Sr. Healthcare Analytics Engineer- Hybrid- MD Live

The Cigna Group • Normandy, MO

1d • Hybrid

About The Position

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Our people make all the difference in our success.
Join MD Live by Evernorth, a leader in virtual healthcare and technology innovation. As a Sr. Healthcare Analytics Engineer, you will help architect and scale our next-generation analytics platform that will power our reporting, advanced analytics, and real-time data insights. You will own and maintain the enterprise analytics data model, ensuring scalability, accuracy, and alignment with business requirements.

Requirements

• Bachelor’s degree Actuarial Science, Data Science, Computer Science, Engineering, or related field required. Master’s degree preferred.
• 7+ years of experience in data engineering, analytics engineering, or a related field.
• 5+ years of hands-on experience with cloud platforms and modern data stacks.
• 5+ years of functional leadership experience, including mentoring junior engineers and driving technical strategy.
• You will use many the following tools, frameworks, and platforms daily with high proficiency: Cloud & Data Platforms: AWS or Azure; Databricks.
• Data Modeling: Relational, Dimension, Entity, Graph, Semantic
• Data Analytics: SQL (Window functions, CTEs, Stored Procedures) & Python (Pandas, NumPy, SciPy, Duck DB).
• Data Integration: FHIR, HL7, Kafka
• Transformation & Orchestration: dbt (Data Build Tool); Prefect or Airflow
• Workflow & DevOps: GitHub, Azure DevOps, and Jira.
• You live and breathe the world of healthcare data and have exposure to many of the following terminologies, applications, and metrics: Data Sources: Medical Claims, Rx/Pharmacy Claims, EHR/Clinical Data, ADT Feeds, Eligibility, Premium
• Coding Standards: ICD-10, CPT, DRG, HCPCS, Revenue Codes, APC, NDC, RxNorm, POS, NPI, TIN, Taxonomy, RVU.
• Reimbursement Models: MPFS, OPPS, and IPPS.
• Key Metrics: Member Months, PMPM, U/K, MLR, RAF, LOS, Churn, and Attribution.
• Risk & Quality: HEDIS, MIPS, eCQM, HCC
• If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload.

Nice To Haves

• Analyst DNA: You have worked as an analyst, so you understand the frustration of messy data and build the clean, reliable tables you wish you had.
• Collaborative Core: You view cross-functional partnerships (data engineering, product, and reporting) as key to success, ensuring infrastructure works seamlessly between groups.
• Resilient Design: You create robust and adaptable data models that are flexible enough to evolve quickly with the business yet stable enough for enterprise reporting.
• Documentation: You understand that analytics without documentation is incomplete, maintaining pristine data lineage and metric definitions.

Responsibilities

• Analytics Architecture: Design and implement robust cloud-native data architectures and models that serve as the single source of truth for clinical and operational data.
• Pipeline Engineering: Implement and maintain logic that transforms raw healthcare data (claims, EHR) utilized in reporting, and advanced analytics models.
• API & Integration Strategy: Lead the engineering of high-throughput data exchanges using modern standards and APIs for internal and external partners.
• Validation & Governance: Work closely with data advisors to test and validate pipelines and enforce rigorous data quality standards.

Benefits

• At The Cigna Group, you’ll enjoy a comprehensive range of benefits, with a focus on supporting your whole health. Starting on day one of your employment, you’ll be offered several health-related benefits including medical, vision, dental, and well-being and behavioral health programs. We also offer 401(k), company paid life insurance, tuition reimbursement, a minimum of 18 days of paid time off per year and paid holidays. For more details on our employee benefits programs, click here.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level