Gravity IT Resources
Staff Technical Data Engineer
Gravity IT Resources, San Diego, California, United States, 92189
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Contract: 12+ Months Location: San Diego, CA or Mountain View, CA Job Overview We are looking for a hands-on
Staff Technical Data Engineer who will support the Identity Analytics team. This role focuses on designing and maintaining performant data pipelines for high-volume user analytics. As a core member of the team, you’ll own workflows that transform raw behavioral data into decision-ready insights. This is a contract role starting as backfill coverage with the potential for full-time conversion. Responsibilities Build and manage PySpark-based ETL pipelines Process large-scale user and clickstream data in AWS and data lake environments Collaborate closely with engineers and scientists to define and meet analytics needs Own execution of data products that enable experimentation and insight generation Ensure scalable and reliable delivery of high-quality data pipelines Required Skills Python (Advanced) SQL (Advanced) PySpark & Spark SQL AWS (Athena, Redshift, core services) Strong cross-functional collaboration and documentation abilities Qualifications 8+ years of technical analytics/data engineering experience Prior experience with user analytics, event/clickstream data Degree in Computer Science, Engineering, or related quantitative field Bonus: Familiarity with Tableau, Qlik Sense, or SaaS/B2B analytics use cases To Apply for this Job Click Here #J-18808-Ljbffr
Contract: 12+ Months Location: San Diego, CA or Mountain View, CA Job Overview We are looking for a hands-on
Staff Technical Data Engineer who will support the Identity Analytics team. This role focuses on designing and maintaining performant data pipelines for high-volume user analytics. As a core member of the team, you’ll own workflows that transform raw behavioral data into decision-ready insights. This is a contract role starting as backfill coverage with the potential for full-time conversion. Responsibilities Build and manage PySpark-based ETL pipelines Process large-scale user and clickstream data in AWS and data lake environments Collaborate closely with engineers and scientists to define and meet analytics needs Own execution of data products that enable experimentation and insight generation Ensure scalable and reliable delivery of high-quality data pipelines Required Skills Python (Advanced) SQL (Advanced) PySpark & Spark SQL AWS (Athena, Redshift, core services) Strong cross-functional collaboration and documentation abilities Qualifications 8+ years of technical analytics/data engineering experience Prior experience with user analytics, event/clickstream data Degree in Computer Science, Engineering, or related quantitative field Bonus: Familiarity with Tableau, Qlik Sense, or SaaS/B2B analytics use cases To Apply for this Job Click Here #J-18808-Ljbffr