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Data Platform Engineer IV

Select Source Solutions United States

Human Resources Services · 2-10 employees

4 d ago
Remote Senior (5-10 yrs) Full-time United States
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About the role

The Data Platform Engineer IV will design and implement scalable ingestion, processing, and storage pipelines for complex scientific and geospatial datasets. This role involves translating architectural designs into production-ready code while ensuring system reliability and data reproducibility.

What they look for

Cloud Data Platforms Pipeline Development Automation Data Engineering Geospatial Data Earth Observation Data API Development Data Ingestion Data Processing System Architecture Production Code Data Provenance Data Quality Reproducibility Cloud Computing

Requirements

The ideal candidate possesses hands-on expertise in cloud data platforms, pipeline automation, and the management of large-scale scientific data. A strong understanding of data versioning, provenance, and quality standards is essential for success in this senior engineering position.

Full description

The Data Platform Engineer IV will join the Product and Services team as a senior, hands-on engineer, building cloud-based data platforms that support federal scientific and environmental programs in a remote work environment. This is not a generic data engineering role. You will design ingestion and processing pipelines, storage, integrations, APIs, and automation for scientific, geospatial, and Earth observation data, working with the large, complex, and often messy datasets that researchers and program teams depend on.

Working closely with the Senior Architect, this role translates solution designs into scalable, production-ready capabilities, writing production code and taking work from design through deployment. The ideal candidate brings hands-on expertise in cloud data platforms, pipeline development, and automation, along with real experience handling scientific data. You understand how these datasets are structured, how they are produced and versioned, and why provenance, quality, and reproducibility matter.

Success in this role means delivering production-grade platform capabilities that faithfully realize the architect's designs, run reliably with minimal intervention, and earn the trust of architects, data teams, scientists, and stakeholders.