Lead Analytics Engineer – Data Modeling, Quality

🕒 May 28

🇺🇸 United States – Remote

💵 $160k - $185k / year

⏰ Full Time

🟠 Senior

📊 Analytics Engineer

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👻 Ghost score 19%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Arcadia

WebsiteLinkedInAll Job Openings

201 - 500 employees

🏥 Healthcare

💼 Consulting

💰 $29.5M Venture Round on 2020-01

Healthcare • Consulting

Arcadia is dedicated to happier, healthier days for all. We transform diverse data into a unified fabric for health. Our platform delivers actionable insights for our customers to advance care and research, drive strategic growth, and achieve financial success.

📋 Description

• Author, review, and maintain DBT models using Spark/Hudi from ingest through bronze and silver • Help clients understand data models, assumptions, and limitations through intentional validation • Troubleshoot and fix issues, then write DBT tests proactively • Optimize SQL performance for slow-running jobs • Partner with Data Engineering on Hudi table design, partition strategy, and incremental patterns • Triage and classify data quality alerts • Design and maintain volume and data-quality monitors • Author and apply clinical data-quality and claims-validation rules across silver and gold layers • Conduct quality reviews for connector promotions • Own the ticket queue for data-quality, attribution, hierarchy, and customer-specific issues • Lead data-quality reviews during connector installation and promotion • Partner with Data Engineering on root-cause triage • Coordinate with the Measure Implementation Team when data-quality issues affect quality-measure scores • Contribute to and enforce data-modeling standards across teams • Independently resolve pipeline data-quality issues • Author or refactor DBT models and design DBT test suites

🎯 Requirements

• Bachelor's or Master's degree in Computer Science, Statistics, Business, Economics, or a related field • Advanced SQL, including window functions, complex CTEs, aggregation patterns, and performance tuning on columnar databases • Hands-on DBT experience authoring models, tests, macros, and YAML documentation; familiarity with incremental strategies • Working knowledge of healthcare claims data, clinical EHR entities, and quality dimensions • Ability to differentiate source-data issues from transformation issues • Ability to design systematic validation checks and communicate data-quality findings clearly • Clear communication with clients and non-technical stakeholders • Strong analytical judgment • Ability to manage several projects simultaneously and use AI tooling efficiently • Genuine desire to learn and apply AI tools • Experience with Spark SQL and Hudi table format • Familiarity with data-quality monitoring tools • Comfort using Claude in an AI-first environment • Exposure to population-health analytics concepts, including HEDIS, risk adjustment, and value-based-care metrics • Python scripting for data investigation and automation • Experience with Argo Workflows or similar orchestration platforms • Knowledge of healthcare data standards including ICD-10, CPT, NDC, LOINC, and NPI

🏖️ Benefits

• Flexible, fully remote work environment with the resources and support to do your best work • Exposure to senior leaders • Cutting-edge AI tools and an AI-first environment • Meaningful impact on healthcare data operations • Mission-driven company transforming the healthcare industry • Membership in the diverse and purpose-driven Arcadian Community