Note: The job is a remote job and is open to candidates in USA. 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
Skills
- 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
Benefits
- Health insurance coverage
- Life and disability insurance
- 401(k) savings plan
- Training and career development opportunities
- Paid holidays
- Paid time off (PTO - to cover vacation, illness or disability, appointments, emergencies or other situations that require time off from work)
- Remote work environment
- Opportunities for career advancement throughout employment
Company Overview