Healthcare Data Engineer: Pipelines & Analytics

Acentra Health; United States; On-site; USD 98,720 - 123,400; Full time

Benefits offered by this job

Comprehensive health plans

Paid time off

Retirement savings

Educational assistance

Corporate discounts

Job summary

Acentra Health is seeking a Data Engineer to design, develop, and maintain data pipelines that enhance data collection and analysis in healthcare. The role requires strong programming skills, particularly in Python and SQL, as well as experience with data integration tools and cloud platforms.

Join Acentra Health to be part of a mission-driven team dedicated to improving health outcomes through technology and data. A solid background in healthcare data standards and data governance principles will be essential for success in this position.

Qualifications

• Proven experience as a Data Engineer or similar role with a focus on healthcare data.
• Hands-on experience with data integration tools and ETL frameworks.
• Understanding of data governance principles and data quality management.

Responsibilities

• Design and implement scalable and efficient data pipelines to integrate data.
• Collaborate with teams to define data requirements for data-driven initiatives.
• Monitor and troubleshoot data pipeline performance and optimize systems.

Skills

Python

SQL

Tableau

Powerbi

Apache Hadoop

Apache Spark

Data integration tools

Data modeling

Cloud platforms (AWS, Azure, GCP)

Education

Bachelor’s degree or equivalent experience

Tools

ETL/ELT frameworks

Data warehousing concepts

Job description

Acentra Health is seeking a Data Engineer to design, develop, and maintain data pipelines that enhance data collection and analysis in healthcare. The role requires strong programming skills, particularly in Python and SQL, as well as experience with data integration tools and cloud platforms.

Join Acentra Health to be part of a mission-driven team dedicated to improving health outcomes through technology and data. A solid background in healthcare data standards and data governance principles will be essential for success in this position.