Data Engineer

Hart • Bozeman, MT

20d • Onsite

About The Position

Hart is a healthcare technology company focused on clinical data integration and archiving, building infrastructure to connect disparate health systems and provide a unified source of information for providers and patients. The company is seeking a Data Engineer to build and maintain its data infrastructure, specifically developing robust ETL/ELT pipelines and managing data workflows within the Databricks ecosystem. The ideal candidate is a builder who values simplicity and pragmatism, capable of navigating the rigor of a regulated industry without over-engineering technical solutions. While remote talent is considered, there is a strong preference for candidates who can work on-site in Bozeman, MT. The company culture emphasizes an engineering-first mindset, direct communication, and technical execution, aiming for disciplined, professional systems with a lean, focused team structure. If you prefer building foundational technology in a simple, pragmatic, and fluff-free environment, you will fit in here.

Requirements

• Professional Experience: Proven track record in data engineering or a software engineering role with a heavy focus on data.
• Databricks: Hands-on experience with the Databricks platform.
• Languages: High proficiency in Python and SQL.
• ETL/ELT: Experience building and maintaining production-grade data pipelines.
• Cloud Infrastructure: Experience working within AWS environments.

Nice To Haves

• AI/ML: Experience with MLflow, model training, or integrating AI into data pipelines.
• Healthcare Data: Familiarity with healthcare standards like HL7 and FHIR.
• Software Fundamentals: Strong understanding of version control (Git) and CI/CD practices.

Responsibilities

• Data Pipeline Development: Design and implement scalable ETL/ELT pipelines to ingest and transform complex healthcare data.
• Databricks Development: Build and optimize data models and processing workflows within the Databricks ecosystem.
• Pragmatic Engineering: Focus on clean, maintainable code and simple solutions that solve the problem effectively without unnecessary complexity.
• Performance Optimization: Write and refine high-signal Python and SQL code to improve system reliability and efficiency.
• AI/ML Support: Develop the data foundation for machine learning workflows and assist in moving models into production.
• Security & Compliance: Ensure all data flows meet HIPAA and security standards through intentional documentation and validation.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 1-10 employees