Hart, Inc. · 1 month ago
Client Integration Data Engineer
Bozeman,MT,US
Full-time
Onsite
Mid Level
3+ years expHart, Inc. is seeking a motivated data engineer to join their Delivery team. This role focuses on developing and improving ETL processes that support EHR migration and interoperability solutions in healthcare.
Archiving ServiceData IntegrationHealth CareInformation TechnologySoftware
Responsibilities
Data Integration: Develop and maintain repeatable, yet customizable, processes for ingesting, transforming, and normalizing diverse structured and unstructured healthcare data from various client sources (e.g., EHRs, HL7, FHIR) using the Hart platform
Standard Configuration & Validation: Lead the rapid configuration of our standardized data platform for new clients. Implement robust data quality checks and validation rules using code and established frameworks to ensure data accuracy, completeness, and consistency post-integration
Collaboration & Client Alignment: Work closely with Project Managers, Solution Architects, and external client stakeholders within the Delivery team to translate client data requirements and unique integration challenges into efficient technical solutions
Documentation & Knowledge Transfer: Maintain thorough and clear documentation for client-specific data mappings, transformation logic, and system configurations to ensure successful handoff and support by the broader operations team
Data Security & Compliance: Strictly adhere to data protection standards to ensure compliance with healthcare regulations, including HIPAA, SOC 2, GDPR, and HITRUST frameworks across all client integration projects
Support & Troubleshooting: Rapidly diagnose, troubleshoot, and resolve complex data-related issues that arise during the client integration phase, ensuring minimal disruption to critical project timelines
Qualification
Required
Bachelor's degree in computer science, information systems, or a related field
Strong experience (3+ years) as a Data Engineer, Implementation Consultant, or similar role, with a focus on client delivery and modern ETL/ELT development
Solid understanding of data transformation concepts, data modeling, and database design principles
Proficiency in SQL programming, including query development, data manipulation, and validation
Strong expertise (3+ years) with Python for data engineering, specifically utilizing libraries and frameworks such as PySpark or the Pandas ecosystem for building scalable data transformation pipelines
Experience (3+ years) with distributed data/computing tools (like Spark/PySpark) and cloud-based data services (AWS, Azure, or GCP)
Proven ability to execute repeatable technical processes and translate client requirements into structured configurations
Strong analytical and problem-solving skills, with a detail-oriented mindset
Excellent communication and collaboration skills, specifically for interacting with external client teams
Preferred
Relevant certifications and additional education are a plus
Familiarity with healthcare data standards (e.g., HL7, FHIR) and healthcare-related regulatory requirements (e.g., HIPAA) is highly desirable
Company
Hart, Inc.
Hart is the data accessibility company built for healthcare.
11-50 employees
H1B Sponsorship
Hart, Inc. has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2023 (1)
2022 (2)
2021 (1)
2020 (1)
Funding
Current Stage
Early StageTotal Funding
unknownKey Investors
Palisades Growth
2018-11-27Private Equity
Recent News
Startland News
2025-11-15
2025-06-24
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