Data Engineer: Healthcare Analytics & Data Pipelines

HHS Technology Group; Sacramento (CA); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

401k Matching

Flexible PTO

Job summary

HHS Technology Group seeks a Data Engineer to build scalable data pipelines for the healthcare insurance domain, driving data ingestion, integration, and analytic insights. You will contribute to data platforms that empower data-driven decision making and healthcare outcomes.

The role emphasizes collaboration with stakeholders, adherence to HIPAA, and implementing automated testing and data quality controls in a cloud-based environment.

Qualifications

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

Responsibilities

• Develop and maintain scalable data pipelines to support ETL/ELT processes.
• Design, build, and maintain big data solutions for analytics and reporting.
• Optimize and automate data processing workflows.
• Ensure data security and compliance with HIPAA and secure data transfers.
• Implement data quality rules, automated testing frameworks, and validation processes to ensure data integrity.
• Work with stakeholders to understand business requirements and translate them into technical solutions.

Skills

SQL

Python/Scala/Java

Airflow

Spark

Data visualization tools

Tools

Snowflake/Redshift

Job description

HHS Technology Group seeks a Data Engineer to build scalable data pipelines for the healthcare insurance domain, driving data ingestion, integration, and analytic insights. You will contribute to data platforms that empower data-driven decision making and healthcare outcomes.

The role emphasizes collaboration with stakeholders, adherence to HIPAA, and implementing automated testing and data quality controls in a cloud-based environment.