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DELIVERING THE DIGITAL FUTURE™
Field Data Platform Engineer
Location
District of Columbia
Posted
102 days ago
Salary
$60K - $180K / year
Seniority
Senior
Job Description
Field Data Platform Engineer
M9 Solutions
• Configure and maintain reliable data feeds from source systems into a data platform. • Set up and manage data connections, pipelines, and synchronization between source systems and data assets. • Design and implement data transformations and derived datasets using the platform’s code based and code less tooling (including Spark-based transforms and Contour). • Model operational data, including defining objects, relationships, and actions that reflect real-world entities and workflows. • Build and configure applications (e.g., Workshop, Slate, Object Explorer, and other Ontology-backed apps) to answer concrete operational questions. • Leverage AI-powered capabilities to automate workflows, surface insights, and support user decision-making. • Monitor build pipelines and Ontology-backed applications, investigate failures or degraded performance, and drive fixes across the stack. • Work iteratively with subject matter experts to prototype, test, and refine data-driven applications and workflows. • Collaborate with central platform/product teams to troubleshoot complex issues, understand platform behavior, and contribute field feedback into product evolution.
Job Requirements
- Active Secret security clearance.
- Strong engineering or quantitative background in fields such as Computer Science, Software Engineering, Mathematics, Physics, or Data Science (or equivalent practical experience).
- Proficiency in programming or scripting languages commonly used within the platform, such as Python (including PySpark, Pandas) and SQL.
- Understanding of data modeling and object-based / ontology-driven design, including representing operational entities and workflows as objects, relationships, and actions.
- Familiarity with distributed data processing frameworks (Spark or similar) and version-controlled development practices.
- Experience working with AI-enabled data or decision support tools (agents, copilots, or similar).
- Ability to collaborate effectively with technical and non-technical stakeholders, including field operators and mission owners.
- Comfort operating in rapidly changing environments with evolving requirements and frequent iteration with end users.
- Demonstrated ability to learn new platform features quickly, work independently, and make sound technical decisions with limited supervision.
- Proven track record of clear customer communication, including gathering requirements, providing execution updates, and troubleshooting in high-stakes environments.
Benefits
- M9 Benefits - https://m9solutions.com/why-join-m9/#our-benefits
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