[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-skill-scala-us":3,"job-search-\u002Fen-us\u002Fjobs-by-skill\u002Fscala":8,"skill-page-filters-\u002Fen-us\u002Fjobs-by-skill\u002Fscala":392,"featured-jobs-\u002Fen-us\u002Fjobs-by-skill\u002Fscala":521},{"image_path":4,"content_de":5,"content_en":5,"composite_key":6,"last_updated":7},"\u002Fimages\u002Fskill\u002Fscala.webp",null,"skill:scala:us","2026-08-17T09:06:03.279359+02:00",{"total":9,"jobs":10},9,[11,70,103,137,175,257,303,327,352],{"id":12,"slug":13,"title":14,"raw_title":5,"is_featured":15,"company":16,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":19,"processed_country_iso_code_gmaps":21,"processed_home_office":23,"processed_salary_min":24,"processed_salary_max":25,"processed_salary_currency":26,"processed_salary_source":27,"processed_working_hours":28,"processed_employment_types":30,"processed_it_skills":31,"processed_it_skills_labels":34,"processed_job_expertise_skills":50,"processed_job_expertise_skills_labels":51,"max_cpc":68,"actual_cpc":69},88334,"principal-data-engineering-transamerica","Principal Data Engineering",false,{"name":17,"slug":18,"logo_url":5},"Transamerica","transamerica",[20],"Denver",[22],"US","onsite",120000,180000,"USD","estimated",[29],"FULL_TIME","permanent",{"etl":32,"sql":32,"java":33,"linux":33,"scala":33,"devops":33,"python":33,"node.js":33,"big data":32,"cloud computing":32,"shell scripting":33,"data warehousing":32,"data visualization tools":33,"real-time streaming analytics":32,"continuous integration\u002Fcontinuous delivery (ci\u002Fcd)":33},4,3,[35,36,37,38,39,40,41,42,43,44,45,46,47,48,49],"SQL","Linux","Shell Scripting","DevOps","Continuous Integration\u002FContinuous Delivery (CI\u002FCD)","Cloud Computing","Big Data","Real-time Streaming Analytics","Data Warehousing","ETL","Data Visualization Tools","Java","Python","Scala","Node.js",{"budgeting":33,"data lineage":32,"data quality":32,"data science":33,"data analytics":32,"data governance":32,"data engineering":32,"data integration":32,"machine learning":33,"data architecture":32,"delivery management":32,"metadata management":32,"strategy development":32,"business intelligence":32,"master data management":32,"database administration":32},[52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67],"Data Engineering","Data Architecture","Data Analytics","Business Intelligence","Database Administration","Data Integration","Data Science","Machine Learning","Data Governance","Master Data Management","Metadata Management","Data Quality","Data Lineage","Budgeting","Strategy Development","Delivery Management",1,1.5,{"id":71,"slug":72,"title":73,"raw_title":5,"is_featured":15,"company":74,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":77,"processed_country_iso_code_gmaps":79,"processed_home_office":23,"processed_salary_min":24,"processed_salary_max":80,"processed_salary_currency":26,"processed_salary_source":27,"processed_working_hours":81,"processed_employment_types":30,"processed_it_skills":82,"processed_it_skills_labels":83,"processed_job_expertise_skills":88,"processed_job_expertise_skills_labels":90,"max_cpc":68,"actual_cpc":69},85664,"international-transfer-dir-p4-lead-software-eng-job-level-director-ms-services-group-inc","International Transfer - Dir, P4, Lead Software Eng : Job Level - Director",{"name":75,"slug":76,"logo_url":5},"MS Services Group, Inc.","ms-services-group-inc",[78],"New York",[22],170000,[29],{"linux":33,"scala":33,"python":33,"ci\u002Fcd pipelines":33,"shell scripting":33,"monitoring tools":33,"automated testing":33},[47,84,48,36,85,86,87],"Shell scripting","CI\u002FCD pipelines","Automated testing","Monitoring tools",{"devops":33,"design patterns":33,"trading technology":33,"agile methodologies":33,"market data systems":33,"n-tier architecture":33,"settlements systems":33,"software engineering":32,"software architecture":32,"functional programming":33,"risk management systems":33,"service-oriented design":33,"financial services knowledge":89},2,[91,92,93,94,95,96,38,97,98,99,100,101,102],"Software engineering","Software architecture","Functional programming","Design patterns","n-tier architecture","Service-oriented design","Agile methodologies","Financial services knowledge","Trading technology","Risk management systems","Market data systems","Settlements systems",{"id":104,"slug":105,"title":106,"raw_title":5,"is_featured":15,"company":107,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":110,"processed_country_iso_code_gmaps":111,"processed_home_office":112,"processed_salary_min":113,"processed_salary_max":114,"processed_salary_currency":26,"processed_salary_source":27,"processed_working_hours":115,"processed_employment_types":30,"processed_it_skills":116,"processed_it_skills_labels":117,"processed_job_expertise_skills":130,"processed_job_expertise_skills_labels":131,"max_cpc":68,"actual_cpc":69},83759,"senior-marketing-data-operations-engineer-government-employees-insurance-company","Senior Marketing Data Operations Engineer",{"name":108,"slug":109,"logo_url":5},"Government Employees Insurance Company","government-employees-insurance-company",[78],[22],"hybrid",105000,215000,[29],{"r":32,"aws":32,"elt":32,"etl":32,"gcp":32,"git":32,"sql":32,"azure":32,"scala":32,"python":32,"rest apis":32,"snowflake":32,"confluence":32,"databricks":32,"sharepoint":32,"cloud devops":32},[118,47,48,35,119,120,44,121,122,123,124,125,126,127,128,129],"R","Snowflake","Databricks","ELT","Cloud DevOps","Azure","AWS","GCP","REST APIs","Git","SharePoint","Confluence",{"data analysis":32,"data engineering":32,"agile methodology":32,"cloud architecture":32,"marketing optimization":32,"data pipeline development":32},[132,133,134,135,136,52],"Marketing Optimization","Data Pipeline Development","Cloud Architecture","Agile Methodology","Data Analysis",{"id":138,"slug":139,"title":140,"raw_title":5,"is_featured":15,"company":141,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":144,"processed_country_iso_code_gmaps":145,"processed_home_office":23,"processed_salary_min":146,"processed_salary_max":147,"processed_salary_currency":26,"processed_salary_source":27,"processed_working_hours":148,"processed_employment_types":149,"processed_it_skills":150,"processed_it_skills_labels":151,"processed_job_expertise_skills":167,"processed_job_expertise_skills_labels":168,"max_cpc":68,"actual_cpc":69},66449,"2027-summer-analyst-software-engineering-rotational-program-new-york-city-td-securities-usa-llc","2027 Summer Analyst - Software Engineering Rotational Program (New York City)",{"name":142,"slug":143,"logo_url":5},"TD Securities (USA) LLC","td-securities-usa-llc",[78],[22],80000,100000,[29],"student",{"c#":89,"c++":89,"sql":33,"hdfs":89,"java":33,"sdlc":33,"hbase":89,"kafka":89,"nosql":89,"react":89,"scala":89,"spark":89,"hadoop":89,"nodejs":89,"python":33,"zeromq":89,"angular":89,"javascript":33,"restful apis":33},[152,153,154,35,155,156,157,46,48,47,158,159,160,161,162,163,164,165,166],"JavaScript","Angular","React","NoSQL","C++","C#","NodeJS","RESTful APIs","Hadoop","HBase","HDFS","Spark","Kafka","ZeroMQ","SDLC",{"big data analytics":89,"electronic trading":68,"algorithmic trading":68,"software engineering":33,"quantitative modeling":68,"financial products knowledge":68},[169,170,171,172,173,174],"Financial Products Knowledge","Software Engineering","Algorithmic Trading","Quantitative Modeling","Big Data Analytics","Electronic Trading",{"id":176,"slug":177,"title":178,"raw_title":5,"is_featured":15,"company":179,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":182,"processed_country_iso_code_gmaps":184,"processed_home_office":112,"processed_salary_min":185,"processed_salary_max":186,"processed_salary_currency":26,"processed_salary_source":27,"processed_working_hours":187,"processed_employment_types":30,"processed_it_skills":188,"processed_it_skills_labels":189,"processed_job_expertise_skills":215,"processed_job_expertise_skills_labels":216,"max_cpc":68,"actual_cpc":69},61421,"director-distinguished-engineer-enterprise-ai-platforms-mufg-bank-ltd","Director, Distinguished Engineer, Enterprise AI Platforms",{"name":180,"slug":181,"logo_url":5},"MUFG Bank, Ltd.","mufg-bank-ltd",[183],"Jersey City",[22],250000,350000,[29],{"aws":32,"sql":32,"java":32,"ci\u002Fcd":32,"kafka":33,"ragas":33,"scala":33,"spark":33,"crewai":33,"docker":32,"github":33,"python":32,"spring":33,"airflow":33,"fastapi":33,"graphql":33,"litellm":33,"node.js":33,"pytorch":33,"langchain":32,"langgraph":32,"sagemaker":33,"snowflake":33,"terraform":33,"databricks":33,"kubernetes":32,"tensorflow":33,"hugging face":33,"rest\u002Fopenapi":32,"vector search":33,"knowledge graphs":33,"metadata platforms":33,"document intelligence":33,"javascript\u002Ftypescript":33,"opensearch\u002Felasticsearch":33},[47,46,48,190,35,191,192,49,193,194,124,195,196,197,198,199,200,201,202,203,204,205,206,207,208,119,120,163,164,209,210,211,212,213,214],"JavaScript\u002FTypeScript","Spring","FastAPI","GraphQL","REST\u002FOpenAPI","Kubernetes","Docker","Terraform","GitHub","CI\u002FCD","LangChain","LangGraph","CrewAI","LiteLLM","Ragas","Hugging Face","PyTorch","TensorFlow","SageMaker","Airflow","OpenSearch\u002FElasticsearch","Vector search","Knowledge graphs","Metadata platforms","Document intelligence",{"finops":32,"privacy":32,"security":32,"compliance":32,"model risk":32,"monitoring":32,"resilience":32,"auditability":32,"data lineage":32,"data quality":32,"agent runtime":32,"ai governance":32,"cybersecurity":32,"microservices":32,"model routing":32,"orchestration":32,"policy-as-code":33,"data governance":32,"ai observability":32,"containerization":32,"cost optimization":32,"data architecture":32,"vendor evaluation":32,"llm gateway design":32,"metadata management":32,"security guardrails":32,"event-driven systems":32,"operational controls":32,"platform engineering":32,"provider abstraction":32,"evaluation frameworks":32,"production operations":32,"technical roadmapping":32,"regulated environments":32,"access control patterns":32,"enterprise architecture":32,"executive communication":32,"ai platform architecture":32,"cloud-native architecture":32,"infrastructure automation":32,"build-versus-buy decisions":32,"human-in-the-loop workflows":32,"rag and knowledge integration":32,"reusable engineering patterns":32,"structured\u002Funstructured data integration":32},[217,218,219,220,221,222,223,224,225,226,227,228,229,230,231,232,233,234,235,236,53,60,62,64,237,63,238,239,240,241,242,243,244,245,246,247,248,249,250,251,252,253,254,255,256],"Enterprise Architecture","Platform Engineering","AI Platform Architecture","LLM Gateway Design","Model Routing","Provider Abstraction","Agent Runtime","Orchestration","RAG and Knowledge Integration","AI Observability","Evaluation Frameworks","Security Guardrails","FinOps","Reusable Engineering Patterns","Cloud-Native Architecture","Microservices","Event-Driven Systems","Containerization","Infrastructure Automation","Production Operations","Structured\u002FUnstructured Data Integration","Access Control Patterns","Security","Resilience","Monitoring","Auditability","Cost Optimization","Operational Controls","Regulated Environments","Build-versus-Buy Decisions","Vendor Evaluation","Technical Roadmapping","Executive Communication","AI Governance","Model Risk","Compliance","Privacy","Cybersecurity","Human-in-the-Loop Workflows","Policy-as-Code",{"id":258,"slug":259,"title":260,"raw_title":5,"is_featured":15,"company":261,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":264,"processed_country_iso_code_gmaps":266,"processed_home_office":23,"processed_salary_min":267,"processed_salary_max":268,"processed_salary_currency":26,"processed_salary_source":27,"processed_working_hours":269,"processed_employment_types":30,"processed_it_skills":270,"processed_it_skills_labels":271,"processed_job_expertise_skills":299,"processed_job_expertise_skills_labels":300,"max_cpc":68,"actual_cpc":69},62766,"senior-data-engineer-001-prudential-ins-co-of-america","Senior Data Engineer",{"name":262,"slug":263,"logo_url":5},"Prudential Ins Co of America","prudential-ins-co-of-america",[265],"Newark",[22],104000,171600,[29],{"r":33,"aws":32,"sql":32,"java":33,"ci\u002Fcd":33,"kafka":33,"nosql":33,"scala":33,"devops":32,"lambda":33,"python":32,"splunk":33,"airflow":33,"ansible":33,"appflow":89,"autosys":89,"kinesis":33,"pyspark":32,"tableau":33,"testing":33,"aws glue":33,"ms excel":33,"power bi":33,"security":33,"graph dbs":89,"snowflake":33,"cloudwatch":33,"data lakes":32,"apache spark":32,"aws redshift":33,"unit testing":33,"data modeling":32,"cloudformation":33,"data ingestion":32,"step functions":33,"data protection":33,"shell scripting":33,"data warehousing":32,"data visualization":33,"data transformation":32,"integration testing":33,"functional automation":33},[47,118,35,46,48,272,273,84,124,274,119,275,164,209,276,277,278,279,280,281,282,283,284,285,286,287,38,199,155,288,289,43,290,291,292,293,294,239,295,296,297,298],"PySpark","Apache Spark","AWS Redshift","Kinesis","AppFlow","Autosys","Cloudwatch","Splunk","Tableau","Power BI","MS Excel","Ansible","CloudFormation","AWS Glue","Lambda","Step functions","Graph DBs","Data Modeling","Data Lakes","Data Ingestion","Data Transformation","Data Visualization","Data Protection","Testing","Unit Testing","Integration Testing","Functional Automation",{"sdlc":32,"data analysis":32,"cloud computing":32,"data engineering":32,"data architecture":32,"devops automation":32,"data pipeline development":32,"financial\u002Finsurance industry knowledge":89},[52,133,136,53,166,301,40,302],"DevOps Automation","Financial\u002FInsurance Industry Knowledge",{"id":304,"slug":305,"title":306,"raw_title":5,"is_featured":15,"company":307,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":310,"processed_country_iso_code_gmaps":311,"processed_home_office":23,"processed_salary_min":312,"processed_salary_max":313,"processed_salary_currency":26,"processed_salary_source":27,"processed_working_hours":314,"processed_employment_types":30,"processed_it_skills":315,"processed_it_skills_labels":316,"processed_job_expertise_skills":321,"processed_job_expertise_skills_labels":322,"max_cpc":68,"actual_cpc":69},63436,"cloud-aws-support-reliability-engineer-sre-federal-reserve-bank-of-new-york","Cloud AWS Support Reliability Engineer (SRE)",{"name":308,"slug":309,"logo_url":5},"Federal Reserve Bank of New York","federal-reserve-bank-of-new-york",[78],[22],160000,230000,[29],{"aws":32,"java":89,"jira":89,"scala":89,"docker":33,"python":33,"grafana":33,"terraform":32,"cloudwatch":33,"kubernetes":33,"gitlab ci\u002Fcd":32},[124,197,317,195,196,47,46,48,318,319,320],"GitLab CI\u002FCD","Grafana","CloudWatch","JIRA",{"devops":32,"agile-scrum":33,"sre principles":32,"incident management":33,"vulnerability management":33},[323,38,324,325,326],"SRE Principles","Incident Management","Vulnerability Management","Agile-Scrum",{"id":328,"slug":329,"title":330,"raw_title":5,"is_featured":15,"company":331,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":332,"processed_country_iso_code_gmaps":334,"processed_home_office":112,"processed_salary_min":335,"processed_salary_max":336,"processed_salary_currency":26,"processed_salary_source":27,"processed_working_hours":337,"processed_employment_types":30,"processed_it_skills":338,"processed_it_skills_labels":339,"processed_job_expertise_skills":346,"processed_job_expertise_skills_labels":347,"max_cpc":68,"actual_cpc":69},83618,"principal-marketing-data-ops-engineer-ii-government-employees-insurance-company","Principal Marketing Data Ops Engineer II",{"name":108,"slug":109,"logo_url":5},[333],"Bethesda",[22],115000,260000,[29],{"sql":32,"scala":33,"devops":33,"python":32,"statsig":89,"rest apis":32,"snowflake":32,"databricks":33,"etl\u002Felt pipelines":32,"azure data factory":89,"microsoft dynamics":89,"ai-assisted development tools":89,"cloud infrastructure (azure\u002Faws\u002Fgcp)":32},[47,48,35,119,120,340,341,38,126,342,343,344,345],"ETL\u002FELT Pipelines","Cloud Infrastructure (Azure\u002FAWS\u002FGCP)","Microsoft Dynamics","Statsig","Azure Data Factory","AI-assisted development tools",{"crm systems":33,"data engineering":32,"data warehousing":32,"marketing automation":33,"data quality monitoring":33,"event-driven architecture":33},[52,348,349,43,350,351],"Marketing Automation","CRM Systems","Event-Driven Architecture","Data Quality Monitoring",{"id":353,"slug":354,"title":355,"raw_title":5,"is_featured":15,"company":356,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":357,"processed_country_iso_code_gmaps":358,"processed_home_office":112,"processed_salary_min":359,"processed_salary_max":360,"processed_salary_currency":26,"processed_salary_source":27,"processed_working_hours":361,"processed_employment_types":30,"processed_it_skills":362,"processed_it_skills_labels":363,"processed_job_expertise_skills":378,"processed_job_expertise_skills_labels":379,"max_cpc":68,"actual_cpc":69},49186,"sr-database-engineer-amp-developer-security-data-mufg-bank-ltd","Sr. Database Engineer & Developer, Security Data",{"name":180,"slug":181,"logo_url":5},[183],[22],140000,203000,[29],{"sql":32,"java":33,"cribl":33,"kafka":33,"scala":33,"aws s3":33,"python":32,"splunk":33,"datadog":33,"elastic":33,"kinesis":33,"mongodb":33,"powerbi":33,"tableau":33,"bigquery":33,"dynamodb":33,"redshift":33,"snowflake":32,"databricks":33,"javascript":33,"postgresql":33,"cloud watch":33,"azure synapse":33,"aws cloudtrail":33,"azure event hub":33},[35,47,119,364,280,46,48,152,279,365,366,367,368,369,370,371,164,275,120,372,373,374,375,376,377],"PowerBI","Cribl","Elastic","Datadog","AWS CloudTrail","Cloud Watch","Azure Event Hub","AWS S3","BigQuery","Redshift","Azure Synapse","MongoDB","DynamoDB","PostgreSQL",{"ocsf":33,"otel":33,"compliance":33,"data privacy":33,"data modeling":32,"threat hunting":32,"data governance":32,"data engineering":32,"machine learning":33,"etl\u002Felt pipelines":32,"vendor management":33,"data normalization":32,"project management":33,"security frameworks":33,"detection engineering":32,"mitre attack framework":33,"security data analysis":32,"artificial intelligence":33},[52,289,380,340,60,381,382,383,384,385,386,59,387,252,388,389,390,391],"Data Normalization","Security Data Analysis","Threat Hunting","Detection Engineering","Vendor Management","Project Management","Artificial Intelligence","Data Privacy","Security Frameworks","MITRE Attack Framework","OCSF","OTEL",{"industry":393,"employment_type":404,"expertise_skills":410,"it_skills":465,"salary_currency":517,"processed_working_hours":519},[394,398,401],{"key":395,"label":396,"count":397},"financial services","Financial Services",6,{"key":399,"label":400,"count":89},"insurance","Insurance",{"key":402,"label":403,"count":89},"banking","Banking",[405,408],{"key":30,"label":406,"count":407},"PERMANENT",8,{"key":149,"label":409,"count":68},"STUDENT",[411,414,416,418,420,422,425,427,429,431,433,435,437,439,441,443,445,448,451,453,456,458,460,463],{"key":412,"label":52,"slug":412,"count":413},"data-engineering",5,{"key":415,"label":60,"slug":415,"count":33},"data-governance",{"key":417,"label":53,"slug":417,"count":33},"data-architecture",{"key":419,"label":63,"slug":419,"count":89},"data-quality",{"key":421,"label":64,"slug":421,"count":89},"data-lineage",{"key":423,"label":424,"slug":423,"count":89},"devops","Devops",{"key":426,"label":62,"slug":426,"count":89},"metadata-management",{"key":428,"label":133,"slug":428,"count":89},"data-pipeline-development",{"key":430,"label":136,"slug":430,"count":89},"data-analysis",{"key":432,"label":170,"slug":432,"count":89},"software-engineering",{"key":434,"label":59,"slug":434,"count":89},"machine-learning",{"key":436,"label":252,"slug":436,"count":89},"compliance",{"key":438,"label":235,"slug":438,"count":68},"infrastructure-automation",{"key":440,"label":383,"slug":440,"count":68},"detection-engineering",{"key":442,"label":239,"slug":442,"count":68},"security",{"key":444,"label":248,"slug":444,"count":68},"technical-roadmapping",{"key":446,"label":447,"slug":446,"count":68},"ai-platform-architecture","Ai Platform Architecture",{"key":449,"label":450,"slug":449,"count":68},"ai-governance","Ai Governance",{"key":452,"label":247,"slug":452,"count":68},"vendor-evaluation",{"key":454,"label":455,"slug":454,"count":68},"finops","Finops",{"key":457,"label":43,"slug":457,"count":68},"data-warehousing",{"key":459,"label":241,"slug":459,"count":68},"monitoring",{"key":461,"label":462,"slug":461,"count":68},"financial-services-knowledge","Financial Services Knowledge",{"key":464,"label":302,"slug":464,"count":68},"financialinsurance-industry-knowledge",[466,468,470,473,475,477,480,482,484,485,487,489,492,494,496,498,499,501,503,505,507,510,513,515],{"key":467,"label":47,"slug":467,"count":9},"python",{"key":469,"label":48,"slug":469,"count":9},"scala",{"key":471,"label":35,"slug":471,"count":472},"sql",7,{"key":474,"label":46,"slug":474,"count":397},"java",{"key":476,"label":119,"slug":476,"count":413},"snowflake",{"key":478,"label":479,"slug":478,"count":32},"aws","Aws",{"key":481,"label":120,"slug":481,"count":32},"databricks",{"key":483,"label":164,"slug":483,"count":32},"kafka",{"key":423,"label":424,"slug":423,"count":33},{"key":486,"label":37,"slug":486,"count":33},"shell-scripting",{"key":488,"label":279,"slug":488,"count":89},"splunk",{"key":490,"label":491,"slug":490,"count":89},"nodejs","Node.Js",{"key":493,"label":209,"slug":493,"count":89},"airflow",{"key":495,"label":197,"slug":495,"count":89},"terraform",{"key":497,"label":280,"slug":497,"count":89},"tableau",{"key":457,"label":43,"slug":457,"count":89},{"key":500,"label":275,"slug":500,"count":89},"kinesis",{"key":502,"label":118,"slug":502,"count":89},"r",{"key":504,"label":163,"slug":504,"count":89},"spark",{"key":506,"label":36,"slug":506,"count":89},"linux",{"key":508,"label":509,"slug":508,"count":89},"etl","Etl",{"key":511,"label":512,"slug":511,"count":89},"nosql","Nosql",{"key":514,"label":195,"slug":514,"count":89},"kubernetes",{"key":516,"label":278,"slug":516,"count":89},"cloudwatch",[518],{"key":26,"label":26,"count":9},[520],{"key":29,"label":29,"count":9},{"total":522,"jobs":523},0,[]]