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Internship Healthcare Data Engineer Jobs (NOW HIRING)

Freedman HealthCare

Data Engineer 1

Providence, RI · On-site

$115K - $138K/yr

Freedman HealthCare is an entrepreneurial, fast-paced, and growing consultancy with a culture of teamwork, open communication, and meeting exacting standards. Job Summary: The Data Engineer I ...

SYSTEGRATION INC

dbt / Data Engineer

Des Plaines, IL · On-site

$111K - $134K/yr

Open, but no OPT/CPT Industry: Healthcare Company We are seeking an experienced dbt Engineer / Data Engineer to support the transitioning, development and modernization of a healthcare data and ...

Scalepex

Healthcare Data Analyst

Dallas, TX · Remote

You'll work closely with teammates, engineering partners, and operational stakeholders to ... analysis, data analysis, and/or process improvement. * 2+ years of experience in the healthcare ...

Scalepex

Healthcare Data Analyst

Dallas, TX

You'll work closely with teammates, engineering partners, and operational stakeholders to ... analysis, data analysis, and/or process improvement. * 2+ years of experience in the healthcare ...

NationsBenefits, LLC

Data Engineer I

Plantation, FL · On-site

$113K - $136K/yr

We partner with managed care organizations to provide innovative healthcare solutions that drive ... DATA ENGINEER I The Technology & Data team is seeking a Data Engineer I to support the development ...

Medisolv, Inc.

Data Engineer

Columbia, MD · On-site

$111K - $133K/yr

Medisolv, a national leader in healthcare quality data management solutions, is seeking a Data Engineer/Analyst to join our growing team. We empower over 1,800 hospitals and 15,000 providers with our ...

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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.

Senior Healthcare Data Modeler

Minnetonka, MN • On-site

Techvilla Solutions
IT Services • 51 - 200 employees
Learn more about Techvilla Solutionsexternal

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Primary Responsibilities
  • Design and implement enterprise data models and data architecture for large, complex healthcare systems.
  • Translate business and technical requirements into scalable data models and end-to-end data solutions.
  • Develop data strategies, roadmaps, and data management solutions supporting analytics and enterprise reporting.
  • Design normalized OLTP, OLAP, MDM, and dimensional models, including Star schemas, SCDs, role-playing dimensions, hierarchies, and data classification.
  • Develop and review complex SQL queries, stored procedures, DDL, DML, and DCL using ANSI standards.
  • Optimize SQL queries and analyze database performance.
  • Define and implement data quality, profiling, governance, security, metadata management, MDM, archival, and migration strategies.
  • Ensure compliance with healthcare data security and privacy requirements, including HIPAA, PHI, and PII.
  • Collaborate with Data Managers, Data Integration Leads, Data Engineers, and business stakeholders.
  • Provide technical leadership, problem-solving, presentations, and recommendations for complex data initiatives.
Required Skills & Qualifications
  • 8+ years of experience in Data Modeling, Data Architecture, or Data Management.
  • 5+ years of hands-on experience with Erwin Data Modeler.
  • 5+ years of experience working with healthcare data and healthcare information systems.
  • Strong experience with Medicaid, Medicare, and Commercial healthcare datasets; Medicaid experience is highly preferred.
  • 7+ years of advanced SQL experience, including complex queries, stored procedures, DDL, DML, DCL, and query optimization.
  • Strong expertise in OLTP, OLAP, MDM, and dimensional data modeling.
  • Experience with Star schemas, Slowly Changing Dimensions (SCD), role-playing dimensions, dimensional hierarchies, and data classification.
  • Strong knowledge of Data Governance, Data Quality, Data Profiling, Data Security, Metadata Management, MDM, Data Archival, and Data Migration.
  • Strong understanding of HIPAA, PHI, PII, and healthcare data privacy/security requirements.
  • Excellent problem-solving, communication, influencing, presentation, and stakeholder management skills.
  • Ability to work independently and take ownership of complex data initiatives.
Preferred Skills
  • Experience with Microsoft Azure data services, including Azure Data Lake Storage, Azure Data Factory, Microsoft Purview, and Azure Maps.
  • Experience with Snowflake.
  • Experience with Power BI or Tableau.
  • Experience designing and implementing large-scale healthcare data warehouse and analytics solutions.

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