Implementation Engineer

HART, INC.•Bozeman, MT

About The Position

Hart is seeking a motivated healthcare data implementation engineer to join its Delivery Services team. The role focuses on developing, maintaining, and improving ETL processes that support EHR migration, archival, and interoperability solutions. The successful candidate will bring hands-on healthcare data engineering experience and an interest in expanding their expertise in cloud, security, and compliance frameworks. The Implementation Engineer develops and maintains processes to ingest, transform, and normalize structured and unstructured healthcare data from client sources, and configures Hart’s standardized data platform for new clients. The role works closely with internal delivery colleagues and external client stakeholders to turn data requirements and integration challenges into technical solutions. It also includes documenting client-specific mappings and configurations, adhering to data protection and regulatory standards, and troubleshooting data issues during client integrations.

Requirements

  • Bachelor's degree in computer science, information systems, or a related field.
  • At least 3 years of experience as a Data Engineer, Implementation Consultant, or in a similar role focused on client delivery and modern ETL/ELT development.
  • Solid understanding of data transformation, data modeling, and database design principles.
  • Proficiency in SQL programming, including query development, data manipulation, and validation, with the ability to write efficient SQL for integration and transformation tasks.
  • At least 3 years of Python experience in data engineering, using libraries and frameworks such as PySpark or the Pandas ecosystem to build scalable data transformation pipelines.
  • At least 3 years of experience with distributed data or computing tools such as Spark/PySpark and cloud-based data services such as AWS, Azure, or GCP.
  • At least 2 years of experience with Databricks, Snowflake, or a similar platform.
  • Ability to execute repeatable technical processes and translate client requirements into structured configurations.
  • Strong analytical and problem-solving skills and attention to detail.
  • Excellent communication and collaboration skills, including experience interacting with external client teams.
  • US work authorization is required.

Nice To Haves

  • Relevant certifications or additional education.
  • Familiarity with healthcare data standards such as HL7 and FHIR and healthcare regulatory requirements such as HIPAA.

Responsibilities

  • Develop and maintain repeatable, customizable processes for ingesting, transforming, and normalizing structured and unstructured healthcare data from sources such as EHRs, HL7, and FHIR using the Hart platform.
  • Configure the standardized data platform for new clients.
  • Implement data quality checks and validation rules using code and established frameworks to ensure data accuracy, completeness, and consistency after integration.
  • Collaborate with Project Managers, Solution Architects, and external client stakeholders to translate client data requirements and integration challenges into technical solutions.
  • Document client-specific data mappings, transformation logic, and system configurations to support handoff and operations.
  • Follow data protection standards and applicable healthcare regulations and frameworks, including HIPAA, SOC 2, GDPR, and HITRUST, across client integration projects.
  • Diagnose, troubleshoot, and resolve data-related issues during client integration to minimize disruption to project timelines.
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