Data Platform Engineer IV

GAMA-1 Technologies is a technology business providing information assurance, information security, and enterprise technology solutions to the Federal Government. The Data Platform Engineer IV will implement and maintain AWS cloud-native data platforms, including ingestion pipelines, storage, integrations, APIs, automation, governance, and monitoring. The role translates Senior Architect designs into scalable, tested, production-ready solutions for scientific and environmental workloads.

Responsibilities:

• Implement cloud-based data platform components based on solution designs and architectural
• Implement cloud-based data platform components from solution designs and direction provided by the Senior Architect
• Build and maintain data ingestion and processing pipelines
• Implement and manage data storage layers
• Develop integrations with internal systems, external data sources, and third-party services
• Build APIs and services that expose data and platform capabilities to downstream consumers
• Automate deployment, orchestration, testing, and operations using infrastructure as code and CI/CD practices
• Implement data governance, metadata management, and lifecycle controls so federal and scientific data is trusted, discoverable, and well managed
• Build cloud-native data platforms on AWS that support scientific and environmental data workloads
• Add monitoring, logging, and alerting so pipelines are observable and reliable
• Give the Senior Architect feedback on feasibility and tradeoffs during implementation
• Write clean, tested, well-documented code and participate in code reviews
• Perform other duties and responsibilities as assigned

Requirements:

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
• 8+ years of professional software or data engineering experience, including building production data platforms
• Strong proficiency in Python and SQL
• Hands-on experience implementing solutions in a major cloud environment (AWS, Azure, or GCP)
• Experience building data ingestion and processing pipelines with workflow or orchestration tools
• Experience with cloud data storage technologies (object storage, data lakes, warehouses, databases)
• Experience implementing data governance, cataloging, and lifecycle management practices
• Experience delivering solutions in federal or other regulated environments, including security and compliance requirements (e.g., NIST, FedRAMP)
• Experience building APIs and system integrations
• Experience with infrastructure as code and CI/CD tooling
• Solid software engineering fundamentals: testing, version control (Git), code review, and documentation
• Ability to interpret architectural designs and implement them as scalable, production-ready solutions
• Strong communication skills and the ability to collaborate with architects and cross-functional teams
• Ability to obtain a security clearance
• Cloud certification (e.g., AWS Solutions Architect, Data Engineer, or DevOps Engineer)
• Experience with distributed processing frameworks (e.g., Spark, Dask, Flink) and streaming technologies (e.g., Kafka, Kinesis)
• Experience with containerization (Docker)
• Familiarity with modern data formats and table formats (e.g., Parquet, Avro, Iceberg, Delta Lake)
• Experience with scientific or geospatial data formats (e.g., NetCDF, HDF5, Zarr, GeoTIFF)
• Experience supporting Earth observation, weather, or environmental data platforms
• AWS certification (e.g., Solutions Architect, Data Engineer)
• Experience with data governance, metadata management, and data catalog tools
• Experience with monitoring and observability tools (e.g., CloudWatch, Prometheus, Grafana, Datadog)
• Background in cloud security, IAM, and cost optimization (FinOps)
• Experience working in scientific, regulated, or government environments