Job summary
Job post source
This job is directly from MedImpact Healthcare Systems, Inc.
Job overview
The Principal Data Engineer at MedImpact Healthcare Systems, Inc. leads data architecture and strategy to support business intelligence and AI/ML, impacting healthcare value through innovative data solutions.
Responsibilities and impact
The role involves designing scalable data infrastructure, leading technical teams, ensuring data governance and quality, collaborating with business stakeholders, and managing staff and client relationships.
Compensation and benefits
The salary range is $132,323 to $240,828 with comprehensive pay and benefits discussed at offer stage, including medical, dental, vision, wellness programs, paid time off, 401K with company match, life and disability insurance, tuition reimbursement, and employee referral bonuses.
Experience and skills
Requires a BA/BS degree with 8+ years related experience and SME expertise, 4+ years leading teams, mastery in data architecture, ETL, SQL and NoSQL databases, programming skills in Python or Java, knowledge of HIPAA compliance, and experience with MLOps and AI/ML model deployment.
Career development
Opportunities include leadership development through internal mentorship with senior leaders and participation in external leadership training programs within 12 months of hire.
Work environment and culture
MedImpact values innovation, teamwork, high performance, and making a difference in healthcare value, emphasizing collaboration and customer service in a supportive environment.
Company information
MedImpact Healthcare Systems, Inc. is a privately-held pharmacy benefit manager headquartered in San Diego, providing pharmaceutical and technology solutions to improve healthcare outcomes and costs in the U.S. and international markets.
Team overview
The candidate will manage assigned staff and collaborate with BI developers, data scientists, application engineering, and DevOps teams, leading matrix teams as needed.
Job location and travel
This position requires on-site work at MedImpact's San Diego headquarters with no remote work option; local travel to conferences and meetings may be required.
Application process
Applicants should submit their resume via www.medimpact.com/careers to explore opportunities and apply for the position.
Unique job features
The role includes unique responsibilities such as leading data migration to modern data stacks, protecting intellectual property, and ensuring HIPAA compliance in data governance frameworks.
Company overview
MedImpact Healthcare Systems, Inc. is a pharmacy benefit management (PBM) company that provides pharmacy solutions to health plans, self-funded employers, and government entities. They make money by managing prescription drug benefits, negotiating drug prices with manufacturers, and ensuring cost-effective medication use. Founded in 1989, MedImpact has grown to become one of the largest independent PBMs in the United States, known for its innovative technology and data-driven approach to improving healthcare outcomes.
How to land this job
Tailor your resume to emphasize mastery in data architecture, ETL tools, and scalable data infrastructure aligned with AI/ML needs, highlighting leadership in migrating to modern data stacks and designing fault-tolerant pipelines.
Showcase your experience mentoring technical teams, leading cross-functional collaborations, and driving performance optimization, with examples of managing matrix teams and influencing change without formal authority.
Apply through multiple channels including MedImpact's corporate careers page at www.medimpact.com/careers and LinkedIn to maximize your application visibility for the Principal Data Engineer role.
Connect on LinkedIn with MedImpact’s IT and data engineering professionals; use ice breakers like commenting on recent innovations in healthcare data management or asking about their approach to HIPAA compliance and AI/ML deployment.
Optimize your resume for ATS by including keywords from the job description such as 'data governance,' 'HIPAA compliance,' 'streaming data architectures,' 'Python,' 'MLOps,' and 'data observability' to ensure it passes initial screenings.
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