Data Engineer - Scalable Pipelines for Health Tech

Jahnel Group

Iowa City (IA)

On-site

USD 95,000 - 125,000

Full time

14 days+
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Job summary

Jahnel Group is seeking a Data Engineer for Revology, a newly formed entity delivering tech-enabled revenue cycle management to hospitals and health systems in the United States. This full-time role focuses on building and maintaining data infrastructure essential to Revology’s applications.

You will collaborate with enterprise and client leaders, translate business requirements into technical specs, and work within Agile teams to deliver scalable, cloud-based data solutions.

Qualifications

  • 3+ years of data engineering experience in large-scale data platforms.
  • Experience with ETL patterns, data modeling and data integration.
  • Proficiency with SQL and NoSQL databases.
  • Experience with PySpark and AWS Glue; HIPAA/compliance knowledge is a plus.

Responsibilities

  • Develop and maintain scalable data pipelines from multiple sources.
  • Transform raw data into usable information for clients and internal teams.
  • Collaborate with Agile teams to design, implement, and support data solutions.
  • Support data science and analytics by making data readily accessible.
  • Partner with product managers, engineers, and data scientists on cloud-based solutions.
  • Identify risks and stay abreast of emerging data technologies.

Skills

Data engineering
ETL processes
SQL & NoSQL
PySpark
AWS Glue
HIPAA compliance
Cloud-based solutions
Cross-functional collaboration

Education

Bachelor's degree in IT/CS

Job description

Jahnel Group is seeking a Data Engineer for Revology, a newly formed entity delivering tech-enabled revenue cycle management to hospitals and health systems in the United States. This full-time role focuses on building and maintaining data infrastructure essential to Revology’s applications.

You will collaborate with enterprise and client leaders, translate business requirements into technical specs, and work within Agile teams to deliver scalable, cloud-based data solutions.

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