Data Engineer

Segwae; United States; On-site; USD 150,000 - 210,000; Full time

Job summary

Evio in the United States is seeking an experienced Data Engineer to design, develop, and maintain an AWS‑cloud‑native data platform for healthcare data.

You will build reliable ETL pipelines, design scalable architectures across data lakes and warehouses, optimize performance and costs, and enforce governance and security. Collaborate with product and analytics teams to deliver trustworthy insights.

Qualifications

• Bachelor’s degree in CS, informatics, or a related quantitative field.
• 10+ years of data engineering with demonstrated technical leadership.
• Experience with healthcare data (Medical Claims, Rx Claims).

Responsibilities

• Design, develop, and maintain an AWS‑cloud‑native data platform.
• Build reliable ETL pipelines for complex healthcare data.
• Design scalable data architectures across data lakes and warehouses.
• Optimize pipeline performance and cost.
• Enforce data governance and security.
• Partner closely with product and analytics teams.

Skills

AWS

Python

SQL

Healthcare data

ETL pipelines

Education

Bachelor's degree in CS/informatics/IS or related field

Tools

Redshift

Aurora

RDS PostgreSQL

Glue

Lambda

Step Functions

MWAA Airflow

Job description

Evio is a pharmacy solutions company founded by and serving major Blue Cross Blue Shield health plans, collectively covering 20M+ members. They're hiring an experienced Data Engineer to design, develop, and maintain their AWS‑cloud‑native data platform.

Responsibilities

• Design, develop, and maintain AWS‑cloud‑native data platform.
• Build reliable ETL pipelines for complex healthcare data.
• Design scalable data architectures across data lakes and warehouses.
• Optimize pipeline performance and cost.
• Enforce data governance and security.
• Partner closely with product and analytics teams.

Qualifications

• Bachelor's degree in Computer Science, Informatics, Information Systems, or related quantitative field.
• 10+ years of data engineering experience with demonstrated technical leadership.
• Expertise in AWS‑native data systems including Redshift, Aurora, RDS PostgreSQL, Glue, Lambda, Step Functions, and MWAA‑Airflow.
• Strong Python and SQL skills including advanced query design and database optimization.
• Experience with healthcare data (Medical Claims, Rx Claims).
• Ability to write views, stored procedures, and triggers.
• Collaborative mindset with strong delivery reliability.