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The Muse Logo The Muse · IT - Software Development

Lead Analytics Engineer - Data Modeling & Quality

United States · Job Posted May 30, 2026
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Job Description

Arcadia is the only healthcare data and software company dedicated to healthcare organizations achieving financial success in value-based care. Arcadia's data platform powers population health analytics for health plans, ACOs, and provider groups across the country. As a Lead Analytics Engineer — Data Modeling & Quality, you sit at the intersection of data quality ownership and analytical data modeling. You'll own the SQL and DBT layer that transforms raw clinical and claims data into trusted, production-grade datasets, while also serving as the quality authority for the data those models produce.

Job Responsibility

  • DATA MODELING & DBT DEVELOPMENT: Author, review, and maintain DBT models using Spark/Hudi from ingest through bronze and silver
  • Help clients understand their data model, assumptions, and limitations through intentional validation
  • Troubleshoot and fix issues, then write DBT tests to catch issues proactively
  • Optimize SQL performance for slow-running jobs
  • Partner with Data Engineering on Hudi table design, partition strategy, and incremental patterns
  • DATA QUALITY OWNERSHIP: Triage and classify data quality alerts, distinguishing source-level issues from transform-layer failures
  • Design and maintain volume monitors and DQ monitors (null rate, distribution, future-date checks)
  • Author and apply clinical DQ rules (entity volume, field coverage, LOINC coverage, referential integrity) and claims validation rules across silver and gold layers
  • Conduct quality reviews for connector promotions — evaluating silver entity coverage, validation rule pass rates, and bronze-to-silver transformation correctness
  • Own the ticket queue for DQ, attribution, hierarchy, and customer-specific data quality issues, writing clear customer-facing findings
  • CROSS-FUNCTIONAL QUALITY COLLABORATION: Lead data quality reviews during connector installation and promotion (UAT → PRD), including claims validation playbooks and null analysis
  • Partner with Data Engineering on root-cause triage for errors, ingress anomalies, and silver table issues surfaced through data quality monitoring
  • Coordinate with the Measure Implementation Team (MIT) when data quality issues affect quality measure scores
  • Contribute to and enforce data modeling standards across teams

Requirements

  • Advanced SQL: window functions, complex CTEs, aggregation patterns, performance tuning on columnar databases
  • DBT: hands-on experience authoring models, tests, macros, and yml documentation
  • familiarity with incremental strategies
  • Healthcare data literacy: working knowledge of claims data (professional, institutional, pharmacy), clinical data (EHR entities), and common quality dimensions (member months, coverage rates, null patterns)
  • Data quality mindset: ability to differentiate source data issues from transform issues, design systematic validation checks, and communicate data quality findings clearly
  • Clear communicator — able to translate technical findings for clients and non-technical stakeholders
  • Strong analytical judgment — you can look at a distribution and know when something is wrong
  • Ability to manage several projects simultaneously, leveraging AI tooling to stay organized and efficient
  • Genuine desire to learn and apply AI tools for operational efficiency

Nice to have

  • Experience with Spark SQL and Hudi table format
  • Familiarity with data quality monitoring tools
  • Comfortable operating in an AI-first environment using Claude to build/verify various day-to-day workflows
  • Exposure to population health analytics concepts: HEDIS measures, risk adjustment, value-based care metrics
  • Python scripting for data investigation and automation
  • Experience with Argo Workflows or similar orchestration platforms
  • Healthcare data standards: ICD-10, CPT, NDC, LOINC, NPI

What we offer

  • Pet Insurance
  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • FSA
  • HSA
  • HSA With Employer Contribution
  • Life Insurance
  • Short-Term Disability
  • Long-Term Disability
  • Fitness Subsidies
  • Mental Health Benefits
  • Family Support Resources
  • Non-Birth Parent Or Paternity Leave
  • Adoption Leave
  • Fertility Benefits
  • Birth Parent Or Maternity Leave
  • Hybrid Work Opportunities
  • Flexible Work Hours
  • Remote Work Opportunities
  • Casual Dress
  • Pet-Friendly Office
  • Snacks
  • Company Outings
  • Commuter Benefits Program
  • Paid Vacation
  • Unlimited Paid Time Off
  • Paid Holidays
  • Personal/Sick Days
  • Leave Of Absence
  • 401(K) With Company Matching
  • 401(K)
  • Performance Bonus
  • Work Visa Sponsorship
  • Promote From Within
  • Access To Online Courses
  • Lunch And Learns
  • Diversity, Equity, And Inclusion Program
  • Employee Resource Groups (ERG)
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