Develop data pipelines with SQL and Python ETL to deliver data to consumers.
Collaborate with data scientists, analysts, and engineers to define data use cases.
Architect and QA performant data models for analytics in a data warehouse.
Triage and debug on-call requests with the Analytics Engineering team.
Design LLM-friendly DWH schemas and domain guides for AI-driven analysis.
Partner with Analytics leadership to plan BI tooling for easy data access.

🎯 Requirements

3+ years in analytics, data, or software engineering.
Experience with DBT, Databricks, or similar SQL-transformation tools.
Bachelor's degree or higher in a quantitative field.
Expert SQL; proficiency in Python.
Experience building metrics and analyzing large datasets.
Excellent verbal and written communication skills.

🎁 Benefits

Equity stake
Flexible work environment; remote or in-office
WFH stipend to support home office setup
Unlimited PTO
401(k) matching
Health, vision, dental, and life insurance

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