Data Engineer at M1 Technology

Herndon, Virginia, United States -

Full Time

Start Date

Immediate

Expiry Date

18 Jun, 26

Salary

0.0

Posted On

20 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

ETL, Python, Data Pipelines, Data Extraction, Data Enrichment, Data Catalog, Data Governance, PySpark, SQL, JSON, XML, Cloud Storage, RDBMS, HTTPS, Data Ingestion, Analytics Platforms

Industry

IT Services and IT Consulting

Description

We are seeking an experienced Data Engineer to develop ETL pipelines. 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 Key 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. Required Qualifications: 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.). Desired Skills: 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. Why Join Us? Be part of a mission-focused team delivering critical insights to key decision-makers. You’ll work in a dynamic, cloud-based environment with cutting-edge tools and the opportunity to shape how data fuels intelligence operations. M1 Technology is an equal opportunity employer and values diversity. We do not discriminate in hiring on the basis of race, color, religion, sex, national origin, age, disability, veteran status, or any other characteristic protected by federal, state, or local law.

Responsibilities

The Data Engineer will be responsible for maintaining and expanding the data pipeline that supports critical national security missions by developing ETL pipelines. Key tasks include maintaining data extraction pipelines, enriching datasets, integrating data catalog capabilities, and troubleshooting ingestion issues.