Analytics, Full-Stack Engineer

SCAN Health Insurance•Long Beach, CA

3d•Hybrid

About The Position

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.

Requirements

Bachelor's degree in Computer Science, Data Analytics, or related field (or equivalent experience).
Hands-on experience delivering BI and reporting solutions (Power BI, Tableau, or similar) that translate data and AI-driven insights into actionable business decisions
3–6 years in data engineering, analytics engineering, or applied ML/AI, ideally in a business-aligned role delivering end-user solutions
Experience building semantic models and defining governed metrics
Strong SQL and experience with cloud analytics platforms such as Snowflake, Databricks, or similar.
Hands-on experience with ETL/ELT tools (Azure Data Factory, Coalesce, dbt, or similar).
Strong familiarity with Medicare Advantage domains (e.g., claims, enrollment, provider data, risk adjustment, Stars/quality, etc.)
Experience building ML-ready datasets and supporting data scientists in training and inference workflows.
Familiarity with LLM/NLP use cases (RAG, embeddings, vector stores)
Proficiency in Python for data engineering and light ML workflows (Pandas, PySpark, scikit-learn, or similar).
Experience working in agile delivery frameworks (Scrum/SAFe) with rapid iteration in business-facing teams.
Familiarity with agile delivery methods (Scrum/SAFe) and software (e.g. Azure DevOps, JIRA, etc).
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
Clear communicator: Can explain technical concepts to non-technical users and partner across business and technology groups
Mentorship: Serves as a mentor to help elevate BI/analytics colleagues in best practices for data engineering and AI enablement as well as delivering business value via data and analytics
Adaptability: Learns emerging AI/ML tools and healthcare regulations quickly and applies them responsibly in production environments.

Responsibilities

Collaborate with business stakeholders across the health plan to translate business needs into actionable analytic, BI, and AI-enabled solutions that deliver measurable value
Build and refine analytics-ready data sets needed for dashboards, models, and GenAI applications
Perform hands-on feature engineering and create ML-ready datasets to accelerate model development across health plan priorities such as member experience, operational efficiency, and/or clinical excellence
Implement and support AI/ML workflows such as RAG, NLP pipelines, Cortex functions, embeddings, and predictive models
Guide development of, and help maintain, semantic layers and governed metric definitions used across BI dashboards, operational reporting, and AI/ML pipelines.
Build business-facing dashboards and lightweight data-as-a-service applications (Power BI, Streamlit, or similar) that embed predictive, prescriptive, or generative insights for decision-makers
Collaborate with data scientists and AI engineers to operationalize models—ensuring datasets, features, and inference pipelines are versioned, monitored, and production-ready
Apply responsible data practices by embedding lineage, quality checks, PHI/PII protection, and responsible AI guardrails directly into your workflows
Identify and resolve data quality issues that impact business outcomes and proactively recommend data improvements to accelerate delivery of use cases
Continuously explore new AI/ML capabilities, particularly LLM- or agentic- driven workflows, and integrate them into business-facing solutions where appropriate

Benefits

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!
A competitive compensation and benefits program;
An annual employee bonus program;
Generous paid-time-off (PTO);
Eleven paid holidays per year;
Excellent Retirement Savings program;
A work-life balance;
An opportunity to become part of a team that makes a difference to our members and our community every day!