Staff Data Engineer

📋 Description

• Be SME on critical datasets; explain lineage and help partners interpret data.
• Own end-to-end data products from raw data to analytics-ready datasets.
• Architect scalable Databricks pipelines with Spark + SQL (batch/streaming).
• Design lakehouse/warehouse data models; define entities, grains, metrics.
• Integrate diverse data sources; manage schema evolution; deliver curated datasets.
• Establish data quality standards; monitoring, SLAs, and incident response.

🎯 Requirements

• 12+ years in data engineering or software development.
• Python, Spark, and SQL expert.
• BI tools: Tableau, Looker, Preset.
• Databricks, Airflow, Talend for data pipelines.
• Streaming OLAP (Druid/ClickHouse); AWS stack (EMR/Redshift/Kinesis).
• Bachelor's in CS/IS; real-time systems, AI/ML personalization; CDPs/DMPs; security.

🎁 Benefits

• Performance bonus potential.
• Flexible time off.
• Comprehensive medical, dental, vision, STD, LTD, and life insurance.
• HSA program.
• Health care and dependent care FSA.
• 401(k) with employer match; commuter benefit; parent support; pet-friendly offices.