Senior Analytics Engineer

• Data modeling - design, build, and maintain dbt models that transform raw data into clean, reliable datasets for analytics and reporting
• Data quality - implement and maintain testing, monitoring, and documentation so stakeholders can trust what they’re looking at
• BI & semantic layer - build and maintain Sigma data models and workbooks that give business users self-serve access to data
• Collaboration - partner with business stakeholders to understand their analytical needs and translate them into scalable, maintainable data models; work with data engineers on source data requirements

• 5+ years in analytics engineering, data engineering, or a similar data-focused role
• Expert-level SQL including experience with complex joins, window functions, CTEs, and performance tuning
• Strong experience with dbt for building and maintaining transformation pipelines
• Hands-on experience with a cloud data warehouse (BigQuery, Snowflake, Redshift, or similar)
• Understanding of dimensional modeling and data warehouse design patterns
• Experience building and maintaining BI content (dashboards, data models, semantic layers) in tools like Sigma, Looker, or similar
• Strong Python skills for data analysis, automation, or pipeline work
• Solid understanding of data quality practices including testing, monitoring, documentation
• Strong communication skills and demonstrated ability to translate technical concepts for business stakeholders
• Bachelor’s degree in a quantitative field or equivalent practical experience

Nice to Have

• Experience with Sigma Computing specifically
• Familiarity with data quality frameworks (e.g., Elementary, Great Expectations)
• Familiarity with data governance practices - PII handling, access controls, documentation standards
• Experience with version-controlled, CI/CD-driven analytics workflows
• Prior experience in a small data team where you wore multiple hats

Compensation Range: $150K - $185K