Data Engineer

We're looking for a Data Engineer to architect and scale the data backbone that powers our AI-driven donor engagement platform. You'll design and own modern, cloud-native data pipelines and infrastructure that deliver clean, trusted, and timely data to our ML and product teams.

Requirements

• US Citizenship
• Bachelor’s or Master’s in Computer Science, Data Engineering, or a related field
• 2+ years of hands-on experience building and maintaining modern data pipelines using python-based ETL/ELT frameworks
• Strong Python skills, including deep familiarity with pandas and comfort writing production-grade code for data transformation
• Fluent in SQL, with a practical understanding of data modeling, query optimization, and warehouse performance trade-offs
• Experience orchestrating data workflows using modern orchestration frameworks (e.g., Dagster, Airflow, or Prefect)
• Cloud proficiency (AWS preferred): S3, Glue, Redshift or Snowflake, Lambda, Step Functions, or similar services on other clouds
• Proven track record of building performant ETL/ELT pipelines from scratch and optimizing them for cost and scalability
• Experience with distributed computing and containerized environments (Docker, ECS/EKS)
• Solid data modeling and database design skills across SQL and NoSQL systems
• Strong communication & collaboration abilities within cross-functional, agile teams

Benefits

• Generous Paid Time Off
• 401k Matching
• Retirement Plan
• Visa Sponsorship
• Four Day Work Week
• Generous Parental Leave
• Tuition Reimbursement
• Relocation Assistance