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Internship Healthcare Data Engineer Jobs (NOW HIRING)

Hart, Inc

Healthcare Data Engineer, Team Lead

$117K - $140K/yr

Job Summary Hart is seeking a motivated, healthcare data engineer with minimum 5 years of experience to join our Delivery team as a technical team lead. This role focuses on developing, maintaining ...

Keebler Health

Data Engineer (Health Data Metrics)

Durham, NC · On-site

$110K - $132K/yr

We empower leading primary care groups, ACOs, and health plans to act on real-time insights that ... We are seeking a Data Engineer to lead our efforts around reporting scalable metrics for healthcare ...

AaraTechnologies Inc

DATA ENGINEER

California City, CA · On-site

$140K - $168K/yr

Data Engineer Healthcare (2-3 Years Experience) Company: AaraTech Inc About the Role AaraTech Inc is seeking a motivated Data Engineer Healthcare ( 2-3 years experience) to support healthcare data ...

AaraTechnologies Inc

DATA ENGINEER

Kansas City, MO · On-site

$111K - $134K/yr

Data Engineer Healthcare ( 2-3Years Experience) Company: AaraTech Inc About the Role AaraTech Inc is seeking a motivated Data Engineer Healthcare ( 2-3 years experience) to support healthcare data ...

LMI Consulting, LLC

Health Data Engineer - Mid

Tysons, VA · On-site

$115K - $139K/yr

Health Data Engineer - Mid Job Locations US-VA-Tysons ID 2026-14376 # of Openings 1 Overview LMI is ... With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy ...

LMI

Health Data Engineer - Mid

Tysons, VA · On-site

$115K - $139K/yr

With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy ... We are seeking a results-driven Mid-Level Data Engineer to join our team and contribute to ...

LMI

Health Data Engineer - Mid

Tysons, VA · On-site

$115K - $139K/yr

With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy ... Responsibilities We are seeking a results-driven Mid-Level Data Engineer to join our team and ...

LMI

Health Data Engineer - Mid

Tysons, VA · On-site

$115K - $139K/yr

With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy ... Responsibilities We are seeking a results-driven Mid-Level Data Engineer to join our team and ...

AArete

Healthcare Data Developer

Denver, CO · On-site

$90K - $120K/yr

Description Healthcare Data Developer AArete is one-of-a-kind when it comes to consulting firm culture We're a global, innovative management and technology consulting firm with offices in the U.S ...

AArete

Healthcare Data Developer

El Segundo, CA · On-site

$90K - $120K/yr

Description Healthcare Data Developer AArete is one-of-a-kind when it comes to consulting firm culture We're a global, innovative management and technology consulting firm with offices in the U.S ...

AArete

Healthcare Data Developer

Vienna, VA · On-site

$90K - $120K/yr

Description Healthcare Data Developer AArete is one-of-a-kind when it comes to consulting firm culture We're a global, innovative management and technology consulting firm with offices in the U.S ...

AArete

Healthcare Data Developer

Chicago, IL · On-site

$90K - $120K/yr

Description Healthcare Data Developer AArete is one-of-a-kind when it comes to consulting firm culture We're a global, innovative management and technology consulting firm with offices in the U.S ...

Analytica

Senior Data Engineer

Washington, DC · On-site

$120K - $163K/yr

Analytica is seeking a Senior Data Engineer to support large-scale healthcare data modernization and analytics initiatives. This role is responsible for designing, building, optimizing, and operating ...

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Internship Healthcare Data Engineer information

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How much do internship healthcare data engineer jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for internship healthcare data engineer in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

What does an internship healthcare data engineer do?

An Internship Healthcare Data Engineer assists in collecting, processing, and analyzing healthcare data to support clinical and operational decision-making. They work under the supervision of experienced data engineers, learning to manage large datasets, maintain databases, and help develop tools for data integration and reporting. Interns may also work on data cleaning, validating information, and ensuring data privacy in compliance with healthcare regulations. This role is ideal for students or recent graduates interested in applying data engineering skills within the healthcare industry.

What are the key skills and qualifications needed to thrive as an internship healthcare data engineer?

To thrive as an Internship Healthcare Data Engineer, you need foundational knowledge in data analysis, programming (such as Python or SQL), and a relevant academic background in computer science, information systems, or a related field. Familiarity with data visualization tools, electronic health record (EHR) systems, and HIPAA compliance is typically expected. Strong problem-solving skills, attention to detail, and the ability to communicate technical findings clearly will set you apart. These skills are crucial for ensuring data integrity, supporting healthcare decision-making, and navigating the sensitive and regulated nature of healthcare data.

What types of projects do healthcare data engineer interns typically work on, and how do these contribute to larger team goals?

Healthcare Data Engineer interns often work on tasks such as cleaning and preparing large healthcare datasets, developing ETL (Extract, Transform, Load) pipelines, and assisting with the integration of data from various clinical systems. These projects are foundational for ensuring accurate and accessible data for analytics and reporting, which directly supports the organization's goals of improving patient outcomes and operational efficiency. Interns frequently collaborate with data analysts, software engineers, and clinicians, gaining exposure to interdisciplinary teamwork and real-world healthcare challenges.

What is the difference between Internship Healthcare Data Engineer vs Healthcare Data Analyst?

AspectInternship Healthcare Data EngineerHealthcare Data Analyst
Required CredentialsEnrolled in or recent graduate of relevant degree (e.g., Computer Science, Data Science)Degree in Health Informatics, Data Analytics, or related field
Work EnvironmentHealthcare organizations, tech companies, or research institutionsHospitals, clinics, insurance companies, or healthcare IT firms
Employer & Industry UsageUsed for entry-level training in data engineering tasks within healthcareUsed for analyzing healthcare data to inform decisions and improve patient outcomes

The Internship Healthcare Data Engineer focuses on developing and maintaining data pipelines and infrastructure, often in a learning capacity. In contrast, the Healthcare Data Analyst interprets healthcare data to generate insights. Both roles require familiarity with healthcare data, but their core responsibilities differ, with the internship emphasizing technical skills and the analyst role emphasizing data interpretation.

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Internship Healthcare Data Engineer jobs near you
Infographic showing various Internship Healthcare Data Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $40,174 per year, or $19.3 per hour.

Healthcare Data Engineer, Team Lead

Remote

Hart, Inc
See more jobs at Hart, Incexternal

$117K - $140K/yr

Full-time

Posted 22 days ago

Job description

Job Type
Full-time
Description
About Hart
Hart is a leader in healthcare data accessibility and infrastructure, delivering intelligent solutions that empower health systems to manage, move, and protect their clinical and financial data. Founded in 2012 in Orange County, California, Hart serves hospitals and health networks across the U.S., helping them simplify EHR data migrations, archival, interoperability, and analytics through its suite of innovative products and professional services.
Hart's mission is to make healthcare data accessible, secure, and actionable-so providers can focus on what truly matters: improving patient outcomes. Our growing portfolio includes HealthMigrate, HealthArchive, HealthExchange, HealthLake, HealthSecure, and HealthSync-each designed to address a specific challenge in modern healthcare data management.
Job Summary
Hart is seeking a motivated, healthcare data engineer with minimum 5 years of experience to join our Delivery team as a technical team lead. This role focuses on developing, maintaining, and improving ETL processes that support EHR migration, archival, and interoperability solutions. As Implementation Technical Lead, you will provide day-to-day technical leadership, documentation, guidance, and support for Hart's Implementation Engineering function.
You will be responsible for improving the consistency, quality, scalability, and efficiency of technical client implementations while strengthening collaboration between Implementation Engineering, Platform Engineering, Project Management, and other Delivery functions. The ideal candidate has hands-on experience in healthcare data engineering and is eager to expand their expertise in cloud, security, and compliance frameworks.
Key Responsibilities
  • ETL Development: Design, build, and optimize SQL, Python, and Scala-based data transformation tools to support EHR migrations, data archiving, and data streaming initiatives.
  • Data Integration: Develop and maintain scalable processes for ingesting and normalizing structured and unstructured healthcare data from multiple sources (e.g., EHRs, HL7, FHIR)
  • Data Quality & Validation: Implement data quality checks and validation rules to ensure accuracy, completeness, and consistency across systems.
  • Automation & Optimization: Identify opportunities to automate ETL workflows, improve performance, and enhance system reliability.
  • Collaboration: Work closely with project managers, analysts, and solution architects within the Delivery team to translate client data requirements into technical solutions.
  • Documentation: Maintain thorough documentation for data mappings, transformation logic, and system configurations.
  • Security & Compliance: Adhere to Hart's data protection standards and ensure compliance with HIPAA, SOC 2, GDPR, and HITRUST frameworks.
  • Support & Troubleshooting: Diagnose and resolve data-related issues, ensuring minimal disruption to client projects

Requirements
Qualifications:
- Bachelor's degree in computer science, information systems, or a related field. Relevant certifications and additional education are a plus.
- Strong experience (5+ years) as a Data Engineer or similar role, with a focus on data transformation and ETL development.
- Solid understanding of data transformation concepts, data modeling, and database design principles.
- Expertise in SQL programming, including complex query development, stored procedures, and database performance optimization with proficiency in working with relational databases (e.g., Oracle, SQL Server, MySQL) and related tools.
- Strong experience (5+ years) with object oriented languages including SQL, Python, or Scala
- Experience with distributed data/computing tools (Hadoop, Spark) and cloud-based data services (AWS)
- Familiarity with healthcare data standards (e.g., HL7, FHIR) and healthcare-related regulatory requirements (e.g., HIPAA) is highly desirable.
- Strong analytical and problem-solving skills, with the ability to identify data-related issues and implement effective solutions.
- Detail-oriented mindset with a focus on data accuracy, quality, and integrity.
- Excellent communication and collaboration skills to effectively work with cross-functional teams and stakeholders.
- Ability to work in a fast-paced, dynamic environment and manage multiple priorities.
- Proven ability to work independently and with a team.

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