Senior Data Engineer, Off

Design, build, and support trusted analytical data products for various data initiatives using open Lakehouse technologies. Own end-to-end batch/stream pipelines, logical and physical data models, and production-grade curation of reference and application data.

Requirements

• Strong data engineering programming skills in Python, Java, and SQL
• Strong programming skills in Spark & SQL, with hands-on knowledge of optimization and debugging
• Hands-on experience with Snowflake and Databricks as data platforms
• Working knowledge of open table formats such as Apache Iceberg, catalogs (any of Polaris, Horizon, Unity), or metadata frameworks
• Experience building production-grade services in cloud environments; AWS,GCP and/or Azure is preferred
• Experience with structured and unstructured ingestion, schema evolution, and data modeling
• Strong debugging and performance-tuning skills for data pipelines
• Experience designing curated analytical/semantic data models for consumption (BI/metrics layers and/or serving models), including governance, documentation, and change management
• Working knowledge of building data products for consumption via APIs and BI endpoints, including interface contracts, performance considerations, and access controls

Benefits

• Inclusive development opportunities
• Flexible work-life support
• Paid volunteer days
• Vibrant employee networks