We are seeking a highly analytical and detail-oriented Senior Analytics Engineer to own our data infrastructure and unlock insights to drive decision making at Smalls. In this role, you will be a key partner to multiple departments within our organization, designing analytics frameworks, improving data quality, and increasing access to data and analysis tools to power both strategy and execution.
Requirements
- 5+ years in data engineering with experience building data infrastructure from early stages and making architectural decisions.
- Strong judgment and autonomy - comfortable with ambiguity, can prioritize effectively, explain trade-offs to executives, and balance speed with quality.
- Strong hands-on experience with ETL/ELT pipelines, data warehousing (Snowflake preferred), orchestration tools (Airflow), and dbt.
- Advanced SQL skills for complex queries on large datasets, with understanding of performance and cost trade-offs.
- Experience with data quality, governance, and leading technical discussions across teams of varying expertise.
- Proficiency with GitHub, Python, and data visualization tools; bonus points for ML feature engineering or AI agents experience.
Benefits
- Fully paid Health, Vision, and Dental insurance
- 4-day work week
- Unlimited PTO
