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E

Data Engineer – Healthcare

Experian

. Design, build, and maintain scalable data platforms using AWS to support analytics, machine learning, and emerging generative AI use cases .

Posted 4/4/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $100,649 - $174,459 per yearWebsite

Tech Stack

Tools & technologies
AirflowApacheAWSAzureCloudGoogle Cloud PlatformPythonSparkSQL

About the role

Key responsibilities & impact
  • Design, build, and maintain scalable data platforms using AWS to support analytics, machine learning, and emerging generative AI use cases
  • Collaborate with data scientists, analysts, and engineering teams to translate business and AI requirements into scalable data solutions
  • Ensure 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
  • Support machine learning and LLM projects by preparing and delivering datasets for use in Amazon SageMaker and Amazon Bedrock

Requirements

What you’ll need
  • 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

Comp & 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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
data engineeringPythonSQLAWSApache SparkEMRdata pipelinesdata lakeslakehouse architecturesmachine learning
Soft Skills
collaborationcommunicationproblem-solvinganalytical thinking