Note: The job is a remote job and is open to candidates in USA. Arcadia provides a healthcare data platform that transforms clinical and claims data into a unified foundation for population health analytics. The Lead Analytics Engineer — Data Modeling & Quality will own DBT and SQL data modeling, troubleshoot and improve data quality, and partner with engineering and clients to deliver trusted production datasets.
Responsibilities
- 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 table design, partition strategy, and incremental patterns
- 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
- 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
Skills
- Bachelor's or Master's degree in Computer Science, Statistics, Business, Economics, or a related field
- 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
- 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
Benefits
- Flexible, fully remote work environment with the resources and support to do your best work
- Exposure to senior leaders
- Use cutting-edge tools to accelerate your work and shape how the team operates in an AI-first environment
- Make a meaningful impact on healthcare data operations by improving the quality, reliability, and trustworthiness of data that drives patient care decisions
- Be a part of a mission driven company that is transforming the healthcare industry
- Become a member of the talented, energized, diverse and purpose-driven Arcadian Community
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