Data Engineer II- Life Sciences

📋 Description

• Build and maintain the Python and PySpark pipelines behind the CTMS trial data pipeline intake
• Develop the transformation logic that maps raw trial and customer data to H1's internal data
• Write and tune SQL against large datasets to investigate data questions, validate pipeline output
• Turn around customer-changes quickly, scoping requests as they arrive, ship changes that hold up
• Partner with clinical SMEs to translate domain expertise into concrete data rules, then walk them
• Build data quality checks, validation logic, and a reconciliation process that let non-engineers

🎯 Requirements

• 3+ years of experience in software data engineering, with strong experience in Python
• Experience building and maintaining production-grade data pipelines in Python
• Hands-on experience with PySpark or a similar distributed data processing system
• Strong SQL skills, including work with large, messy, multi-source data sets
• Strong understanding of software quality practices: testing, code review, documentation, and CI/CD
• Experience working with cross-functional and non-technical stakeholders

🎁 Benefits

• Full suite of health insurance options with generous remuneration
• Pre-planned company-wide wellness holidays
• Retirement options
• Health & charitable donation stipends
• Impactful Business Resource Groups
• Flexible work hours & opportunity to work from anywhere