{"schemaVersion":"jobsearcher.job.v1","id":"d507e5d2cea3b012b785e405","url":"https://jobsearcher.com/jobs/d507e5d2cea3b012b785e405","canonicalUrl":"https://jobsearcher.com/jobs/d507e5d2cea3b012b785e405","title":"Data Platform Engineer IV","description":"The remote Data Platform Engineer IV implements and maintains cloud-native AWS data platforms for scientific and environmental workloads. You will build the pipelines, storage, integrations, APIs, automation, governance, and monitoring that move scientific, geospatial, and Earth observation data from source to the researchers and programs that rely on it, working from the Senior Architect's designs while writing clean, tested code and providing feedback on feasibility and trade-offs.Responsibilities include:Build cloud-native data platforms on AWS that support scientific and environmental data workloadsBuild and maintain ingestion and processing pipelines for large, complex scientific datasets, including Earth observation, weather, and environmental dataImplement storage layers designed for scientific data formats and access patterns (e.g., NetCDF, HDF5, Zarr, GeoTIFF)Implement data governance, metadata management, and lifecycle controls so federal and scientific data is trusted, discoverable, and well managed, with attention to provenance and reproducibilityDevelop integrations with internal systems, external scientific data sources, and third‑party servicesBuild APIs and services that expose data and platform capabilities to scientists, analysts, and downstream systemsWork with scientists and data users to understand how data is produced and consumed, and make sure the platform serves their needsImplement cloud‑based data platform components from solution designs and direction provided by the Senior ArchitectAutomate deployment, orchestration, testing, and operations using infrastructure as code and CI/CD practicesAdd monitoring, logging, and alerting so pipelines are observable and reliableGive the Senior Architect feedback on feasibility and trade‑offs during implementationWrite clean, tested, well‑documented code and participate in code reviewsPerform other duties and responsibilities as assignedWhat You Will Bring\r\nBasic QualificationsBachelor's degree in Computer Science, Engineering, a physical, environmental, or Earth science, or a related field, or equivalent practical experience8+ years of professional software or data engineering experience, including building production data platformsDemonstrated experience building pipelines or platforms for scientific, geospatial, environmental, or Earth observation dataHands‑on experience with scientific or geospatial data formats (e.g., NetCDF, HDF5, Zarr, GeoTIFF)Strong proficiency in Python and SQLHands‑on experience implementing solutions in a major cloud environment, with AWS strongly preferredExperience building data ingestion and processing pipelines with workflow or orchestration toolsExperience with cloud data storage technologies (object storage, data lakes, warehouses, databases)Experience implementing data governance, cataloging, and lifecycle management practicesExperience delivering solutions in federal or other regulated environments, including security and compliance requirements (e.g., NIST, FedRAMP)Experience building APIs and system integrationsExperience with infrastructure as code and CI/CD toolingSolid software engineering fundamentals: testing, version control (Git), code review, and documentationAbility to interpret architectural designs and implement them as scalable, production‑ready solutionsStrong communication skills and the ability to collaborate with architects, scientists, and cross‑functional teamsPreferred QualificationsExperience supporting Earth observation, weather, climate, or environmental data platformsExperience working in scientific research, federal science, or government environmentsExperience with distributed processing frameworks (e.g., Spark, Dask, Flink) and streaming technologies (e.g., Kafka, Kinesis)Familiarity with modern data and table formats (e.g., Parquet, Avro, Iceberg, Delta Lake)Experience with data governance, metadata management, and data catalog toolsExperience with monitoring and observability tools (e.g., CloudWatch, Prometheus, Grafana, Datadog)Background in cloud security, IAM, and cost optimization (FinOps)Experience with containerization (Docker)AWS certification (e.g., Solutions Architect, Data Engineer, or DevOps Engineer)#J-18808-Ljbffr","company":"Select Source Solutions","rawCompany":"select source solutions","city":"Henrico","state":"VA","isRemote":false,"isActive":false,"createdAt":"2026-11-04T02:09:35.592Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"513210","title":"Software 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You will build the pipelines, storage, integrations, APIs, automation, governance, and monitoring that move scientific, geospatial, and Earth observation data from source to the researchers and programs that rely on it, working from the Senior Architect's designs while writing clean, tested code and providing feedback on feasibility and trade-offs.Responsibilities include:Build cloud-native data platforms on AWS that support scientific and environmental data workloadsBuild and maintain ingestion and processing pipelines for large, complex scientific datasets, including Earth observation, weather, and environmental dataImplement storage layers designed for scientific data formats and access patterns (e.g., NetCDF, HDF5, Zarr, GeoTIFF)Implement data governance, metadata management, and lifecycle controls so federal and scientific data is trusted, discoverable, and well managed, with attention to provenance and reproducibilityDevelop integrations with internal systems, external scientific data sources, and third‑party servicesBuild APIs and services that expose data and platform capabilities to scientists, analysts, and downstream systemsWork with scientists and data users to understand how data is produced and consumed, and make sure the platform serves their needsImplement cloud‑based data platform components from solution designs and direction provided by the Senior ArchitectAutomate deployment, orchestration, testing, and operations using infrastructure as code and CI/CD practicesAdd monitoring, logging, and alerting so pipelines are observable and reliableGive the Senior Architect feedback on feasibility and trade‑offs during implementationWrite clean, tested, well‑documented code and participate in code reviewsPerform other duties and responsibilities as assignedWhat You Will Bring\r\nBasic QualificationsBachelor's degree in Computer Science, Engineering, a physical, environmental, or Earth science, or a related field, or equivalent practical experience8+ years of professional software or data engineering experience, including building production data platformsDemonstrated experience building pipelines or platforms for scientific, geospatial, environmental, or Earth observation dataHands‑on experience with scientific or geospatial data formats (e.g., NetCDF, HDF5, Zarr, GeoTIFF)Strong proficiency in Python and SQLHands‑on experience implementing solutions in a major cloud environment, with AWS strongly preferredExperience building data ingestion and processing pipelines with workflow or orchestration toolsExperience with cloud data storage technologies (object storage, data lakes, warehouses, databases)Experience implementing data governance, cataloging, and lifecycle management practicesExperience delivering solutions in federal or other regulated environments, including security and compliance requirements (e.g., NIST, FedRAMP)Experience building APIs and system integrationsExperience with infrastructure as code and CI/CD toolingSolid software engineering fundamentals: testing, version control (Git), code review, and documentationAbility to interpret architectural designs and implement them as scalable, production‑ready solutionsStrong communication skills and the ability to collaborate with architects, scientists, and cross‑functional teamsPreferred QualificationsExperience supporting Earth observation, weather, climate, or environmental data platformsExperience working in scientific research, federal science, or government environmentsExperience with distributed processing frameworks (e.g., Spark, Dask, Flink) and streaming technologies (e.g., Kafka, Kinesis)Familiarity with modern data and table formats (e.g., Parquet, Avro, Iceberg, Delta Lake)Experience with data governance, metadata management, and data catalog toolsExperience with monitoring and observability tools (e.g., CloudWatch, Prometheus, Grafana, Datadog)Background in cloud security, IAM, and cost optimization (FinOps)Experience with containerization (Docker)AWS certification (e.g., Solutions Architect, Data Engineer, or DevOps Engineer)#J-18808-Ljbffr","datePosted":"2026-11-04T02:09:35.592Z","dateModified":"2026-11-04T02:09:35.592Z","hiringOrganization":{"@type":"Organization","name":"Select Source Solutions","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Henrico","addressRegion":"VA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"d507e5d2cea3b012b785e405"},"url":"https://jobsearcher.com/jobs/d507e5d2cea3b012b785e405"}}