Data Engineer

Unlock Health•Nashville, TN

About The Position

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 data sources, and delivers high-quality datasets for analytics, reporting, and business decisions. The ideal candidate has strong SQL skills, experience with Snowflake and/or Google BigQuery, working knowledge of Python, 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. The Data Engineer collaborates with data architects, analytics teams, and stakeholders to deliver trusted, analytics-ready datasets. Success means delivering reliable, automated, well-documented pipelines; improving data quality, processing efficiency, and platform reliability; building reusable solutions that reduce manual maintenance; and collaborating effectively with technical and business teams. Unlock Health is a full-service marketing communications agency grounded in technology and focused on healthcare, integrated with a managed care consultancy with revenue strategy expertise. The company brings together healthcare firms to align brand, marketing, technology, and revenue strategy. It supports clients with patient acquisition, brand building, martech ecosystems, and digital experiences. Unlock and its affiliate companies are equal opportunity employers committed to an inclusive and diverse workforce.

Requirements

At least 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.
Must reside in the United States and be legally authorized to work in the United States.

Nice To Haves

Experience with Fivetran, Supermetrics, or similar integration tools.
Experience with Tableau or comparable business intelligence platforms.
Experience with ChatGPT, Claude, or other AI-assisted development tools.
Experience with CI/CD, orchestration, automated testing, or data governance.
Experience with marketing, advertising, CRM, or healthcare data integrations.

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 to ensure 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, validating outputs for accuracy and security.
Collaborate with data architects, analytics teams, and stakeholders to deliver trusted, analytics-ready datasets.