Job Summary:

We are hiring an experienced Data Engineer to architect, build, and optimize scalable data pipelines and analytics solutions. The ideal candidate must have hands-on experience with data integration frameworks, data modeling, and distributed data processing, along with a Databricks and/or Palantir certification.


This Position is a hybrid work environment / 95% Remote – Candidate must live within 2 hours of a government Facility.

Key Responsibilities:

• Design and implement robust, scalable data pipelines using modern data engineering frameworks.
• Build and manage ETL/ELT processes, data lakes, and data warehouses.
• Ensure high performance and availability of enterprise data platforms.
• Collaborate with data scientists and business analysts to deliver analytics-ready data.
• Support data governance, quality, and security compliance.
• Maintain presence on the program for a minimum of one year.

Minimum Qualifications:

• Bachelor’s degree in Science, Math, Engineering, or Information Systems.
• 7+ years of data engineering experience in production environments.
• Databricks and/or Palantir certification (required).
• Proficient in Python, SQL, and Spark.
• Strong understanding of cloud-based data platforms (AWS, Azure, or GCP).
• Demonstrated hands-on coding experience in building and deploying data pipelines.

Preferred Qualifications:

• Experience with Delta Lake, Apache Airflow, or Kafka.
• Familiarity with data privacy and compliance frameworks (e.g., GDPR, HIPAA).