Data Platform Engineer IV

Select Source Solutions; Arlington (VA); Remote; USD 115,000 - 150,000; Full time

Job summary

Select Source Solutions is seeking a Data Platform Engineer IV to join the Product and Services team in a remote environment. You will build cloud-based data platforms for federal scientific programs, designing ingestion, storage, APIs, and automation for geospatial and Earth observation data, handling complex datasets with provenance and reproducibility in mind.

The role requires translating designs into scalable, production-ready capabilities, delivering reliable platform services with minimal

Qualifications

• Hands-on experience with scientific, geospatial, or Earth observation data.
• Experience delivering production-grade cloud data platforms.
• Ability to translate designs into scalable, production-ready capabilities.

Responsibilities

• Design ingestion and processing pipelines, storage, integrations, APIs, and automation.
• Work from design through deployment with production code.
• Collaborate with scientists and architects to ensure data quality and provenance.

Skills

Cloud data platforms

Pipeline development

Automation

Geospatial data

Earth observation data

Tools

Python

SQL

Terraform

Airflow

Job 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.

This position requires the individual to undergo a badging process. Due to the deliverables on this contract, timing to get the individual onboarded is important and can be lengthy. In order to anticipate the timing of your badging, if offered the position, can you please confirm if you are a U.S. Citizen?*

Do you have hands-on professional experience working with scientific, geospatial, environmental, or Earth observation data?*

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Describe a project where you applied AI or ML to scientific or Earth observation data. What was the dataset and what did you build?*

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