Enterprise Data Engineer
$150,000–$200,000 year
On-siteChantilly, Virginia, United States
Job Summary
Write robust and efficient Python and SQL scripts to automate data processing tasks and integrate data from diverse sources, including databases, APIs, and flat files, into centralized systems. Implement data transformations, enrichment, and modeling workflows to ensure data quality, while maintaining structures optimized for performance and scalability. Provide technical guidance on Palantir tools and establish validation mechanisms to guarantee dataset accuracy and reliability. This role supports mission organizations by turning data into intelligence for immediate operational needs within a national security environment.
Required Qualifications
- Active TS/SCI with Polygraph Clearance (applicable to this customer)
- 3+ years of experience in data engineering
- Strong proficiency in scripting and programming with Python
- Expertise in working with SQL for data querying, transformation, and optimization
- Experience with data integration from diverse sources such as APIs, relational databases, and file systems
- Strong analytical and problem-solving skills with attention to detail
- Excellent communication and teamwork skills to collaborate with technical and business teams
Desired Qualifications
- Bachelor's degree in Computer Science, Data Engineering, or a related field
- Hands-on experience with Palantir
- Experience with cloud platforms(e.g., AWS, Azure, GCP) and big data technologies (e.g., Apache Spark, Hadoop)
- Familiarity with data orchestration toolssuch as Apache Airflow, Prefect, or similar
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