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...
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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. You will own our data infrastructure fully from ideation through delivery, including scoping, building, and documenting methodologies, to ensure repeatability and clarity.
### **What You'll Do:**
- Design, build and maintain scalable data pipelines and models using SQL, dbt, and cloud warehouses, owning the entire data engineering function.
- Implement and optimize ETL/ELT workflows to transform raw data into high-quality datasets while reducing latency and costs.
- Develop semantic layers and data catalogs that enable self-service analytics and flexible dashboarding for business users.
- Collaborate with cross-functional teams to define requirements, data contracts, and translate business goals into scalable solutions.
- Balance urgent needs with long-term infrastructure goals while diagnosing and resolving production issues at scale.
### **What we'll love about you:**
- 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.
### **What you’ll love about us:**
- **Mission-Driven Company:** We love cats and we're here to make nine lives ten.
- **People-Driven Company:** We treat our people like people; we're committed to Smalls, and we work hard but also respect everyone’s lives outside of work.
- **Data-Driven Culture:** We love using data to guide decision-making where appropriate, but we also know when to move quickly and go with our gut.
- **Competitive Salary:** Make some $$$.
- **Very Competitive Benefits:** Fully paid Health, Vision, and Dental insurance. 4-day work week. Unlimited PTO.
- **Fully Remote Office & Culture:** Our team is spread across the US day to day, but we travel for department & company off-sites and retreats.
