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Internship Healthcare Data Engineer Jobs (NOW HIRING)

Ensure Data Solutions, LLC

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ETL Specialist (Healthcare Data Engineer)

Miami, FL · On-site

$50K - $60K/yr

Position Summary We are seeking a highly skilled ETL Specialist (Healthcare Data Engineer) to design, build, and optimize scalable data pipelines that ingest, transform, and operationalize large ...

Ensure Data Solutions, LLC

Be Seen First

ETL Specialist (Healthcare Data Engineer)

Miami, FL · On-site

$50K - $60K/yr

Position Summary We are seeking a highly skilled ETL Specialist (Healthcare Data Engineer) to design, build, and optimize scalable data pipelines that ingest, transform, and operationalize large ...

Knit Health

Data Engineer II

San Francisco, CA · On-site

$134K - $162K/yr

Navigate the complex and often ambiguous landscape of healthcare data, bringing clarity ... A combination of internships, research, and substantial project experience that clearly ...

Elara Caring

Healthcare Data Architect

Dallas, TX

$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 ...

SG2 Recruiting

Data Engineer II

Baltimore, MD · Remote

$113K - $136K/yr

As a Data Engineer II, you will help build the pipelines, processes, and systems that ensure ... Opportunity to work with modern cloud-based data technologies and healthcare data platforms What ...

Circadia Health

Data Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

About Circadia Health Circadia Health is a growth-stage healthcare AI company on a mission to ... The Role As a Data Engineer at Circadia Health , you will play a critical role in building and ...

Elara Caring

Healthcare Data Architect

Dallas, TX

$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 ...

Circadia Health

Data Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

About Circadia Health Circadia Health is a growth-stage healthcare AI company on a mission to ... The Role As a Data Engineer at Circadia Health , you will play a critical role in building and ...

Blue Ridge Care

Healthcare Data Analyst

Winchester, VA · On-site +1

Healthcare Data Analyst - Join the Blue Ridge Care Team! Blue Ridge Care works to optimize the quality of life and well-being for those members of our community affected by aging or dealing with ...

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All JobsInternship Healthcare Data Engineer Jobs

Internship Healthcare Data Engineer information

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

As of Jul 1, 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.

More about Internship Healthcare Data Engineer jobs
What cities are hiring for Internship Healthcare Data Engineer jobs? Cities with the most Internship Healthcare Data Engineer job openings:
What are the most commonly searched types of Healthcare Data Engineer jobs? The most popular types of Healthcare Data Engineer jobs are:
What states have the most Internship Healthcare Data Engineer jobs? States with the most job openings for Internship Healthcare Data Engineer jobs include:
What job categories do people searching Internship Healthcare Data Engineer jobs look for? The top searched job categories for Internship Healthcare Data Engineer jobs are:
Internship Healthcare Data Engineer jobs near you
Infographic showing various Internship Healthcare Data Engineer job openings in the United States as of June 2026, with employment types broken down into 55% Full Time, and 45% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $40,174 per year, or $19.3 per hour.
ETL Specialist (Healthcare Data Engineer)

ETL Specialist (Healthcare Data Engineer)

Ensure Data Solutions, LLC

Miami, FL • On-site

$50K - $60K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 13 days ago

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Job description

About Us

We are a fast-growing healthcare informatics and population health management SaaS company focused on supporting organizations that care for high-complexity, high-severity patient populations, including Medicare Advantage, Medicaid Managed Care, and ACA plans, ACOs, health systems, MSOs, and primary care groups. Our platform integrates EHR, claims, device, and care management data to power risk stratification, cohort building, care gap identification, clinical workflows, outcomes-aligned analytics and provide real-time insights.

We are building a next-generation data infrastructure to support AI-driven care management, interoperability (FHIR/HL7), and value-based care performance optimization.

Position Summary

We are seeking a highly skilled ETL Specialist (Healthcare Data Engineer) to design, build, and optimize scalable data pipelines that ingest, transform, and operationalize large-scale healthcare datasets, including EHR, claims, lab, pharmacy, and device data.

This role is mission-critical to our SaaS platform and will directly support cohort stratification, predictive analytics, clinical reporting, interoperability, and AI-driven care management workflows.

The ideal candidate has deep experience in healthcare data ecosystems (membership, ICD-10 codes, CPT/HCPCS codes, other claims data elements) and can build reliable, secure, and high-performance ETL pipelines in a cloud-native environment.

Key Responsibilities

Data Pipeline Architecture & ETL Development

  • Ingest data from EHR systems, claims clearinghouses, HIEs, APIs, flat files, and third-party data vendors
  • Leverage automated workflows for data extraction, transformation, normalization, and loading into data warehouses/lakes
  • Optimize batch and near-real-time data ingestion pipelines for performance and reliability
  • Implement robust data validation, error handling, and reconciliation logic

Data Modeling & Warehousing

  • Build dimensional models for analytics, quality measures, risk scoring, and reporting
  • Support cohort building and stratification frameworks used in population health and value-based care
  • Ensure high data integrity, lineage tracking, and auditability

Analytics & Product Enablement

  • Partner with Software Development teams to deliver clean, usable datasets
  • Support predictive modeling, risk stratification, and prescriptive analytics initiatives
  • Enable dashboards, reporting layers, and client-facing analytics products

Compliance, Security & Governance

  • Ensure HIPAA-compliant data handling and secure PHI processing
  • Implement data governance, encryption, and access control best practices
  • Maintain audit logs and documentation for regulatory and client requirements
  • Support SOC 2, HITRUST, and healthcare security frameworks

Required Qualifications

  • Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field (Master’s preferred)
  • 1–3+ years of experience in ETL development, data engineering, or data integration
  • Experience working with large-scale healthcare datasets (EHR, claims, or clinical data)
  • Experience in healthcare SaaS, population health, or value-based care environments
  • Knowledge of CMS programs (ACO REACH, Medicare Advantage, HEDIS, Stars, Risk Adjustment)
  • Familiarity with OMOP, FHIR data models, or clinical data normalization frameworks
  • Knowledge of healthcare quality measures and care management data workflows

Technical Stack

  • Languages: SQL
  • Databases: SQL

Key Competencies

  • Strong problem-solving and analytical thinking
  • High attention to data quality and accuracy
  • Ability to work in a fast-paced, high-growth SaaS environment
  • Strong documentation and communication skills

Compensation & Benefits

  • Competitive salary
  • Health, dental, and vision insurance
  • Generous PTO and holidays
  • Opportunity to work at the forefront of healthcare AI, interoperability, and outcomes-aligned care