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Internship Healthcare Data Engineer Jobs (NOW HIRING)

ExpediteInfoTech, Inc.

Data Engineer

Rockville, MD · On-site

$116K - $140K/yr

Data Engineer Client: MD State Reference# 71 Number of Positions: Multiple Location: Primary place ... Work hands-on with AWS Health Lake (or equivalent) to store and query healthcare data. * Data ...

Saviance

Data Engineer - Healthcare

Boston, MA · On-site

$124K - $149K/yr

They are seeking a Data Engineer to design and develop data pipelines and complex reporting systems ... data terminology. • Healthcare Experience and a Clear understanding and working knowledge of ...

Apex Informatics

DATA ENGINEER

$117K - $140K/yr

Strong understanding of healthcare data systems and experience leading data engineering teams * Experience in Agile environments. * Excellent problem-solving skills and attention to detail.

Apex Informatics

Data Engineer

$117K - $140K/yr

Kafka, Tableau • Strong understanding of healthcare data systems and experience leading data engineering teams • Experience in Agile environments. • Excellent problem-solving skills and ...

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 ...

Interwell Health

Staff Data Engineer

Interwell Health is a kidney care management company that partners with physicians on its mission ... Reporting to the Director of Data Engineering, the Staff Data Engineer serves as a senior technical ...

WellSky

Healthcare Data Analyst

Overland Park, KS · On-site

$2.5K/yr

We invite you to apply today and join us in shaping the future of healthcare! Key Responsibilities: * Develop and maintain metrics, dashboards, and reports that impact data driven decisions.

Blend360

Lead Data Engineer

Columbia, MD · On-site

$125K - $160K/yr

We are seeking a Lead Data Engineer to support a large-scale healthcare data platform initiative focused on modernizing data ingestion, automation, and semantic layer capabilities within Google Cloud ...

Apex Informatics

Data Engineer Hl7/FHIR

$117K - $140K/yr

Several years of experience as a SQL Developer, transitioning into a Data Engineering role. 5+ years of experience in healthcare data, including quality assurance, and working with HL7 and FHIR ...

Guidehouse

Public Health Data Engineer

San Antonio, TX

$103K - $124K/yr

Internship, academic, research, or project experience involving data engineering, cloud computing ... Experience supporting healthcare, public sector, or federal clients. * Interest in data ...

Guidehouse

Public Health Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Internship, academic, research, or project experience involving data engineering, cloud computing ... Experience supporting healthcare, public sector, or federal clients. * Interest in data ...

Guidehouse

Public Health Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Internship, academic, research, or project experience involving data engineering, cloud computing ... Experience supporting healthcare, public sector, or federal clients. * Interest in data ...

Guidehouse

Public Health Data Engineer

Beavercreek, OH

$106K - $127K/yr

Internship, academic, research, or project experience involving data engineering, cloud computing ... Experience supporting healthcare, public sector, or federal clients. * Interest in data ...

Guidehouse

Public Health Data Engineer

San Antonio, TX · On-site

$70K - $116K/yr

Internship, academic, research, or project experience involving data engineering, cloud computing ... Experience supporting healthcare, public sector, or federal clients. * Interest in data ...

Guidehouse

Public Health Data Engineer

San Antonio, TX · On-site

$70K - $116K/yr

Internship, academic, research, or project experience involving data engineering, cloud computing ... Experience supporting healthcare, public sector, or federal clients. * Interest in data ...

Aptive

Health IT Data Engineer

$117K - $140K/yr

Support integration of healthcare, operational, and administrative data sources in alignment with enterprise data strategy. * Collaborate with Data Strategists, Data Analysts, and Solutions ...

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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 Aug 18, 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 August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $40,174 per year, or $19.3 per hour.

Data Engineer

ExpediteInfoTech, Inc.

Rockville, MD • On-site

$116K - $140K/yr

Other

Posted 4 days ago

Job description

Role: Data Engineer
Client: MD State
Reference# 71
Number of Positions: Multiple
Location: Primary place of performance is HYBRID with 40% onsite requirement in Baltimore City, MD. One week per month onsite is required. On-site attendance may also be required during system rollout activities in addition to the monthly requirement. May require travel to other offices in the Baltimore area as needed.
About the Role: The client is seeking a hands-on Data Engineer to design, develop, and optimize large-scale data pipelines in support of our Enterprise Data Warehouse (EDW) and Data Lake solutions. This role requires deep technical expertise in coding, pipeline orchestration, and cloud-native data engineering on AWS. The Data Engineer will be directly responsible for implementing ingestion, transformation, and integration workflows - ensuring data is high-quality, compliant, and analytics-ready. This role may support multiple projects as needed.
Position Description: Responsible for designing, building, and maintaining data pipelines and infrastructure to support data-driven decisions and analytics. The individual is responsible for the following tasks:
A. Design, develop, and maintain data pipelines, and extract, transform, load (ETL) processes to collect, process, and store structured and unstructured data
B. Build data architecture and storage solutions, including data lakehouses, data lakes, data warehouse, and data marts to support analytics and reporting
C. Develop data reliability, efficiency, and quality checks and processes
D. Prepare data for data modeling
E. Monitor and optimize data architecture and data processing systems
F. Collaboration with multiple teams to understand requirements and objectives
G. Administer testing and troubleshooting related to performance, reliability, and scalability
H. Create and update documentation
Role and Responsibilities:
Hands-On Data Pipeline Development
  • Design, code, and deploy ETL/ELT pipelines across bronze, silver, and gold layers of the Data Lakehouse.
  • Build ingestion pipelines for structured (SQL), semi-structured (JSON, XML), and unstructured data using PySpark/Python programming language using AWS Glue or EMR.
  • Implement incremental loads, deduplication, error handling, and data validation.
  • Actively troubleshoot, debug, and optimize pipelines for scalability and cost efficiency.
  • EDW & Data Lake Implementation
  • Develop dimensional data models (Star Schema, Snowflake Schema) for analytics and reporting.
  • Build and maintain tables in Iceberg, Delta Lake, or equivalent OTF formats.
  • Optimize partitioning, indexing, and metadata for fast query performance.
  • Healthcare Data Integration
  • Build ingestion and transformation pipelines for EDI X12 transactions (837, 835, 278, etc.).
  • Implement mapping and transformation of EDI data with FHIR and HL7 frameworks.
  • Work hands-on with AWS Health Lake (or equivalent) to store and query healthcare data.
  • Data Quality, Security & Compliance
  • Develop automated validation scripts to enforce data quality and integrity.
  • Implement IAM roles, encryption, and auditing to meet HIP nd CMS compliance standards.
  • Maintain lineage and governance documentation for all pipelines.
  • Collaboration & Delivery
  • Work closely with the Lead Data Engineer, analysts, and data scientists to deliver pipelines that support enterprise-wide analytics.
  • Actively contribute to CI/CD pipelines, Infrastructure-as-Code (IaC), and automation.
  • Continuously improve pipelines and adopt new technologies where appropriate.

Education: This position requires a bachelor's or master's degree from an accredited college or university with a major in computer science, statistics, mathematics, economics, or a related field. Three (3) years of equivalent experience in a related field may be substituted for the Bachelor's degree.
General Experience: The proposed candidate must have a minimum of three (3) years of experience as a data engineer.
Specialized experience: The candidate should have experience as a data engineer or in a similar role, with a strong understanding of data architecture and ETL processes. The candidate should be proficient in programming languages for data processing and knowledgeable about distributed computing and parallel processing.
  • 3+ years of hands-on experience in building, deploying, and maintaining data pipelines on AWS or equivalent cloud platforms.
  • Strong coding skills in Python and SQL (Scala or Jav plus).
  • Proven experience with Apache Spark (PySpark) for large-scale processing.
  • Hands-on experience with AWS Glue, S3, Redshift, Athena, EMR, Lake Formation.
  • Strong debugging and performance optimization skills in distributed systems.
  • Hands-on experience with Iceberg, Delta Lake, or other OTF table formats.
  • Experience with Airflow or other pipeline orchestration frameworks.
  • Practical experience in CI/CD and Infrastructure-as-Code (Terraform, CloudFormation).
  • Practical experience with EDI X12, HL7, or FHIR data formats.
  • Strong understanding of Medallion Architecture for data lake houses.
  • Hands-on experience building dimensional models and data warehouses.
  • Working knowledge of HIP nd CMS interoperability requirements.

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