Field Data Platform Engineer

M9 Solutions is seeking a Field Data Platform Engineer to work remotely in support of a government contract for a client located in Washington, DC. An active Secret clearance is required.

Responsibilities

• 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.

Required Skills and Qualifications

• 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.

M9 Solutions is seeking a Field Data Platform Engineer to work remotely in support of a government contract for a client located in Washington, DC. An active Secret clearance is required.

Responsibilities

• 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.

Required Skills and Qualifications

• 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.