Principal Data Engineer - Remote

UnitedHealth Group•Schaumburg, IL

1d•$112,700 - $193,200•Remote

About The Position

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.

Requirements

5+ years of experience working in production data environments while maintaining data accuracy, governance, and security standards
5+ years of advanced proficiency in SQL and languages such as Python, Scala, or Java
5+ 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 workflows and problem-solving

Nice To Haves

Bachelor’s degree in Computer Science, Data Engineering, Information Technology, or a related field
Relevant cloud or data platform certifications (e.g., AWS Certified Data Analytics, Snowflake SnowPro Core, or Databricks Certified Data Engineer)
5+ years of experience working with cloud data platforms (e.g., AWS, Azure, Delta Lake or Snowflake) and big data processing frameworks (e.g., Spark or Databricks)
Excellent oral and written communication skills with solid attention to detail and quality
Experience working with healthcare Rebates systems or Medicaid data platforms
Experience with IBMi DB2 systems and infrastructure
Experience designing, implementing, and maintaining a FISMA (Federal Information Security Modernization Act) compliant environment supporting federal government applications and data
Solid knowledge of NIST 800-53 security controls, risk management frameworks (RMF), security authorization (ATO), and continuous monitoring practices
Experience implementing and managing security controls across cloud and on-premises environments, including identity and access management, encryption, vulnerability management, audit logging, and incident response
Demonstrated capability to rapidly learn, absorb, and apply complex business domain concepts
Demonstrated ability to work independently and collaboratively in a fast-paced environment under strict time constraints and shifting priorities
Knowledge of Centers for Medicare & Medicaid Services (CMS) regulations, guidelines, or data standards
Experience with streaming data architectures and real-time processing platforms (e.g., Apache Kafka, Spark Streaming)

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