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SCAN · 1 day ago

Analytics, Full-Stack Engineer

Long Beach Office 3800

Full-time

Hybrid

Mid, Senior Level

$106K/yr - $154K/yr

3+ years exp

SCAN Group is a not-for-profit organization dedicated to tackling the most pressing issues facing older adults in the United States. They are seeking a Full-Stack Data and Analytics Engineer to design, develop, and deliver end-to-end solutions, including data pipelines and AI/ML workflows, while collaborating with various stakeholders to enhance healthcare analytics.

Elder CareHealth CareHome Health CareMedical

Comp. & Benefits

H1B Sponsor Likely

Responsibilities

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

Qualification

Data engineeringAI/ML workflowsHealthcare data expertiseSQLPythonETL/ELT toolsCloud data platformsNLP use casesBusiness acumenCollaborationProblem solvingAdaptability

Required

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)

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

Preferred

Experience with transformer models such as BERT

Benefits

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

Company

SCAN

About SCAN Keeping Seniors Healthy and Independent–that’s been our mission for more than 40 years.

Founded in 1977

Long Beach, California, USA

1001-5000 employees

https://www.thescangroup.org/

H1B Sponsorship

SCAN has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2025 (5)

2024 (3)

2023 (6)

2022 (6)

2021 (5)

2020 (6)