Clinical Health Data Jobs

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Principal Data Engineer

Optum Schaumburg, IL 🇺🇸 Remote

Schaumburg, IL

Today

$113k - $193k/yr Full time Azure Big Data Bigdata

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Job Description

As a Principal Data Engineer at Optum, you will support the RxMax application by helping build and strengthen scalable, secure, and resilient data platforms. This remote role in Schaumburg, IL focuses on delivering tailored solutions, troubleshooting enterprise data pipelines, and ensuring compliance with CMS-related requirements across Commercial Rebates and Medicaid Rebate systems. You will also leverage enterprise-approved AI tools to streamline workflows, automate routine tasks, and improve engineering productivity.

What you’ll do

Learn and apply complex healthcare business domain concepts, including rebates and CMS guidelines, to deliver data solutions aligned to business needs
Partner with software engineers, data architects, and business stakeholders to translate complex requirements into robust technical designs
Define and uphold high standards for data quality, data governance, security, and compliance across data integration workflows
Troubleshoot complex data pipelines, resolve system performance issues, and address data integration challenges using analytical problem-solving skills
Lead architecture, design, and implementation of scalable, high-performance data pipelines and enterprise data assets
Use enterprise-approved AI tools to streamline engineering workflows, automate routine data tasks, and drive continuous process improvement
Evaluate emerging technology trends and AI tools to inform data solution design and strategic technical innovation
Provide mentorship and application guidance to business and development teams for enhancements that support changing business environments
Communicate effectively in both oral and written form across cross-functional engineering, business leadership, and stakeholder groups
Maintain flexibility to work additional hours as needed to meet critical business needs and project deadlines

Required experience

5+ years working in production data environments while maintaining standards for data accuracy, governance, and security
5+ years advanced proficiency in SQL and at least one language such as Python, Scala, or Java
5+ years experience with cloud data platforms (e.g., AWS, Azure, or Snowflake) and big data frameworks (e.g., Spark or Databricks)
Experience working with or supporting financial systems and financial data architectures
Healthcare industry experience and familiarity with healthcare data models and standards, including HL7, FHIR, and HIPAA compliance
Demonstrated experience working with business teams from an operational standpoint
Demonstrated ability to use digital and productivity-enhancing tools to streamline engineering workflows and problem-solving

Technologies you’ll work with

SQL, Python, Scala, Java, AWS, Azure, Snowflake, Spark, Databricks, HL7, FHIR

Benefits and compensation

Comprehensive benefits package
Incentive and recognition programs
Equity stock purchase
401k contribution
Salary range: $112,700 - $193,200 per year

Preferred qualifications

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 strong attention to detail and quality
Experience with healthcare rebate systems or Medicaid data platforms
Experience with IBMi DB2 systems and infrastructure
Experience designing, implementing, and maintaining a FISMA 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 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)

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