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Data Engineer - Healthcare (Remote)

Experian

United States, United State, United States Remote permanent

Posted: April 3, 2026

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Quick Summary

Data Engineer - Healthcare is a key role that involves designing and implementing data architectures for healthcare organizations, ensuring data quality, security, and compliance with regulatory requirements.

Job Description

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create digital marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realise their financial goals and help them to save time and money.

We operate across a range of markets, from financial services to healthcare, automotive, agrifinance, insurance, and many more industry segments.

We invest in people and new advanced technologies to unlock the power of data and to innovate. A FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 23,300 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.

Reporting to the Director of Analytics, the Data Engineer will design, build, and maintain scalable data platforms using AWS to support analytics, machine learning, and emerging generative AI use cases.

You will

• Collaborate with data scientists, analysts, and engineering teams to translate business and AI requirements into scalable data solutions, while ensuring data quality, performance, and cost efficiency across the platform.
• Work with large-scale datasets to build and optimize data pipelines using AWS services such as EMR (Spark, Trino), S3, Glue, Athena, and Airflow
• Design and manage lakehouse architectures, using technologies like Apache Iceberg and Glue Catalog to support ACID transactions, schema evolution, and performant analytics.
• Support machine learning and LLM projects by preparing and delivering datasets for use in Amazon SageMaker and Amazon Bedrock.

• 3+ years of experience in data engineering or related roles
• 3+ years experience with Python and SQL
• 3+ years hands-on experience with cloud platforms (AWS, Azure, or GCP)
• Experience building and maintaining scalable batch data pipelines
• Experience working with data lakes or lakehouse architectures
• Experience with Apache Spark and EMR
• Bachelor's degree in Computer Science, Engineering, Mathematics, or related discipline

Benefits/Perks:

• Great compensation package and bonus plan
• Core benefits including medical, dental, vision, and matching 401K
• Flexible work environment, ability to work remote, hybrid or in-office
• Flexible time off including volunteer time off, vacation, sick and 12-paid holidays
• Explore all our exciting benefits here: https://yourexperianbenefits.com/cand-index.html

At Experian, our people and culture set us apart. We're deeply committed to creating an environment where everyone feels they belong and can excel. From inclusion and authenticity to work/life balance, development, wellness, collaboration, and recognition, we focus on what truly matters. Our people-first approach has earned us global recognition: World's Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ 2025 in 26 countries, and Glassdoor Best Places to Work 2024, among others.

Want to see what life at Experian is really like? Explore Experian Life on social or visit our careers site.

Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay range for this position is listed above. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. You will be also eligible for a variable pay opportunity.

Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

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