Data Engineer - Analytics

Required

• U.S. Citizenship is required
• 3+ years of writing, maintaining, and optimizing Production grade SQL to support business functions and/or applications. Knows how to efficiently write CTE’s, correlated and non-correlated subqueries, and window functions.
• 3+ years of data modeling. Knows star and snowflake schemas and the difference between a dimension and a fact.
• 3+ years writing ETL pipelines. Has used Airflow, Dagster, Prefect, or similar orchestration tools.
• 1-3+ years of Python for pipelines, data science, or applications
• Has hands-on experience in at least one startup/tech data domain: Finance, Pipeline/Funnel, Product Analytics, Operations
• Ability to quickly understand how end user engagement with an application ties to conversion and revenue.
• Demonstrated track record of working collaboratively and delivering independently
• Strong judgment and attention to detail when validating complex relationships and resolving ambiguous cases
• Excellent written communication — able to document decisions with clear reasoning and auditable source support
• Ability to prioritize, triage, and execute quickly while maintaining consistent quality
• Strong stakeholder communication skills and the ability to coordinate across multiple workstreams