Data Engineer - DataOps

📋 Description

• Build, scale, maintain data pipelines to deliver sell-through and actuals data
• Hardening, monitoring, and troubleshooting shared pipeline estate
• Ensure data quality and platform reliability across pipelines
• Own code, logic, and operational health of data products (SLIs/SLOs)

🎯 Requirements

• 5+ years Data Engineering or related software with data focus
• SQL proficiency
• Python; Java/Scala a plus
• Airflow, Spark, Trino/Dremio, Iceberg, Kafka, Docker
• DataOps & Lakehouse experience; Iceberg maintenance
• Git and CI/CD for pipelines

🎁 Benefits

• Excellent, comprehensive medical/dental/vision coverage
• Generous PTO and 15 company-wide holidays
• 401k with company contribution
• Paid parental leave
• Work-life balance and emphasis on well-being
• Career growth in a disruptor space and entrepreneurial opportunities