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DATA ENGINEER

Job

Kforce Federal Solutions

Washington, DC (In Person)

$175,000 Salary, Full-Time

Posted 2 days ago (Updated 15 hours ago) • Actively hiring

Expires 7/14/2026

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Job Description

Job Requirements Washington, DC Secret Polygraph not specified Career Level not specified $160,000 - $190,000 Job Description Data Pipeline Engineer (Palantir / Python / PySpark)
Location:
Washington, DC (Onsite)
Clearance:
TS/SCI Apply Now! or
Contact Recruiter:
Brenton Anderson Email:
banderson3@kforce.com
LinkedIn:
https://www.linkedin.com/in/myitrecruiterbrenton/ We are seeking a Data Pipeline Engineer to design, build, and maintain scalable data pipelines in support of mission-critical environments. This role focuses on working within the Palantir ecosystem to integrate, transform, and operationalize complex datasets while ensuring reliability, performance, and data integrity. This is a highly technical, hands-on position ideal for engineers with experience in distributed data processing, backend systems, and troubleshooting complex data workflows. Key Responsibilities Design, develop, and maintain scalable data pipelines supporting structured and unstructured data Build and optimize ETL/ELT workflows within Palantir Foundry or similar data platforms Develop data processing solutions using Python, PySpark, Spark, and/or Polars Debug and troubleshoot pipeline failures, data inconsistencies, and performance bottlenecks Build and integrate APIs and backend services to support data ingestion and transformation Analyze and trace network traffic and data flows to support system-level troubleshooting Reverse engineer backend processes and data services to resolve complex technical issues Implement monitoring, logging, and data pipeline reliability improvements Collaborate with cross-functional teams to enhance data workflows and platform usability Ensure data quality, governance, and consistency across data systems Required Qualifications Active TS/SCI clearance Strong proficiency in Python development Hands-on experience with PySpark, Apache Spark, and/or Polars for distributed data processing Experience building and maintaining data pipelines and ETL/ELT workflows [
Submittal:
...- Palantir | Outlook] Experience working with Palantir Foundry or similar data platforms [
Submittal:
...- Palantir | Outlook] Experience developing and debugging APIs, endpoints, and backend services Ability to trace and analyze network traffic and system interactions Experience troubleshooting complex, production-level data issues Strong understanding of data structures, data modeling, and pipeline architecture Experience with Git/version control and CI/CD practices Preferred Qualifications Experience working in high-reliability or production-critical environments Knowledge of distributed systems and large-scale data processing frameworks Experience with streaming pipelines (Kafka, Spark Streaming, etc.) Familiarity with cloud platforms (AWS or similar) Experience with data visualization or analytics tools Background in software engineering or backend systems development Education Bachelor's degree in Computer Science, Engineering, or related field Equivalent hands-on experience may be considered Why This Role Work directly with cutting-edge data platforms and large-scale pipelines Solve complex, real-world data engineering challenges Highly technical environment with strong engineering ownership Stable, long-term onsite work in the DC market group id: kforcecx Log in to view the job poster Apply now