Data Engineer

📋 Description

• Provide on-call technical assistance to analysts, data consumers, and data engineering teams
• Investigate and resolve data quality issues in response to system alerts or notifications from
• Design and implement batch and real-time data pipelines to the data warehouse or data lake using
• Lead impactful initiatives to enhance data pipelines and other data operations capabilities while
• Create and maintain technical support documentation, including FAQs, troubleshooting steps, support
• Drive operational best practices and shape workflows for routine consumer support, operations

🎯 Requirements

• Minimum of 3+ years of experience in data engineering with focus on operational support
• Advanced SQL skills with proven query optimization experience
• Strong problem-solving skills with ability to take ownership and accountability for issues through
• Python programming proficiency for automation and data processing
• Experience with cloud data platforms (AWS, Databricks, Spark)
• Understanding of data warehousing and ETL/ELT processing

🎁 Benefits

• Health plans (some as low as $0 per paycheck) including fertility and family planning, mental
• Generous paid time off (PTO & sick leave)
• Annual bonus and long-term incentive opportunities (based on performance)
• 401k with up to a 5% match
• Commuter benefits
• Pet insurance