Senior Data Engineer — Palantir/Databricks | DoD Clearance

INTELLITECH LLC; Fort Belvoir (VA); Hybrid; USD 120,000 - 170,000; Full time

Benefits offered by this job

401(k)

Competitive salary

Dental insurance

Flexible schedule

Health insurance

Opportunity for advancement

Paid time off

Training & development

Vision insurance

Job summary

IntelliTech LLC is seeking a Senior Data Engineer with strong Palantir Foundry experience and an active DoD clearance to support mission-critical data integration and analytics in secure federal environments.

The ideal candidate will have hands-on Python, SQL, and experience with enterprise analytics platforms, enabling end-to-end data solutions from ingestion to visualization across BI tools.

Qualifications

• Bachelor's degree in a technical discipline and 4+ years of relevant experience, or Master's with 2+ years.
• Strong experience building data pipelines, ETL/ELT workflows, and data integration in enterprise environments.
• Hands-on Python and SQL experience.
• Experience with Databricks and Palantir in enterprise analytics environments.

Responsibilities

• Design, develop, and maintain scalable data pipelines ingesting data from diverse sources.
• Build data integration workflows across structured and unstructured data, including APIs and cloud storage.
• Enable analytics by preparing curated datasets and integrating with BI tools like Databricks and Palantir.
• Collaborate with analysts and engineers to refine requirements and deliver data products for mission needs.
• Document designs, data flows, and engineering processes for maintainability.

Skills

Python

SQL

Data pipelines

ETL/ELT

Git

Agile

Communication

Education

Bachelor's degree in Computer Science or related field

Master's degree preferred

Tools

Databricks

Palantir Foundry

Job description

IntelliTech LLC is seeking a Senior Data Engineer with strong Palantir Foundry experience and an active DoD clearance to support mission-critical data integration and analytics in secure federal environments.

The ideal candidate will have hands-on Python, SQL, and experience with enterprise analytics platforms, enabling end-to-end data solutions from ingestion to visualization across BI tools.