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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
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