Analytics, Full-Stack Engineer at SCAN Health Plan in Long Beach, CA

Founded in 1977 as the Senior Care Action Network, SCAN began with a simple but radical idea: that older adults deserve to stay healthy and independent. That belief was championed by a group of community activists we still honor today as the “12 Angry Seniors.” Their mission continues to guide everything we do.

Today, SCAN is a nonprofit health organization serving more than 500,000 people across Arizona, California, Nevada, New Mexico, Texas, and Washington, with over $8 billion in annual revenue. With nearly five decades of experience, we have built a distinctive, values-driven platform dedicated to improving care for older adults.

Our work spans Medicare Advantage, fully integrated care models, primary care, care for the most medically and socially complex populations, and next-generation care delivery models. Across all of this, we are united by a shared commitment: combining compassion with discipline, innovation with stewardship, and growth with integrity.

At SCAN, we believe scale should strengthen—not dilute—our mission. We are building the future of care for older adults, grounded in purpose, accountability, and respect for the people and communities we serve.

The Job

Serve as a full-stack data and analytics engineer within a business-aligned scrum team. This role designs, develops, and delivers end-to-end solutions—including data pipelines, models, semantic layers, and visualizations—while playing a hands-on role in enabling AI/ML use cases. In this role you will ensure that data is analytics and AI-ready, support data and feature engineering, and collaborate closely with report developers, data scientists, and AI engineers to bring predictive and prescriptive analytics, as well as generative AI solutions, into production. Deep familiarity with healthcare data and Medicare Advantage business processes is essential.

You Will

• Collaborate with business stakeholders across the health plan to translate business needs into actionable technical and AI/ML-enabled solutions.
• Design, build, and maintain production-grade data pipelines using Azure Data Factory, Coalesce, Snowflake, and SQL to prepare data for analytics and ML workloads.
• Engineer features and ML-ready datasets to support data scientists and AI engineers in model training, validation, and deployment for use cases like risk stratification, care management, and provider performance.
• Model Training and Optimization: Train AI models and optimize their performance to ensure they meet business requirements.
• Contribute to the design and implementation of AI/ML workflows, including Retrieval-Augmented Generation (RAG), NLP pipelines, Snowflake Cortex, and predictive models that improve plan operations and member experience.
• Develop semantic data models and metric definitions to ensure consistent use of features, metrics, and business rules across AI/ML solutions and BI dashboards.
• Create business-facing dashboards and applications (Power BI, Streamlit) that integrate predictive or AI-driven insights for decision-makers.
• Support MLOps practices by helping implement automated testing, monitoring, and model versioning within CI/CD pipelines.
• Optimize data and ML environments in Snowflake and Databricks for performance, cost efficiency, and scalability of AI/ML workloads.
• Ensure governance and compliance by embedding lineage, PHI/PII protection, and Responsible AI considerations into data engineering workflows, consistent with CMS and HIPAA requirements.

• We seek Rebels who are curious about AI and its power to transform how we operate and serve our members.

• Actively support the achievement of SCAN’s Vision and Goals.

• Other duties as assigned.

Your Qualifications

• Required to work PST time zone.
• Bachelor’s degree in Computer Science, Data Analytics, or related field (or equivalent experience).
• 3–6 years of experience in data engineering, analytics engineering, or applied ML/AI.
• Strong SQL skills and practical experience with modern cloud data platforms (Snowflake, Databricks, or similar).
• Hands-on experience with ETL/ELT tools (Azure Data Factory, Coalesce, dbt, or similar).
• Experience in healthcare data, particularly within Medicare Advantage health plans—claims, enrollment, provider, risk adjustment, and quality (HEDIS/Star ratings).
• Experience supporting AI/ML workflows—feature engineering, ML-ready datasets, and/or deploying models into production.
• Strong familiarity with LLM or NLP use cases (RAG, embeddings, vector databases); experience with transformer models such as BERT preferred.
• Proficiency in Python for data and ML engineering (Pandas, PySpark, scikit-learn, or similar).
• Familiarity with agile delivery methodologies (Scrum/SAFe).
• Healthcare & Medicare Advantage expertise: Understands health plan data domains (claims, provider, member, risk adjustment, quality) and how analytics/AI/ML can improve outcomes.
• AI/ML Enablement: Comfortable working side-by-side with data scientists and ML engineers to ensure models are production-ready, performant, and aligned to healthcare business needs.
• Full-stack mindset: Ability to span the data lifecycle—back-end pipelines, semantic models, and front-end dashboards—integrating AI insights along the way.
• Business acumen: Connects technical work to strategic health plan objectives, such as Stars improvement, member engagement, and cost management.
• Problem solving: Resourceful in handling structured and unstructured healthcare data, able to design innovative solutions for AI/ML pipelines.
• Collaboration & communication: Works seamlessly with business, analytics, and AI/ML colleagues; explains technical work to diverse stakeholders
• Adaptability: Learns emerging AI/ML tools and healthcare regulations quickly and applies them responsibly in production environments.

What's in it for you?

• Base Salary Range: $106,200 to $153,705 annually

• An annual employee bonus program

• Robust Wellness Program

• Generous paid-time-off (PTO)

• 11 paid holidays per year, 1 floating holiday, birthday off, and 2 volunteer days

• Excellent 401(k) Retirement Saving Plan with employer match

• Robust employee recognition program

• Tuition reimbursement

• An opportunity to become part of a team that makes a difference to our members and our community every day!

We're always looking for talented people to join our team!  Qualified applicants are encouraged to apply now!

At SCAN we believe that it is our business to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects our community through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more.

SCAN is proud to be an Equal Employment Opportunity and Affirmative Action workplace. Individuals seeking employment will receive consideration for employment without regard to race, color, national origin, religion, age, sex (including pregnancy, childbirth or related medical conditions), sexual orientation, gender perception or identity, age, marital status, disability, protected veteran status or any other status protected by law. A background check is required.

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Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c)