New

Senior Data Engineer

Spectraforce Technologies
United States, California, Oakland
Nov 02, 2026
Senior Data Engineer 6 months contract Oakland, CA Job Overview The Data Analytics and Insights team is seeking an experienced and talented Senior Data Engineer to join its growing team of analytics experts. As a key member of the team, you will play an essential role in designing, developing, and maintaining data pipelines, data products, and analytical products, including data applications, reports, and dashboards. The ideal candidate will be proactive, detail-oriented, and motivated, with the ability to thrive in a fast-paced environment and help scale product development to meet evolving business needs. The Data Engineer will collaborate with cross-functional teams, including solution architects, data pipeline engineers, data analysts, and data scientists, on mission-critical initiatives to ensure optimal delivery of analytical products. Job Responsibilities Work closely with Subject Matter Experts (SMEs) to design and develop data models, data pipelines, and front-end applications. Implement data transformations to derive new datasets or create ontology objects required for business applications. Monitor and troubleshoot critical issues, including data staleness and data quality. Optimize data pipeline performance, including latency and resource utilization. Develop operational applications using Palantir Foundry tools (Workshop, Quiver, and Slate). Develop data visualizations using Foundry tools (Quiver and Contour). Maintain applications as usage increases and business requirements evolve. Provide 24x7 operational support as required. Mentor junior data engineers. Minimum Qualifications Bachelor's degree in computer science, Engineering, or a related field. 5+ years of experience as a Data Engineer. Hands-on experience building data pipelines from data ingestion through final object delivery. Experience developing analytical applications, reports, and dashboards. Strong SQL skills and experience working with large datasets and complex data structures. Complete proficiency in Python. Complete proficiency in PySpark. Excellent problem-solving and analytical skills, with strong attention to detail. Experience with the Palantir Foundry platform and its tools: Workshop Quiver Contour Slate Experience with Tableau or Power BI.