Data Engineer

The Role

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

The ideal candidate brings strong SQL skills, experience with Snowflake and/or Google BigQuery, working Python knowledge, and an interest in automation, troubleshooting, and responsible AI-assisted development.

Applicants must reside in the United States and be legally authorized to work in the United States to be considered for this position.

Key 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.

Required Qualifications

• 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.

Preferred Qualifications

• 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.

What Success Looks Like

• Deliver reliable, automated, and well-documented data pipelines.
• Improve data quality, processing efficiency, and platform reliability.
• Build reusable solutions that reduce manual maintenance.
• Collaborate effectively with technical and business teams.

Perks and Benefits

• Competitive salary; health, dental, and vision benefit packages.
• Company-paid life, short-term disability, and long-term disability insurance; FSA/HSA options.
• 401(k) with company match; flexible paid time off; paid parental leave.
• Hybrid and remote schedules; employee assistance and referral programs.