops":29,"data vault":28,"scalability":27,"data lineage":29,"data quality":29,"data modeling":27,"generative ai":28,"agile delivery":29,"data governance":29,"fault tolerance":27,"data engineering":27,"data integration":27,"data reliability":27,"machine learning":28,"data observability":29,"performance tuning":27,"metadata management":29,"dimensional modeling":27,"distributed computing":27,"lakehouse architecture":27,"master data management":28,"medallion architecture":27},[45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68],"Data Engineering","Dimensional Modeling","Lakehouse Architecture","Medallion Architecture","ETL\u002FELT","Data Integration","Data Governance","Data Quality","Data Observability","Distributed Computing","Performance Tuning","Scalability","Fault Tolerance","Data Reliability","Agile Delivery","DevSecOps","Data Modeling","Data Lineage","Metadata Management","Master Data Management","Data Vault","Kimball","Machine Learning","Generative AI",1,{"id":71,"slug":72,"title":73,"raw_title":11,"is_featured":12,"company":74,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":77,"processed_country_iso_code_gmaps":78,"processed_home_office":18,"processed_salary_min":80,"processed_salary_max":81,"processed_salary_currency":21,"processed_salary_source":22,"processed_working_hours":82,"processed_employment_types":25,"processed_it_skills":83,"processed_it_skills_labels":84,"processed_job_expertise_skills":105,"processed_job_expertise_skills_labels":106,"max_cpc":69,"actual_cpc":69},77994,"data-engineer-sedgwick-claims-management-services-inc","Data Engineer",{"name":75,"slug":76,"logo_url":11},"Sedgwick Claims Management Services Inc.","sedgwick-claims-management-services-inc",[],[79],"US",120000,180000,[24],{"aws":27,"db2":29,"iam":29,"sql":27,"azure":27,"aws s3":27,"docker":27,"python":27,"airflow":27,"etl\u002Felt":27,"pyspark":27,"aws glue":27,"snowpipe":27,"mainframe":29,"snowflake":27,"aws lambda":27,"sql server":27,"privatelink":29,"azure synapse":27,"data modeling":27,"vector databases":27,"firewall controls":29,"aws step functions":27,"azure data factory":27,"network segmentation":29},[85,86,41,32,33,87,88,89,90,91,49,61,92,93,94,95,96,97,98,99,100,101,102,103,104],"Snowflake","AWS","PySpark","Docker","Airflow","AWS Step Functions","Azure Data Factory","Vector Databases","Snowpipe","AWS S3","AWS Glue","AWS Lambda","Azure Synapse","Mainframe","DB2","SQL Server","IAM","PrivateLink","Network Segmentation","Firewall Controls",{"rag systems":27,"data quality":27,"generative ai":27,"orchestration":27,"vectorization":27,"data pipelines":27,"data governance":27,"containerization":27,"data engineering":27,"machine learning":27,"cost optimization":27,"cloud architecture":27,"data observability":27,"embedding pipelines":27,"feature engineering":27,"legacy system integration":27},[45,67,68,107,108,51,52,53,109,110,111,112,113,114,115,116],"Feature Engineering","Data Pipelines","Cost Optimization","Cloud Architecture","Legacy System Integration","Orchestration","Containerization","Vectorization","Embedding Pipelines","RAG Systems",{"id":118,"slug":119,"title":120,"raw_title":11,"is_featured":12,"company":121,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":124,"processed_country_iso_code_gmaps":126,"processed_home_office":18,"processed_salary_min":127,"processed_salary_max":128,"processed_salary_currency":21,"processed_salary_source":22,"processed_working_hours":129,"processed_employment_types":25,"processed_it_skills":130,"processed_it_skills_labels":131,"processed_job_expertise_skills":143,"processed_job_expertise_skills_labels":144,"max_cpc":69,"actual_cpc":69},67082,"staff-data-reliability-engineer-hybrid-hartford-fire-ins-co","Staff Data Reliability Engineer - Hybrid",{"name":122,"slug":123,"logo_url":11},"Hartford Fire Ins. Co","hartford-fire-ins-co",[125],"Charlotte",[79],127600,191400,[24],{"aws":29,"gcp":29,"sql":27,"aiops":27,"python":27,"asp.net":28,"pyspark":27,"snowflake":27,"informatica":27,"machine learning":29,"amazon emr\u002Fhadoop":29,"prompt engineering":29,".net (c# or vb.net)":28,"aws or google ai services":29,"sql server management studio (ssms)":29,"sql server integration services (ssis)":29,"data observability tools (monte carlo, bigeye, astro observe, datafold)":27},[32,87,33,132,133,85,86,134,135,136,137,138,139,140,67,141,142],"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":27,"automation":27,"data quality":27,"data governance":29,"data validation":27,"data engineering":27,"cloud engineering":29,"data observability":27,"incident management":27,"data pipeline development":27,"site reliability engineering (sre)":27},[45,52,145,51,146,147,148,53,149,150,151],"Site Reliability Engineering (SRE)","DataOps","Incident Management","Automation","Data Pipeline Development","Data Validation","Cloud Engineering",{"id":153,"slug":154,"title":155,"raw_title":11,"is_featured":12,"company":156,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":159,"processed_country_iso_code_gmaps":160,"processed_home_office":162,"processed_salary_min":80,"processed_salary_max":81,"processed_salary_currency":163,"processed_salary_source":22,"processed_working_hours":164,"processed_employment_types":25,"processed_it_skills":165,"processed_it_skills_labels":166,"processed_job_expertise_skills":185,"processed_job_expertise_skills_labels":186,"max_cpc":69,"actual_cpc":69},62344,"data-engineer-vp-ocbc-bank","Data Engineer (VP)",{"name":157,"slug":158,"logo_url":11},"OCBC Bank","ocbc-bank",[],[161],"SG","onsite","SGD",[24],{"aws":27,"dbt":29,"git":29,"sql":27,"ci\u002Fcd":29,"kafka":29,"docker":29,"hadoop":29,"python":27,"airflow":29,"dagster":29,"kinesis":29,"pyspark":27,"pinecone":28,"power bi":29,"weaviate":28,"langchain":28,"sagemaker":28,"terraform":28,"databricks":29,"kubernetes":29,"opensearch":28,"apache spark":27,"amazon bedrock":28,"apache iceberg":27,"cloudformation":28,"data virtualization":29,"unix\u002Flinux shell scripting":29},[33,31,87,32,167,168,89,169,170,37,171,86,39,172,173,174,175,88,176,177,178,42,179,180,181,182,183,184],"Apache Iceberg","dbt","Dagster","Git","Unix\u002FLinux shell scripting","Kinesis","Hadoop","Data Virtualization","Power BI","Kubernetes","Amazon Bedrock","SageMaker","OpenSearch","LangChain","Pinecone","Weaviate","Terraform","CloudFormation",{"mlops":29,"banking":29,"dataops":27,"data mesh":28,"data lineage":27,"ai governance":28,"data products":28,"generative ai":29,"vector search":29,"responsible ai":28,"data governance":27,"data engineering":27,"machine learning":29,"data observability":27,"financial services":29,"distributed systems":29,"feature engineering":29,"metadata management":27,"lakehouse architecture":27,"cloud-native architecture":27,"data platform architecture":27,"large language models (llms)":28,"retrieval-augmented generation (rag)":29},[45,187,188,47,51,62,63,53,146,189,67,68,190,107,191,192,193,194,195,196,197,198,199],"Data Platform Architecture","Cloud-native Architecture","MLOps","Retrieval-Augmented Generation (RAG)","Vector Search","Data Mesh","Data Products","Distributed Systems","Large Language Models (LLMs)","Responsible AI","AI Governance","Financial Services","Banking",{"id":201,"slug":202,"title":203,"raw_title":11,"is_featured":12,"company":204,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":207,"processed_country_iso_code_gmaps":209,"processed_home_office":18,"processed_salary_min":210,"processed_salary_max":211,"processed_salary_currency":21,"processed_salary_source":22,"processed_working_hours":212,"processed_employment_types":25,"processed_it_skills":213,"processed_it_skills_labels":214,"processed_job_expertise_skills":217,"processed_job_expertise_skills_labels":218,"max_cpc":69,"actual_cpc":227},47512,"senior-principal-solutions-architect-data-platform-group-services-inc","Senior Principal Solutions Architect, Data Platform",{"name":205,"slug":206,"logo_url":11},"Invesco Group Services, INC.","invesco-group-services-inc",[208],"Houston",[79],150000,200000,[24],{"aws":27,"azure":29,"python":29,"tableau":29,"power bi":29,"snowflake":29,"terraform":29,"powershell":29,"sql server":29},[86,41,100,85,175,215,183,32,216],"Tableau","PowerShell",{"sdlc":29,"compliance":29,"data quality":27,"ai governance":27,"data governance":27,"risk management":29,"solution design":27,"vendor management":29,"data observability":27,"project management":29,"agile methodologies":29,"metadata management":27,"enterprise architecture":27},[219,220,51,52,53,63,197,221,222,223,224,225,226],"Enterprise Architecture","Solution Design","Risk Management","Compliance","Vendor Management","Project Management","Agile Methodologies","SDLC",0.5,{"industry":229,"employment_type":239,"expertise_skills":242,"it_skills":295,"salary_currency":351,"processed_working_hours":354},[230,233,235,237],{"key":231,"label":232,"count":29},"insurance","Insurance",{"key":234,"label":198,"count":28},"financial services",{"key":236,"label":199,"count":69},"banking",{"key":238,"label":221,"count":69},"risk management",[240],{"key":25,"label":241,"count":5},"PERMANENT",[243,245,247,249,251,254,256,258,260,262,264,267,270,272,274,276,278,280,282,284,286,289,291,293],{"key":244,"label":53,"slug":244,"count":5},"data-observability",{"key":246,"label":51,"slug":246,"count":5},"data-governance",{"key":248,"label":45,"slug":248,"count":27},"data-engineering",{"key":250,"label":52,"slug":250,"count":27},"data-quality",{"key":252,"label":253,"slug":252,"count":29},"generative-ai","Generative Ai",{"key":255,"label":67,"slug":255,"count":29},"machine-learning",{"key":257,"label":63,"slug":257,"count":29},"metadata-management",{"key":259,"label":62,"slug":259,"count":28},"data-lineage",{"key":261,"label":47,"slug":261,"count":28},"lakehouse-architecture",{"key":263,"label":107,"slug":263,"count":28},"feature-engineering",{"key":265,"label":266,"slug":265,"count":28},"ai-governance","Ai Governance",{"key":268,"label":269,"slug":268,"count":28},"dataops","Dataops",{"key":271,"label":61,"slug":271,"count":69},"data-modeling",{"key":273,"label":149,"slug":273,"count":69},"data-pipeline-development",{"key":275,"label":108,"slug":275,"count":69},"data-pipelines",{"key":277,"label":187,"slug":277,"count":69},"data-platform-architecture",{"key":279,"label":193,"slug":279,"count":69},"data-products",{"key":281,"label":58,"slug":281,"count":69},"data-reliability",{"key":283,"label":150,"slug":283,"count":69},"data-validation",{"key":285,"label":65,"slug":285,"count":69},"data-vault",{"key":287,"label":288,"slug":287,"count":69},"devsecops","Devsecops",{"key":290,"label":46,"slug":290,"count":69},"dimensional-modeling",{"key":292,"label":54,"slug":292,"count":69},"distributed-computing",{"key":294,"label":194,"slug":294,"count":69},"distributed-systems",[296,298,300,303,306,308,311,313,315,318,321,323,326,328,330,332,333,335,337,340,342,344,347,349],{"key":297,"label":32,"slug":297,"count":5},"python",{"key":299,"label":33,"slug":299,"count":27},"sql",{"key":301,"label":302,"slug":301,"count":27},"aws","Aws",{"key":304,"label":305,"slug":304,"count":29},"pyspark","Pyspark",{"key":307,"label":85,"slug":307,"count":29},"snowflake",{"key":309,"label":310,"slug":309,"count":29},"ms-azure","MS Azure",{"key":312,"label":89,"slug":312,"count":28},"airflow",{"key":314,"label":183,"slug":314,"count":28},"terraform",{"key":316,"label":317,"slug":316,"count":28},"ms-powerbi","MS PowerBI",{"key":319,"label":320,"slug":319,"count":28},"sql-server","Sql Server",{"key":322,"label":31,"slug":322,"count":28},"apache-spark",{"key":324,"label":325,"slug":324,"count":28},"cicd","Ci\u002FCd",{"key":327,"label":88,"slug":327,"count":28},"docker",{"key":329,"label":39,"slug":329,"count":28},"kafka",{"key":331,"label":42,"slug":331,"count":28},"databricks",{"key":271,"label":61,"slug":271,"count":69},{"key":334,"label":139,"slug":334,"count":69},"data-observability-tools-monte-carlo-bigeye-astro-observe-datafold",{"key":336,"label":174,"slug":336,"count":69},"data-virtualization",{"key":338,"label":339,"slug":338,"count":69},"db2","Db2",{"key":168,"label":341,"slug":168,"count":69},"Dbt",{"key":343,"label":36,"slug":343,"count":69},"deltaparquet",{"key":345,"label":346,"slug":345,"count":69},"etlelt","Etl\u002FElt",{"key":348,"label":40,"slug":348,"count":69},"event-streams",{"key":350,"label":104,"slug":350,"count":69},"firewall-controls",[352,353],{"key":21,"label":21,"count":27},{"key":163,"label":163,"count":69},[355],{"key":24,"label":24,"count":5},{"total":69,"jobs":357},[358],{"id":359,"slug":360,"title":361,"raw_title":11,"is_featured":362,"company":363,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":367,"processed_country_iso_code_gmaps":369,"processed_home_office":371,"processed_salary_min":372,"processed_salary_max":373,"processed_salary_currency":374,"processed_salary_source":11,"processed_working_hours":375,"processed_employment_types":241,"processed_it_skills":377,"processed_it_skills_labels":11,"processed_job_expertise_skills":378,"processed_job_expertise_skills_labels":379,"max_cpc":386,"actual_cpc":11},52265,"privatkundenbetreuer-mwd-banking-frankfurt-am-main-white-horse-international-gmbh","Privatkundenbetreuer (m\u002Fw\u002Fd) – Banking | Frankfurt am Main",true,{"name":364,"slug":365,"logo_url":366},"White Horse International GmbH","white-horse-international-gmbh","https:\u002F\u002Fwhitehorse-international.com\u002Fwp-content\u002Fuploads\u002F2022\u002F03\u002Fwhite-horse-logo-final-gif.gif",[368],"Frankfurt am Main",[370],"DE","HYBRID",45000,65000,"EUR",[376],"full_time",{},{"Financial Analysis":29,"Regulatory Compliance":29,"New Customer Acquisition":29,"Private Banking Advisory":29,"Banking Products Knowledge":29,"Customer Relationship Management":29},[380,381,382,383,384,385],"Private Banking Advisory","Financial Analysis","Banking Products Knowledge","Regulatory Compliance","Customer Relationship Management","New Customer Acquisition",0.8]