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Cityblock Health is seeking a seasoned data engineer to own the end-to-end data pipelines feeding care and analytics. You’ll shape the ingestion, transformation, and governing layers that power AI-driven decision making.
You will collaborate with BI, clinical, and product teams to ensure accurate metrics and self-serve analytics across the organization.
Job Description:
Cityblock delivers value-based care to individuals with complex needs with a particular focus on Medicaid beneficiaries and those who are dually eligible, people the healthcare system has historically underserved. Increasingly, whether a care or operational decision drives a positive outcome depends on whether a human or an AI agent can reason correctly over our data.This role owns major parts of the foundation that makes that possible. You'll take ownership across our data pipeline that will be leveraged at scale to enable people and models to arrive at the same answers that drive the care our members receive.You'll work in a dbt Mesh on BigQuery (GCP), with ingestion orchestrated through Dagster. The data you handle spans claims (medical and pharmacy), eligibility and enrollment rosters, EHR data, and HIE/FHIR feeds. You’ll work with data from our internally developed care management platform, vendor systems, and pull that data through to our semantic layer.You will treat data quality as the product
Across operational data systemsYou'll improve the quality of member identity and eligibility data that determines who is an active member and gates every downstream clinical and financial workflow.
Build and maintain the ingest and transformation systems that turn raw partner data into something dependable, from correctness through freshness to reliability.
Own the reverse-ETL layer that feeds the operational data that directly impacts the efficiency and effectiveness of the execution of Cityblock's care model.
Support clinical performance evaluation and value-based contracts through a quality measurement pipeline that produces HEDIS and Stars metrics
Across the semantic and metrics layerDefine and maintain the semantic and metrics layer so each metric has one correct definition, applied consistently across every dashboard and every consumer.
Make metrics machine-readable and well-constrained, so an AI agent querying them gets a correct answer because the layer bounds what it can conclude.
Build self-serve analytics so stakeholders can answer their own questions against definitions they can trust.
Across teamsFeed the Applied AI product work the grounded, trustworthy context its features depend on.
Partner with BI and clinical stakeholders so the definitions in the semantic layer match how the business actually reasons about itself.
Work with the platform team so agents query your data through governed, well-understood paths.
Cityblock values diversity as a core tenet of the work we do and the populations we serve. We are an equal opportunity employer, indiscriminate of race, religion, ethnicity, national origin, citizenship, gender, gender identity, sexual orientation, age, veteran status, disability, genetic information, or any other protected characteristic.We do not accept unsolicited resumes from outside recruiters/placement agencies. Cityblock will not pay fees associated with resumes presented through unsolicited means.