Data Engineer for DoD Data Pipelines (Secret Clearance)

LMI Government Consulting; Tysons (VA); Hybrid; USD 110,000 - 130,000; Full time

Job summary

LMI Government Consulting seeks a Data Engineer to develop, test, maintain, and augment data pipelines and databases for a DoD supply chain risk program. An active Secret Clearance is required. The role is based near Tysons, VA, with on-site support expected in the DC metro area.

Responsibilities include building PySpark pipelines, coordinating with SMEs and frontend developers, and integrating external data via APIs. Strong analytics and problem solving are essential.

Qualifications

• Bachelor’s degree in Computer Science or related field.
• 3–10 years of data engineering experience.
• Experience with Agile-based development.
• Proficient in Python, Spark, and notebooks.
• Databricks or similar environment experience.
• Active DoD Secret clearance (Top Secret desired).
• Based in the Washington, DC metro area or commutable for on-site support.

Responsibilities

• Set up segmented databases to control access to datasets and data products.
• Build data pipelines in PySpark with testing, validation, automation, and version control.
• Coordinate with SMEs and front-end developers to generate data tables for UI.
• Develop code to pull data from APIs into the client environment.
• Engage with partners to understand data holdings and data usage agreements.
• Self-starter who works well in a team environment.

Skills

Agile

Python

Spark

Notebooks

Education

Bachelor's degree in Computer Science or related field

Tools

Databricks

Job description

LMI Government Consulting seeks a Data Engineer to develop, test, maintain, and augment data pipelines and databases for a DoD supply chain risk program. An active Secret Clearance is required. The role is based near Tysons, VA, with on-site support expected in the DC metro area.

Responsibilities include building PySpark pipelines, coordinating with SMEs and frontend developers, and integrating external data via APIs. Strong analytics and problem solving are essential.