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Senior Analytics Engineer - Rivian
Data Engineer
Senior Analytics Engineer shaping data pipelines and self‑service dashboards, leveraging SQL, Python, dbt and Looker on AWS to turn complex business questions into actionable insights.
About the role
Key Responsibilities
- Design, build, and maintain scalable data pipelines and transformation workflows using dbt and Python.
- Create, automate, and optimize descriptive reports and interactive dashboards in Looker for cross‑functional stakeholders.
- Collaborate with product, finance, and operations teams to translate business requirements into robust analytical solutions.
- Develop and enforce data modeling standards and best practices to ensure data quality and consistency across the organization.
- Monitor, troubleshoot, and improve performance of data assets hosted on AWS services.
Requirements
- 5+ years of experience in analytics engineering or data engineering roles.
- Strong proficiency in SQL and Python for data extraction, transformation, and analysis.
- Hands‑on experience with dbt for data modeling and transformation pipelines.
- Proven ability to build and maintain Looker (or similar BI) dashboards and reports.
- Experience working with AWS data services (e.g., Redshift, S3, Glue) and implementing best‑in‑class data governance.
Skills
sqlpythondbtlookeraws