Data Engineer

Who We Are:
EmpiRx Health is the leading clinically-driven pharmacy benefits management company. As the pioneer in value-based pharmacy care, EmpiRx Health puts its customers and members first by enabling them to take control of their pharmacy benefits, healthcare outcomes, and financial results.
What We Do:
We place more emphasis on member care than any other PBM by focusing on health outcomes first. Our pharmacists and clinicians are at the center of everything we do―and our population health solution delivers tailored strategies for our clients.
Leveraging our newly launched, AI-powered pharmacy care platform, Clinically™, EmpiRx Health’s pharmacists and client management teams provide the highest quality pharmacy care to our clients and their members. This enables benefits plan sponsors to keep their members healthy, happy, and productive, while substantially reducing prescription drug spending, which has been on an explosive growth trajectory in recent years.
Who We're Looking For:
EmpiRx Health is experiencing unprecedented growth, and we're seeking a highly skilled and experienced Data Engineer. In this critical role, you will be instrumental in optimizing our data architecture, ensuring data accuracy, and building scalable solutions to support the company's business needs. You will be responsible for generating high quality data extracts for clients, vendors, and partners. You will be instrumental in the developing, testing, and maintenance of internal applications. You will support business users to allow for business continuity.
What You'll Do:
As a Data Engineer, your role will encompass a wide range of responsibilities; here are a few:

• Manage inventory of Incoming and Outgoing data feeds to enable the team and the business keep up with operational and compliance requirements.
• Develop and implements new and measurably efficient ways of doing work
• Assess data ingestion/extraction pipelines/procedures on a regular basis to evaluate effectiveness and identify problems, and initiate corrective actions as needed
• Develop and harmonize healthcare clinical and claims data models, and data feeds
• Develop and maintain ETL workflows, including data transformation, validation, and loading
• Experience working with BI reporting platforms like Domo and familiarity with Power BI and SSRS

What You Need:

• Bachelor's degree in Computer Science or a related discipline
• 2+ years of Python experience
• 5+ years of RDBMS experience 
• 2+ years of Azure Databricks or ADF
• Ownership of process, preferred
• Strong time management and critical thinking skills
• Excellent communication skills 

Why Join Us:

• EmpiRx Health is on an extraordinary journey where excellence meets innovation.
• We are a collaborative team that encourages groundbreaking ideas, values open dialogue, and prioritizes continuous improvement.
• You will be part of a dynamic team where success is a shared celebration, collaboration fuels progress, and we redefine healthcare together.
• We offer a generous and competitive benefits package.
• You will share in the company's success through our discretionary bonus program.

EmpiRx Health is an Equal Opportunity Employer
EmpiRx Health is an equal opportunity employer. We are committed to creating a diverse and inclusive environment for all employees. We prohibit discrimination and harassment of any kind based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
All employment decisions are based on business needs, job requirements, and individual qualifications. We are an inclusive organization and actively promote equality of opportunity for all with the right mix of talent, skills and potential. EmpiRx Health celebrates diversity and is committed to creating an inclusive environment for all employees.
Your career at EmpiRx Health awaits – join us in shaping the future of excellence in healthcare.
**No recruiters, please**