Principal Data Engineer

This Principal Data Engineer role supports the RxMax application and focuses on building scalable, secure, and resilient data platforms. The position is based in Schaumburg, IL with remote collaboration, including troubleshooting and implementing enterprise data pipelines for Commercial Rebates and Medicaid Rebate systems with CMS compliance.

Responsibilities

• Rapidly learn and apply complex healthcare domain concepts, including Rebates, Medicaid, and CMS guidelines, to deliver tailored data solutions
• Collaborate with software engineers, data architects, and business stakeholders to translate complex requirements into robust technical designs
• Establish and maintain high standards for data quality, data governance, security, and compliance across data integration workflows
• Use analytical and problem-solving skills to troubleshoot complex data pipelines, 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 improve productivity and processes
• Evaluate emerging technology trends and AI tools to inform data solution design and technical innovation
• Provide mentorship and application guidance to business and development teams to support enhancements for changing business environments
• Communicate effectively, both orally and in writing, with cross-functional engineering and business leadership stakeholders
• Maintain flexibility to work additional hours as needed to meet critical business needs and project deadlines

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 including Python, Scala, or Java
• 5+ years of experience working with cloud data platforms (AWS, Azure, or Snowflake) and big data processing frameworks (Spark or Databricks)
• Experience working with or supporting financial systems and financial data architectures
• Healthcare industry experience, including familiarity with healthcare data models and standards such as HL7, FHIR, and HIPAA compliance
• Demonstrated experience partnering with business teams from an operational standpoint
• Demonstrated use of digital and productivity-enhancing tools to streamline engineering workflows and problem-solving

Technologies

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

Benefits

• Comprehensive benefits package
• Incentive and recognition programs
• Equity stock purchase
• 401k contribution
• Salary range: $112,700 to $193,200 annually

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 with cloud data platforms (AWS, Azure, Delta Lake, or Snowflake) and big data processing frameworks (Spark or Databricks)
• Excellent oral and written communication skills with strong 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 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 ability 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)