Senior Data Engineer
About The Position
Pivot Point Solutions is seeking a Senior Data Engineer to develop and deliver enterprise data and analytics solutions. The role focuses on designing, building, and maintaining scalable data pipelines, data models, analytical applications, and reporting solutions using Palantir Foundry and related technologies. The engineer will work with solution architects, engineers, analysts, data scientists, and business stakeholders to turn complex datasets into reliable, actionable solutions for utility operations. The position is based in Oakland, California, and is hybrid. The contract length is 12 months or more, with compensation of $37.87–$65.05 per hour.
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent relevant experience.
- At least 5 years of hands-on data engineering experience, including building and maintaining production data pipelines.
- Advanced proficiency in SQL, Python, and PySpark, including work with large datasets and complex data transformations.
- Practical experience developing solutions within Palantir Foundry, including data modeling, pipelines, and application development.
- Experience creating analytical applications, dashboards, or reporting solutions that support business decision-making.
- Strong problem-solving skills and ability to collaborate with technical teams and business stakeholders in a fast-paced environment.
- Ability to support critical production data systems, including participation in 24/7 operational support coverage as needed.
Nice To Haves
- Hands-on experience with Palantir Workshop, Quiver, Contour, and Slate.
- Experience developing ontology-based applications and complex data products in Foundry.
- Experience with Tableau or Power BI and enterprise data visualization.
- Experience supporting utility, energy, smart grid, or other large-scale operational data environments.
Responsibilities
- Design, develop, and maintain scalable data pipelines for enterprise analytics and operational applications.
- Build end-to-end data solutions from source ingestion through transformation, modeling, and delivery.
- Develop and maintain data models and ontology objects within Palantir Foundry.
- Use Python, PySpark, and SQL to transform, process, and analyze large, complex datasets.
- Develop operational applications using Palantir Foundry tools such as Workshop, Quiver, and Slate.
- Create visualizations, dashboards, and analytical products using Quiver, Contour, and other reporting tools.
- Work with business subject matter experts to translate operational requirements into functional data solutions.
- Monitor pipeline performance, data quality, freshness, and reliability.
- Troubleshoot data processing issues, pipeline failures, and application performance problems.
- Optimize data workflows for processing efficiency, latency, and resource utilization.
- Maintain and enhance existing data applications as business needs and usage evolve.
- Partner with architects, analysts, data scientists, and engineering teams to deliver integrated analytics solutions.
- Support testing, validation, deployment, and ongoing maintenance of data products.
- Provide operational support for critical data applications, including participation in 24/7 support coverage as required.
- Mentor junior data engineers and contribute to engineering standards and best practices.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
