Data Engineer - ETL, Python/SQL, Palantir, TS/SCI

Systech Federal; Chantilly (VA); On-site; USD 110,000 - 150,000; Full time

Job summary

Systech Federal is seeking a skilled Data Engineer to extract, transform, and load data from diverse sources. You will design and optimize ETL workflows, implement data transformations, and ensure data quality across platforms.

The role requires strong Python and SQL abilities, Palantir experience, and a collaborative approach to supporting analytics teams. Expect a technically engaging environment with data-centric challenges.

Qualifications

• 3+ years of data engineering experience.
• Strong Python scripting and SQL skills.
• Experience integrating data from APIs, databases, and file systems.
• Experience with Palantir or similar ETL platforms.
• Strong analytical and problem-solving abilities.
• Excellent teamwork and communication.

Responsibilities

• Write robust Python and SQL scripts to automate data processing tasks.
• Integrate data from diverse sources into centralized systems.
• Implement data transformations, enrichment, and modeling workflows to ensure data quality and usability.
• Ensure data structures are optimized for performance and scalability.
• Provide technical guidance for Palantir tools across teams.
• Implement data quality checks, validation, and monitoring mechanisms.
• Integrate data from diverse sources into centralized systems.
• Maintain and improve data quality through validation and cleansing processes.

Skills

Python

SQL

Palantir

ETL

Data integration

Data quality

Troubleshooting

Education

Bachelor's degree

Tools

Palantir

Airflow

Apache Spark

Hadoop

AWS

Job description

Systech Federal is seeking a skilled Data Engineer to extract, transform, and load data from diverse sources. You will design and optimize ETL workflows, implement data transformations, and ensure data quality across platforms.

The role requires strong Python and SQL abilities, Palantir experience, and a collaborative approach to supporting analytics teams. Expect a technically engaging environment with data-centric challenges.