Healthcare Data Engineer for AI-Driven Insights

HHS Technology Group

Sacramento (CA)

On-site

USD 120,000 - 170,000

Full time

2 days ago
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Benefits offered by this job

Medical Insurance
Dental, Vision, Life & Disability保险
401k matching
Flexible PTO

Job summary

HHS Technology Group is seeking a Data Engineer to develop and maintain scalable data pipelines and big data solutions in a healthcare analytics context. You will work on ETL/ELT processes, data ingestion, and data integration to deliver actionable insights.

Join a fast-growing team applying data science, AI, and cloud technologies to drive data-driven decision making while ensuring HIPAA compliance and secure data transfers.

Qualifications

  • 5+ years of experience using SQL for ETL functions.
  • 5+ years of experience with Python, Scala, or Java.
  • 3+ years of experience with Apache Airflow and Apache Spark.
  • 2+ years of 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 industry standards, including 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
Visualization tools

Tools

Snowflake
Redshift
AWS
Azure

Job description

HHS Technology Group is seeking a Data Engineer to develop and maintain scalable data pipelines and big data solutions in a healthcare analytics context. You will work on ETL/ELT processes, data ingestion, and data integration to deliver actionable insights.

Join a fast-growing team applying data science, AI, and cloud technologies to drive data-driven decision making while ensuring HIPAA compliance and secure data transfers.

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