Senior Data Engineer - Remote Healthcare Data Platform

ExactCare Pharmacy; Northern (KY); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

401(k) with company match

Medical, dental, vision benefits

Paid time off

Job summary

AnewHealth is seeking a Senior Data Engineer to design and implement scalable data solutions for Pharmacy Benefit Management clients. You will work with cross-functional teams in an Agile environment to deliver robust ETL processes, data models, and BI reports that support financial and clinical outcomes.

You will leverage SQL Server, Azure/AWS data services, and modern data warehousing patterns, while ensuring compliance with healthcare data standards and security requirements.

Qualifications

• Bachelor’s degree in Computer Science or related field or 4+ years of related experience.
• 10+ years of SQL database development and data warehousing experience.
• Experience with cloud-based database solutions and data integration tools.

Responsibilities

• Design, develop and deliver data solutions per requirements and timelines.
• Maintain and optimize SQL/ETL processes and reports.
• Collaborate with Product Owner and cross-functional teams in Agile environment.
• Provide technical leadership and mentorship to junior engineers.

Skills

Communication

Teamwork

Problem-solving

Agile/Scrum

Mentorship

Education

Bachelor’s degree in Computer Science or related field

Master’s degree preferred

Tools

SQL Server (SSIS/SSRS/SSMS/SSAS)

Azure SQL Database

AWS RDS

PowerShell

Python

Visual Studio

Power BI/Tableau

NoSQL/Big Data (MongoDB, Cassandra)

Hadoop/Spark

Job description

AnewHealth is seeking a Senior Data Engineer to design and implement scalable data solutions for Pharmacy Benefit Management clients. You will work with cross-functional teams in an Agile environment to deliver robust ETL processes, data models, and BI reports that support financial and clinical outcomes.

You will leverage SQL Server, Azure/AWS data services, and modern data warehousing patterns, while ensuring compliance with healthcare data standards and security requirements.