Data Engineer

Senior Data Engineer III
Oakland, CA - Hybrid
6+ Month Contract 

Pay Range: 75 - 100/hr, W 2 (depending on experience) 

Onsite 1 day per week. 

• The Data Analytics and Insights team is seeking an experienced and talented Senior Data Engineer to join our growing team of analytics experts.
• As a key member of our team, you will play an essential role in the design, development, and maintenance of data pipelines, data products, and analytic products, which includes data applications, reports, and dashboards.
• We are looking for a proactive, detail-oriented, and motivated individual who can thrive in a fast-paced environment and help us scale our product development to meet our company's ever-evolving needs.
• The data engineer will collaborate with our cross-functional team, including solution architects, data pipeline engineers, data analysts, and data scientists on mission-critical initiatives and will ensure optimal delivery of analytic products.
• You will have a unique opportunity to be at the forefront of the utility industry and gain a comprehensive view of the nation’s most advanced smart grid.

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 necessary for business applications.
• Monitor and debug critical issues such as data staleness or data quality.
• Improve on the performance of data pipelines (latency, resource usage).
• Implement operational applications using Foundry Tools (Workshop, Quiver, and Slate).
• Implement data visualizations using Foundry Tools (Quiver and Contour).
• Maintain applications as usage grows and requirements change.
• Available for 7x24 operational support.
• Mentor junior data engineers.

Requirements:

• Bachelor's Degree in Computer Science, Engineering, or a related field.
• Minimum 5 years of experience as a data engineer.
• Hands-on experience with building data pipelines from ingestion to final object delivery.
• Experience with developing analytic applications, reports, or 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 use of Palantir Tools (Workshop, Quiver, Contour, and Slate).
• Experience with Tableau or PowerBi.