Data Engineer

Unlock Health is seeking a hands-on Data Engineer to build, maintain, and optimize its modern cloud data platform. The role develops reliable data pipelines, integrates diverse sources, and delivers high-quality datasets for analytics, reporting, and business decisions.

Responsibilities:

• Develop, maintain, and optimize data pipelines using Snowflake, Google BigQuery, SQL, and Python
• Ingest and transform data from APIs, databases, cloud storage, marketing platforms, and third-party sources
• Build reusable data models and transformation workflows using SQL, dbt, and established engineering practices
• Implement data validation, quality checks, monitoring, and troubleshooting for reliable delivery
• Automate manual processes and improve pipeline performance, scalability, and maintainability
• Use tools such as Fivetran, Supermetrics, and cloud services for data integration when appropriate
• Use ChatGPT, Claude, or similar AI tools for development, debugging, testing, and documentation; validate outputs for accuracy and security
• Collaborate with data architects, analytics teams, and stakeholders to deliver trusted, analytics-ready datasets

Requirements:

• Applicants must reside in the United States
• legally authorized to work in the United States
• 2+ years of hands-on experience in data engineering, analytics engineering, or a related technical role
• Strong SQL skills and experience developing and supporting production data pipelines
• Hands-on experience with Snowflake and/or Google BigQuery, with the ability to learn and support both platforms
• Working knowledge of Python for data processing, automation, and API integrations
• Familiarity with dbt or similar data transformation frameworks
• Experience with AWS and/or Google Cloud environments
• Understanding of data modeling, ETL/ELT, Git, and data quality practices
• Strong analytical, troubleshooting, communication, and problem-solving skills
• Bachelor's degree in a related field or equivalent practical experience
• Fivetran, Supermetrics, or similar integration tools
• Tableau or comparable business intelligence platforms
• ChatGPT, Claude, or other AI-assisted development tools
• CI/CD, orchestration, automated testing, or data governance
• Marketing, advertising, CRM, or healthcare data integrations