JobsStaff Analytics Engineer
Job description
Rivian is seeking a passionate and data-driven Staff Analytics Engineer to join the People Systems Team. This role focuses on delivering impactful insights that drive strategic decision-making across the organization. The ideal candidate will bridge complex business challenges with data-driven solutions, leveraging their expertise in data warehousing, SQL, and Python. A significant aspect of the position involves spearheading the migration towards a next-generation analytical toolset to enhance efficiency and analytical capabilities.
Requirements
- Bachelor’s Degree in a quantitative field such as Computer Science, Engineering, or Statistics.
- 6+ years of proven experience in data engineering or analytics engineering roles.
- Deep proficiency in writing complex and optimized SQL queries.
- Strong ability to write clean and scalable Python code for data workflows.
- Solid understanding of data warehousing concepts and schema design.
- Proficiency with collaborative software development tools and practices.
Responsibilities
- Design, develop, and maintain robust data models within the data warehouse.
- Build, optimize, and manage complex ETL/ELT data pipelines.
- Implement and enforce data quality standards and monitor data pipelines.
- Identify and implement performance optimizations for data access.
- Evaluate and recommend modern data tooling and infrastructure improvements.
- Create comprehensive documentation for data models and processes.
Benefits
- Employees at Rivian are often offered comprehensive health, dental, and vision insurance, a 401(k) with company match, ESPP and potential RSU grants, performance bonuses, and generous time off including paid parental and sick leave. Perks can include 24/7 mental-health coaching and therapy, Hinge Health for Anthem enrollees, tuition assistance and professional development, plus on-site food and a wide range of employee discounts on items like computers, mobile phones, home loans, and pet care.
Is this posting expired or inaccurate?
