Key skills
AirflowAmazon RedshiftSQLTableauData EngineeringAnalyticsLookerSnowflakeRedshiftdbt
About this role
Role Overview
- Build and improve data models that enable faster, more reliable decision-making across Product, Risk, and Analytics
- Reduce bottlenecks by delivering clean, scalable datasets analysts can trust and use independently
- Support both roadmap initiatives and ad hoc needs to keep business teams moving without delays
- Improve data quality and structure so new products and features can be analyzed and launched with confidence
Requirements
- 3+ years in analytics engineering, data engineering, or similar
- Strong SQL and experience building data models that support business use cases
- Experience with dbt and modern data warehouses (Snowflake, Redshift, etc.)
- Comfortable working cross-functionally and translating messy data into usable insights
- Curious, proactive, and motivated to solve problems—not just complete tasks.
- Experience with Airflow or similar orchestration toolsBI tools (Looker, Tableau, etc.)
- Exposure to fintech, product analytics, or high-growth environments
Tech Stack
- Airflow
- Amazon Redshift
- SQL
- Tableau
Benefits
- Health, Dental, & Vision benefits plus savings plans
- Mac computers + work-from-home stipend to set up your home office
- Monthly internet and phone reimbursement
- Employee Stock Purchase Plan
- Restricted Stock Units (RSUs)
- 401(k) plan to help you save for retirement plus a company match
- Robust tuition reimbursement program
- $1,000 travel perk on each Earnie-versary to anywhere in the world
- Competitive days of annual PTO
- Competitive parental leave