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Internship Healthcare Data Engineer Jobs in Indiana

Brooksource

GS - Data Science Pod

Indianapolis, IN · On-site

$55 - $75/hr

Data Engineer, Data and Platform Engineering Hybrid Role (downtown Indy 3x / week) Compensation: $60 - $75 ABOUT THE ROLE Join a global healthcare leader dedicated to uniting caring with discovery to ...

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Internship Healthcare Data Engineer information

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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For Internship Healthcare Data Engineer jobs in Indiana, the most frequently searched job titles are:

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The top searched job categories for Internship Healthcare Data Engineer jobs in Indiana are:

What cities in Indiana are hiring for Internship Healthcare Data Engineer jobs?

Cities in Indiana with the most Internship Healthcare Data Engineer job openings:

Internship Healthcare Data Engineer jobs near you
Infographic showing various Internship Healthcare Data Engineer job openings in Indiana 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 86% Physical, 3% Hybrid, and 11% Remote job distribution.

GS - Data Science Pod

Indianapolis, IN • On-site

Brooksource
IT Services • 501 - 1,000 employees
Learn more about Brooksourceexternal

$55 - $75/hr

Contractor

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago

Job description

Data Engineer, Data and Platform Engineering
Hybrid Role (downtown Indy 3x / week)
Compensation: $60 - $75
ABOUT THE ROLE
Join a global healthcare leader dedicated to uniting caring with discovery to make life better for people around the world. As part of the Digital Health organization, the Data and Platform Engineering team transforms wearable and sensor data into trusted, analysis-ready datasets that power digital health studies and clinical trials. As a Data Engineer, you will play a pivotal role in building and maintaining the pipelines, automation, and quality systems that connect digital health technologies (DHT) to scientists and clinical teams, directly impacting how disease is measured and new medicines are evaluated. You will collaborate with study teams from the earliest stages of study design, ensure the quality and traceability of data, and support the integration of AI and advanced analytics into the digital health platform. This is an opportunity to contribute to research and innovation in digital health technologies, with a focus on automation, data integrity, and scalable infrastructure.
WHAT YOU'LL DO
  • Support early-stage design of digital health technology (DHT) studies by collaborating with study teams to understand study objectives, physiological signals of interest, and practical data collection requirements.
  • Build, operate, and maintain scalable data pipelines for wearable and sensor data, ensuring reliable data flow from collection to analysis-ready datasets.
  • Monitor and track the flow of DHT and clinical trial data through pipelines, identifying and addressing issues such as device malfunctions, wear compliance, and emerging data quality problems.
  • Develop and maintain automated data quality check systems, performing root-cause analysis and ensuring data traceability, reproducibility, and compliance with regulatory standards.
  • Manage data storage and organization for raw and processed data, maintaining secure, efficient, and well-documented access across teams and replicating data as needed.
  • Serve as a primary developer for pipeline code, including data movement, processing, aggregation, quality control, and integration of AI capabilities.
  • Build and maintain internal platforms and APIs to expose curated pipeline data to AI tools and assistants used across the team.
  • Configure and manage compute infrastructure that supports AI-driven research, model development, and large-scale data processing.
  • Participate in model or algorithm development activities, including work on novel wearables, sleep detection, 3D environment reconstruction, and modern compute/GPU approaches for generating insights at scale.
  • Contribute to internal discussions and strategy regarding the use of digital health technologies and wearables in both in-clinic and at-home research settings.
  • Stay current with relevant academic research and contribute to publications produced by the team.
  • Present technical work to internal and external audiences, ensuring clear, audience-appropriate storytelling and effective communication.
WHAT YOU BRING
  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related technical field (Master's or PhD considered); 3-5 years of professional data engineering experience.
  • Strong programming skills in Python and SQL, with hands-on experience building and maintaining production data pipelines (ETL/ELT).
  • Experience with cloud computing platforms (e.g., Azure, AWS, or GCP) and modern data engineering tools.
  • Working knowledge of relational and non-relational database technologies and data modeling practices.
  • Demonstrated ability to identify data quality issues and build automated checks to catch and resolve them.
  • Experience working with wearable sensor data, time-series data, or other high-frequency data streams.
  • Experience building, refining, or productionizing machine learning models, especially for classification or signal/time-series data (e.g., activity or sleep detection).
  • Experience integrating AI or large language models (LLMs) into data platforms or applications.
  • Experience in a regulated industry (healthcare, life sciences, or clinical research) is a plus.
  • Strong written and verbal communication skills, with the ability to present technical work to both technical and non-technical audiences.
  • Collaborative, growth-oriented mindset; willingness to learn new tools, languages, and domain knowledge as needed.

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Disclaimer: Brooksource, Medasource, and Calculated Hire are part of the Eight Eleven Group family of companies and operate under Eight Eleven Group, LLC. All employees receive the same benefits, policies, and terms of employment.
EEO:
We are committed to creating an inclusive environment for all employees and applicants. We do not discriminate on the basis of race, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, ancestry, age, disability, genetic information, marital status, military or veteran status, citizenship, pregnancy (including childbirth, lactation, and related conditions), or any other protected status in accordance with applicable federal, state, and local laws.
Benefits & Perks:
Brooksource offers competitive medical, dental, vision, Health Savings Account, Dependent Care FSA, and supplemental coverage with plans that can fit each employee's needs. We offer a 401k plan that includes a company match and is fully vested after you become eligible, paid time off, sick time, and paid company holidays. We also offer an Employee Assistance Program (EAP) that provides services like virtual counseling, financial services, legal services, life coaching, etc.
Pay Disclaimer:
The pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

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