Alliance Health is a regional health plan serving residents across several North Carolina counties. It administers Medicaid and state-funded behavioral health and specialty services, with Tailored Plan coverage and Medicaid Direct options that bring together physical health, pharmacy, behavioral health, intellectual and developmental disability, and traumatic brain injury care. The organization coordinates services through provider networks and governance committees, and supports members and providers with portals, community outreach, training, and 24/7 behavioral health crisis support.
Analytics Engineer
Modernize healthcare data pipelines, semantic models, and business intelligence assets. Connect data engineering and analytics to support scalable, governed enterprise data initiatives.
United States
North Carolina$83,510 – $106,475 / year
HybridFull-timeMiddleSeniorEnglish RequiredAnalytics EngineerDescription
- Build and manage scalable pipelines that turn raw data into analytics-ready assets.
- Create and maintain complex DAGs to run workflows and manage dependencies.
- Develop advanced extraction, loading, and transformation processes for data preparation and cleansing.
- Design and maintain semantic models with Strategy BI and Mosaic.
- Build and scale metrics stores, semantic layers, and analytical cubes for enterprise self-service analytics.
- Use cloud enterprise data platforms to work with large datasets and modern data engineering workflows.
- Manage Strategy BI databases and improve their integration with analytics pipelines.
- Use AI-assisted tools to develop code, document work, and solve technical problems.
- Check AI-generated code and outputs for accuracy and reliability.
- Work with Data Analytics and Data Science teams to define and deliver data requirements and datasets.
- Partner with Data Governance to create secure, compliant, high-quality enterprise data assets.
- Turn needs from Quality Management and Medical Economics into analytical solutions and data products.
- Use version control, CI/CD, and automated orchestration across the analytics lifecycle.
- Connect data management practices with business needs in domain teams to support federated analytics architectures.
Requirements
- Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field from an accredited college or university.
- At least three years of experience designing and operating data analytics pipelines.
- Experience building and managing scalable analytics pipelines with a modern data stack, including dbt and dlt.
- Expertise developing and maintaining complex directed acyclic graphs (DAGs).
- Expertise designing and managing semantic layers, metrics stores, and analytical cubes with Strategy and Mosaic.
- Proficiency with Databricks and SQL Server.
- Proficiency managing PostgreSQL and SQL Server environments, including schema design, indexing, and performance tuning.
- Ability to use AI-driven tools such as GitHub Copilot.
- Proficiency with Git, CI/CD, and automated orchestration.
- Ability to translate complex business metrics and KPIs into technical artifacts.
- Advanced SQL and Python skills.
- A satisfactory background and credit check is required after offer acceptance and before the start date.
Benefits
- Medical, dental, vision, life, and long-term disability insurance.
- Retirement savings plan.
- Flexible schedules, including hybrid and remote options.
- Paid vacation, sick leave, holidays, and management leave.
- Flexible dress code.