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Internship Healthcare Data Engineer Jobs (NOW HIRING)

Saransh Inc

Health Care Data Engineer

New York, NY · On-site

$125K - $150K/yr

Senior Data Engineer - Position Summary The Senior Data Engineer designs and leads scalable data ... Experience with healthcare data and leading data teams * Agile development experience * Strong ...

BerryDunn

Senior Healthcare Data Engineer

Portland, ME · On-site +1

$108K - $147K/yr

Overview BerryDunn's Healthcare Analytics Practice Group i s looking for a Senior Healthcare Data Engineer to join and grow with our practice. Our Data Management and Strategy Practice provides end ...

AaraTechnologies Inc

DATA ENGINEER

Washington, DC · On-site

$129K - $155K/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

Manhattan, NY

$126K - $151K/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 ...

nimble

Data Engineer

Chesterfield, MO · On-site +1

$113K - $136K/yr

Description Data Engineer Chesterfield Office Hybrid or Remote Why You'll Want to Join ... Join a leading Revenue Cycle Management (RCM) company dedicated to transforming healthcare data ...

LMI Consulting, LLC

Health Data Engineer - Mid

Tysons, VA

$115K - $139K/yr

Health Data Engineer - Mid Job Locations US-VA-Tysons Job ID 2026-13929 # of Openings 1 Benefit ... With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy ...

Nimble Solutions

Data Engineer

Chesterfield, MO · On-site

$113K - $136K/yr

Data Engineer Chesterfield Office Hybrid or Remote Why You'll Want to Join ... Join a leading Revenue Cycle Management (RCM) company dedicated to transforming healthcare data ...

Milliman

Senior Healthcare Data Engineer

Seattle, WA · Remote

$120K - $163K/yr

What We're Looking For Required Qualifications * 5+ years of professional experience in data engineering, analytics, or a quantitative analyst role with substantial hands-on coding * Healthcare data ...

CNS Healthcare

Data Engineer

Detroit, MI

$108K - $129K/yr

CNS Healthcare, a leading provider of Mental Health Services in southeast Michigan is seeking a Data Engineer to join our dynamic and fast-paced team. The Data Engineer is responsible for enabling ...

Elara Caring

Healthcare Data Architect

Dallas, TX · On-site

$63 - $81/hr

Design and support of modern data platforms that enable AI/ML pipelines, including feature engineering and advanced analytics workflows * Knowledge of AI/ML frameworks and healthcare AI use cases ...

CenterWell

Data Engineer - Healthcare

Albany, NY · Remote

$113K - $136K/yr

Advanced degree in a quantitative discipline such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering, or related field. * Experience working with healthcare data from ...

Abacus Insights

Senior Healthcare Data Modeler

Our mission is simple: make healthcare data usable, so the people responsible for care and cost ... They will also collaborate with engineering, client implementation teams, and data governance teams ...

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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 Jun 8, 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 are the key skills and qualifications needed to thrive as an Internship Healthcare Data Engineer, and why are they important?

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 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 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

Health Care Data Engineer

Saransh Inc

New York, NY • On-site

$125K - $150K/yr

Contractor

Posted 17 days ago

Job description

 
 

Senior Data Engineer – Position Summary

The Senior Data Engineer designs and leads scalable data architectures and pipelines to support analytics and business intelligence. This role focuses on data optimization, workflow automation, and ensuring reliable data operations in a cloud-based environment.

Minimum Qualifications

  • 8+ years of IT experience, with 5+ years in:
  • Python, PySpark, and SQL for big data processing
  • Data lakes (Iceberg format), ETL (Informatica), and data quality
  • AWS services: S3, Glue, Redshift, Lambda, EMR, Airflow, Postgres
  • BASH/Shell scripting
  • Experience with healthcare data and leading data teams
  • Agile development experience
  • Strong problem-solving and communication skills

Responsibilities

  • Design and maintain scalable data pipelines and architectures
  • Lead data projects and ensure best practices
  • Collaborate across teams to meet data needs
  • Optimize data systems for analytics and reporting
Ensure data quality and system reliability in production environments