Principal Data Engineer - Remote

Job d:

Location:

Schaumburg, Illinois, United States Salary: $112,700 - $193,200/year

Job Area:
Technology Company:
United Health Group Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities.

Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us in making healthcare work better for everyone through people-led, responsible AI while Caring. Connecting. Growing together.

As a Principal Data Engineer, you will be responsible for supporting the RxMax application. In order to do so you will be learning the application and the associated business. In this role, you will work remotely and collaborate closely with cross-functional engineering, analytics, and business teams to resolve issues, suggest appropriate paths based on business requirements and support a complex financial including Commercial Rebates, and Medicaid Rebate systems.

We are seeking a highly motivated self-starter with a solid ability to quickly learn and absorb intricate business concepts, exceptional analytical skills, and strict attention to detail. You will leverage modern technologies, enterprise-approved AI tools to drive personal and team productivity, and engineering best practices to build scalable, secure, and resilient data platforms that support Centers for Medicare & Medicaid Services (CMS) compliance and drive impactful business outcomes.

You'll enjoy the flexibility to work remotely
* from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.

Primary Responsibilities:

Quickly learn, absorb, and apply complex healthcare business and domain concepts (such as Rebates, Medicaid, and CMS guidelines) to deliver tailored data solutions

Collaborate methodically with software engineers, data architects, and business stakeholders to translate complex business requirements into robust technical designs

Establish and enforce high standards for data quality, data governance, security, and compliance across all data integration workflows

Apply solid analytical and problem-solving skills to troubleshoot complex data pipelines, system performance issues, and data integration challenges

Lead the architecture, design, and implementation of scalable, high-performance data pipelines and enterprise data assets

Leverage enterprise-approved AI tools to streamline engineering workflows, automate routine data tasks, and drive continuous productivity and process improvements

Evaluate emerging technology trends and AI tools to inform data solution design and strategic technical innovation

Mentor and provide business concepts and application guidance to business teams and development teams on application enhancements to support the changing business environments

Communicate effectively (oral and written) across cross-functional engineering, business leadership, and stakeholder teams

Demonstrate flexibility and availability to work extra hours from time to time to meet critical business needs and project deadlines

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:

5+ years of experience working in production data environments while maintaining data accuracy, governance, and security standards5+ years of advanced proficiency in SQL and languages such as Python, Scala, or Java5+ years of experience working with cloud data platforms (e.g., AWS, Azure, or Snowflake) and big data processing frameworks (e.g., Spark or Databricks)
Experience working with or supporting financial systems and financial data architectures

Experience in the healthcare industry and familiarity with healthcare data models and standards (e.g., HL7, FHIR, HIPAA compliance)
Demonstrated experience working with business team from an operational standpoint

Demonstrated experience utilizing digital and productivity-enhancing tools to streamline engineering…