Data Engineer (Python/SQL Focus) - PRIME, Hybrid - TS/SCI
Role details
Job location
Tech stack
Job description
We are looking for a Data Engineer to support government data analysis and analytic development. You will work with big data systems and complex structured/unstructured datasets to author data transforms and statistical analytics that ensure data quality and conformance. This role requires a strong attention to detail and the ability to handle technical complexities while working both independently and as part of a collaborative team to meet client objectives.
Requirements
Experience: Technical BS + 9 years of relevant experience (4 additional years of experience can substitute for a degree). Technical Skills: Strong Python skills for scripting and data manipulation, and experience with SQL databases (Postgres) including debugging. Core Competencies: Fluency in ETL processes (extraction, translation, and loading), data prep, and labeling. Data Governance: Expertise in defining and governing data schemas (XSD, ECS, SQL, or JSON Schema) to ensure normalization. Formatting: Familiarity with log formats such as JSON and XML. Desired Extras: Experience with Java/Maven, Docker/Kubernetes for model deployment, and prior experience in cyber or network security operations. Certifications: DoD IAT II or higher (Sec+, etc) required for consideration.
*Please note: Applicants may be required to complete a coding challenge during the interview process per customer requirements.
Clearance Requirements An active TS/SCI is required for consideration. Please note, you must have the required clearance for consideration; under-cleared applicants will not receive a response.