Senior Data Engineer

📋 Description

• Design and implement batch and streaming pipelines with PySpark, SQL, AWS.
• Translate high level direction into scoped, high quality technical solutions.
• Collaborate with product, design, analysts, and engineers to ship data features.
• Contribute to architectural discussions and system improvements.
• Ensure pipeline reliability and data quality with tests and monitoring.
• Investigate and resolve production issues for owned services.

🎯 Requirements

• 6–7+ years of experience in data engineering with hands-on execution.
• Proficiency with PySpark, Python, and SQL, including debugging and optimization.
• Experience building large-scale pipelines (TB+), with Kafka exposure.
• Strong data modeling, relational DBs, and NoSQL knowledge.
• Experience with AWS services such as EMR, Glue, Athena, Lambda, and S3.
• Iceberg or lakehouse technologies experience (nice to have).

🎁 Benefits

• Hybrid work with hub locations Denver, San Francisco, Nashville, Santiago.
• In-office perks: lunch, commuter stipend, snacks.
• Relocation stipend may be available.