Data Engineer

M1 Technology • McLean, VA

7d

About The Position

M1 Technology, LLC is a technology consulting firm specializing in delivering software systems that support our clients’ mission needs. We partner with federal and commercial organizations to provide high-impact technology solutions and exceptional service. Founded in 2016, M1 Technology’s vision is simple and unwavering: connect mission-first individuals to deliver meaningful outcomes for government clients while creating an exceptional home for our employees. We are seeking an experienced Data Engineer. This role is responsible for maintaining and expanding the data pipeline that fuels critical national security missions. The ideal candidate will have a deep background in Python-based data workflows and experience working in classified IC environments. Clearance Requirement : TS/SCI with Polygraph

Requirements

• Bachelor’s degree in Computer Science, Engineering, or related field; or equivalent experience.
• 5+ years of software development experience with at least one of: Python, Java, C#, JavaScript, or Ruby (Python strongly preferred).
• 5+ years of experience working with databases and applications in classified IC environments.
• Extensive experience designing and maintaining SQL-based data systems and crafting complex queries.
• Proficiency in generating and interpreting technical documentation (e.g., ERDs, schemas, architecture diagrams).
• In-depth knowledge of IC cloud environments and C2E cloud services.
• Experience integrating data systems with visualization and analytics platforms (Tableau, PowerBI, Kibana, Grafana, etc.).

Nice To Haves

• Familiarity with IC metrics and assessments: alignment with intelligence needs, responsiveness, and collection discipline utilization.
• Experience building tools to assess and visualize large-scale datasets.
• Proven ability to design and implement secure APIs for data access and integration.

Responsibilities

• Maintain and execute data extraction pipelines to transport data in and out of multiple environments.
• Enrich existing datasets using external and under-represented data sources.
• Integrate and manage data catalog capabilities for discoverability and governance.
• Troubleshoot and resolve issues related to data ingestion, integration, and processing.
• Develop and enhance scripts and tools using Python and PySpark to process structured (SQL) and unstructured (JSON, XML) data.
• Interface with cloud-based storage solutions (object repositories, RDBMS) to support analytics platforms.
• Manage data acquisition via secure HTTPS requests, direct DB connections, and standalone file transfers.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior