Data Engineer — Healthcare Analytics & Data Pipelines

HHS Tech Group; Sacramento (CA); Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Generously sponsored Medical Insurance

Fully paid premiums on dental, vision,

life, and disability insurance.

Generous 401k matching program

Flexible PTO policy

Job summary

HHS Tech Group is seeking a Data Engineer DyD to join our growing team in delivering data-driven healthcare insurance solutions. You will architect and maintain scalable data pipelines for ETL/ELT, build big data analytics, and collaborate with stakeholders to translate business requirements into technical solutions.

This role emphasizes data security (HIPAA), data quality, and modern cloud technologies (AWS/Azure).

Qualifications

• 5+ years’ experience with SQL for ETL.
• 5+ years’ experience with Python, Scala, or Java.
• 3+ years’ experience with Airflow and Spark.
• 2+ years’ experience with Snowflake or Redshift.
• 2+ years’ experience with visualization and analytics tools.

Responsibilities

• Develop and maintain scalable data pipelines for ETL/ELT.
• Design, build, and maintain big data solutions for analytics and reporting.
• Optimize and automate data processing workflows.
• Ensure data security and HIPAA-compliant transfers.
• Implement data quality rules and automated testing frameworks.
• Translate business requirements into technical solutions.

Skills

SQL

Python/Scala/Java

Airflow

Spark

Data visualization

Tools

Snowflake

Redshift

NodeJS

ReactJS

Great Expectations

Job description

HHS Tech Group is seeking a Data Engineer DyD to join our growing team in delivering data-driven healthcare insurance solutions. You will architect and maintain scalable data pipelines for ETL/ELT, build big data analytics, and collaborate with stakeholders to translate business requirements into technical solutions.

This role emphasizes data security (HIPAA), data quality, and modern cloud technologies (AWS/Azure).