Sr. Healthcare Analytics Engineer- Hybrid- MD Live

Cigna Group • Raleigh, NC

11h • Hybrid

About The Position

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. What you’ll do to make a difference : 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. What you’ll need to succeed: 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 What Sets You Apart: 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. 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. For this position, we anticipate offering an annual salary of 131,700 - 219,500 USD / yearly, depending on relevant factors, including experience and geographic location. This role is also anticipated to be eligible to participate in an annual bonus plan. 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 . About Evernorth Health Services Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives. Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws. If you require reasonable accommodation in completing the online application process, please email: [email protected] for support. Do not email [email protected] for an update on your application or to provide your resume as you will not receive a response. The Cigna Group has a tobacco-free policy and reserves the right not to hire tobacco/nicotine users in states where that is legally permissible. Candidates in such states who use tobacco/nicotine will not be considered for employment unless they enter a qualifying smoking cessation program prior to the start of their employment. These states include: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Ohio, Pennsylvania, Texas, Utah, Vermont, and Washington State. Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances.

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.
• 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.
• 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

• health-related benefits including medical, vision, dental, and well-being and behavioral health programs
• 401(k)
• company paid life insurance
• tuition reimbursement
• a minimum of 18 days of paid time off per year
• paid holidays

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees