Data Engineer

Location

Lakewood, CO, Onsite

Reports to

Director of Data & Systems Infrastructure

About the Role

Bloom Healthcare is looking for a Data Engineer to build, manage, and maintain the pipelines and data infrastructure that power our business. You'll work across orchestration, integrations, and modeling, owning systems end to end rather than just writing one-off scripts. This is a hands-on role for someone who likes solving real business problems with clean, reliable data engineering.

What You'll Do

• Orchestration: Build, manage, and maintain data workflows in Apache Airflow, ensuring pipelines run reliably, are well-monitored, and recover gracefully from failures.
• Integrations & Automation: Design and build integrations between internal systems and external services (APIs, vendors, partners) and develop process automations that reduce manual work across teams.
• Data Modeling: Build and maintain dbt models and our semantic layer, creating clean, well-documented, and trustworthy datasets that the business can rely on for reporting and analysis.
• Collaborate with stakeholders across the business to understand data needs and translate them into scalable technical solutions.
• Monitor data quality and pipeline health, troubleshoot issues, and continuously improve reliability and performance.
• Document data models, pipelines, and integrations so systems are maintainable and understandable by the wider team.

What You'll Need

• Bachelor’s degree in mathematics, biostatistics, engineering or a related field; Master’s preferred.
• 3+ years of industry experience in data engineering building scalable data pipelines and data products.
• Strong proficiency in Python and SQL (required).
• Hands-on experience building and consuming APIs.
• Experience with workflow orchestration tools (e.g. Airflow, Dagster).
• Experience building and maintaining dbt models, or similar transformation/modeling frameworks.
• Experience building advan