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Full Stack, Data & Analytics EngineerScangroup • United States
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Full Stack, Data & Analytics Engineer

Scangroup
  • US
    United States
  • US
    United States
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About

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 roledesigns, 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 willensure that data is analytics and AI-ready, support data and feature engineering, and collaborate closelywith report developers, data scientists, and AI engineers to bring predictive and prescriptive analytics, aswell as generative AI solutions, into production. Deep familiarity with healthcare data and MedicareAdvantage business processes is essential. You Will 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 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 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
What's in it for you? Base Salary Range: $92,400 to $159,133 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. #LI-JB1 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)
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