Senior Data Engineer, Platform & Pipelines

📋 Description

• Architect, implement, and maintain data ingestion and transformation pipelines (Dagster).
• Identify, catalog, and integrate internal and external data sources.
• Operationalize bioinformatics pipelines for large-scale AWS batch processing.
• Normalize and structure heterogeneous data for downstream analysis.
• Collaborate with backend and AI engineers on data-access patterns.
• Write clean, tested Python code and maintain production standards.

🎯 Requirements

• BS in CS, Bioinformatics, Computational Biology, or related field; MS preferred.
• 4+ years of production data or software engineering experience.
• Strong Python skills; production-quality code across data/backend contexts.
• Experience with workflow orchestration (Dagster preferred; Airflow/Prefect OK).
• Hands-on AWS experience (S3, ECS, Batch, Lambda) and deploying large-scale pipelines.
• Experience with Postgres/MySQL and/or Neo4j; data modeling and query design.

🎁 Benefits

• Competitive benefits including medical, dental, vision, life and disability.
• Free testing for employees and fertility care benefits.
• Parental leave options including pregnancy and bonding leave.
• 401k retirement plan and commuter benefits.
• Employee referral program.