Lead the development of scalable ETL/ELT pipelines and Medallion Architecture data models.
Collaborate cross-functionally to deliver analytics dashboards, ensure data quality, and translate product metrics into actionable insights.
Responsibilities
Design, implement, and maintain scalable ETL/ELT pipelines using Airflow.
Develop data models across the Medallion Architecture layers to support analytics and reporting.
Optimize SQL queries for large datasets in AWS Athena and other relational systems.
Build and maintain dashboards and BI workflows using Metabase.
Collaborate with Product, Operations, and Analytics teams to define startup metrics and KPIs.
Ensure data quality, governance, and reproducibility across the data warehouse/lake.
Establish best practices for data engineering and analytics.
Requirements
Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
5+ years of experience in data engineering or related roles.
Strong SQL expertise with experience tuning queries and designing efficient schemas.
Hands-on experience with Airflow for workflow orchestration.
Familiarity with AWS services, especially Athena, S3, Glue, and Redshift.
Experience building analytics dashboards with Metabase or similar BI tools.
Understanding of Medallion Architecture and layered data pipelines.
Strong understanding of startup/product metrics and how to translate them into analytics workflows.
Proficiency in Python for data engineering and ETL tasks.
Collaborative and able to work cross-functionally with product and business teams.
Benefits
💸 Competitive salary in USD
💰 Attractive stock options
🌴 Unlimited PTO
🚛 Relocation allowance
👨💻 Top-notch equipment
🧳 Regular team offsites around the world — next stop: Austin!
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