Data Integration Engineer

Jobgether SRL; United States; On-site; USD 120,000 - 160,000; Full time

Job summary

Jobgether SRL is partnering to hire a Data Integration Engineer in the United States. You will own data ingestion, transformation, and integration workflows across EMR/EHR systems, HL7 FHIR and related standards.

The role requires building scalable ETL pipelines, APIs, and ensuring data quality across multiple healthcare data feeds. This founding engineer will collaborate with client-facing teams and health system partners to translate business needs into reliable data models and data exchange

Qualifications

• Minimum 5+ years building healthcare data integrations with two or more EHR systems.
• Strong experience with HL7 FHIR, CDA, HL7 2.x and data quality checks.
• Ability to design scalable ETL pipelines and API-based data exchange.

Responsibilities

• Map, extract, transform, and load healthcare data across stages.
• Own ETL pipelines for HL7 FHIR, HL7 2.x, CDA, XML, JSON, REST APIs, and flat files.
• Collaborate with clients to standardize data feeds and requirements.
• Provide technical support for EMR/EHR data integration into systems.
• Translate business needs into scalable data models and integration solutions.
• Design APIs and features to support data ingestion and exchange.
• Establish data quality checks, metrics, and monitoring.

Skills

Data integration

ETL pipelines

HL7 FHIR

HL7 CDA

APIs

Data quality

Data warehousing

APIs from scratch

ETL concepts

Tools

Epic

Allscripts

Cerner

NextGen

eClinicalWorks

HL7 tooling

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Integration Engineer based in United States.

As a founding Data Integration Engineer, you will build scalable and repeatable solutions for exchanging healthcare data with large health systems. You will own data ingestion, transformation, and integration workflows across EMR/EHR and patient eligibility systems. The role combines healthcare data standards, ETL architecture, API development, and data quality engineering. You will work closely with client-facing and operational teams to establish reliable data feeds and translate business needs into scalable technical solutions. Your work will directly support the delivery of accurate, accessible data across internal and external systems. This is an opportunity to take significant technical ownership in a fast-growing HealthTech environment while helping improve healthcare and patient outcomes.

Accountabilities

• Map, extract, transform, and load healthcare data from source systems to target systems across multiple processing stages.
• Own and maintain ETL pipelines supporting HL7 FHIR, HL7 2.x, CDA, XML, JSON, RESTful APIs, flat files, SFTP, and other healthcare data exchange modalities.
• Partner with client-facing teams and healthcare clients to communicate data requirements, standardize file templates, and establish and maintain required data source feeds.
• Provide technical support for integrating EMR/EHR and patient eligibility data with internal systems and operational workflows.
• Translate business requirements into scalable, reliable, and maintainable data models and integration solutions.
• Design and build new APIs and functionality to support data ingestion and data exchange with external systems.
• Establish data quality checks, validations, metrics, and monitoring practices to improve the reliability and consistency of integrated healthcare data.

Requirements

• Bring 5+ years of experience building healthcare data integrations and hands-on experience integrating with at least two EHR systems, such as Epic, Allscripts, Athena, eClinicalWorks, NextGen, Cerner, Greenway, or Meditech.
• Have strong experience with healthcare data workflows and standards, including HL7 FHIR, HL7 CDA, HL7 2.x, EDI X12, LOINC, ICD-10, SNOMED, and CPT.
• Demonstrate practical knowledge of data quality processes, including checks, validations, metrics definition, and measurement.
• Have a strong understanding of data warehouse architectures, ETL concepts, and scalable data integration patterns.
• Demonstrate experience creating APIs from scratch and automating data pipelines for reliable data exchange.
• Be able to translate business and operational requirements into clear technical solutions and data models.
• Bring strong problem-solving skills, technical ownership, and the ability to collaborate effectively with client-facing and operational stakeholders.
• A passion for improving healthcare and the patient experience, experience in an early-stage startup, or enthusiasm for building foundational API and data integration capabilities is highly valued.

Benefits

• Opportunity to join an early-stage, high-growth HealthTech environment with established deployment across more than 80 health systems in over 25 states.
• Significant autonomy and ownership over data ingestion, data integration, and data-related API development.
• Opportunity to build foundational data and API capabilities that support scalable healthcare operations.
• Direct impact on real-world healthcare outcomes and experiences for millions of patients.
• Exposure to complex healthcare data environments, EMR/EHR integrations, and industry-standard interoperability technologies.
• Opportunity to contribute to the technical foundation of a rapidly growing organization.

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.