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Analytics Engineer 2

Role overview

Qualifications

  • 6+ Years of Analytics Data Engineering
  • Extensive experience in senior analytics engineering or data roles
  • Mastery in SQL, dbt, Python
  • Experience with workflow orchestration platforms (Dagster/Airflow)

Responsibilities

  • Architect, build, and optimize enterprise-grade analytical data models using dbt Core/Cloud and complex SQL
  • Develop and optimize scalable pipelines to process large volumes of healthcare datasets
  • Design, automate, and monitor production-grade DAGs using orchestration frameworks like Dagster
  • Collaborate with Data Engineering, Governance, and BI teams to ensure seamless ELT integration

Key facts

  • Remote from: New Jersey (USA)
  • Full time
  • Senior (5-10 years)
  • Analytics Engineer
  • English

Hard skills

Other skills

  • Collaboration
  • Problem Solving

About the company

Cityblock Health logo

Cityblock Health

Hospitals & Health Care

Cityblock was founded in 2017 as the first tech-driven provider for communities with complex needs. We deliver better care to where it’s needed most, investing upstream in highly personalized, prevention-oriented health and social care to ultimately drive down costs and improve outcomes. Our tech enables scale by bringing together practical information, coordination, and communication for our members and our care teams. We are adamant about building a radically better member experience for people living in lower-income neighborhoods that have never been prioritized. And we won’t be satisfied with anything less than transforming the way that health services are delivered in previously underserved communities across the U.S. Join us! cityblock.com/careers

Company details

Company typeScaleup
IndustryHospitals & Health Care
Company size501 - 1000

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Job description

Job Description:

Cityblock is betting that agents, operating our systems safely and under real oversight, can meaningfully expand what our engineering and care teams can accomplish using AI. In this role, you will create scalable analytics platforms integrated with healthcare data, develop predictive models, and work with cross-functional teams to deliver actionable insights, real-time monitoring, and ensure compliance with regulations.

You will:

Scalable Analytics Architecture & Transformations: Architect, build, and optimize

enterprise-grade, high-performance analytical data models using dbt Core/Cloud and complex SQL. Structure modular data transformations to expose standardized clinical and operational datasets.

Big Data Processing & Distributed Computing: Develop and optimize scalable

pipelines to process large volumes of multi-system, unstructured, and

semi-structured healthcare datasets (e.g., EHR, Claims, FHIR, and HL7 feeds),

significantly cutting compute times and warehouse/lakehouse spending.

Orchestration & Real-Time Alerting: Design, automate, and monitor production-grade DAGs using asset-centric orchestration frameworks like Dagster. Implement real-time data freshness checks, anomaly detection, and custom automated alerting systems to guarantee continuous pipeline health.

Cross-Functional Engineering & Data Governance: Collaborate closely with Data

Engineering, Governance, and BI teams to ensure seamless ELT integration, establish DBT semantic models/metric definitions, and enforce data contracts to align engineering workflows with business and clinical analytics requirements.

HIPAA Compliance & Data Security: Enforce strict healthcare compliance regulations (HIPAA, HITECH) across all codebases. Implement row- and column-level security policies, dynamic data masking for PII/PHI in SQL, CI/CD code checks, and robust technical documentation to ensure 100% audit readiness.

Work Experience

6+ Years of Analytics & Data Engineering: Extensive experience in senior analytics

engineering or data roles, demonstrating mastery in SQL, dbt, Python and workflow

orchestration platforms (Dagster/Airflow)

Healthcare Domain & Regulatory Expertise: Deep hands-on knowledge of healthcare

data frameworks (FHIR, HL7, ICD-10, CPT, claims feeds), PHI protection standards

under HIPAA, and experience operating governed analytics pipelines in cloud data

environments (e.g., Databricks, Snowflake, AWS EMR/Redshift, BigQuery).

We take into account an individual’s qualifications, skillset, and experience in determining final salary. This role is eligible for health insurance, life insurance, retirement benefits, participation in the company’s equity program, paid time off, including vacation and sick leave. The actual offer will be at the company’s sole discretion and determined by relevant business considerations, including the final candidate’s qualifications, years of experience, skillset, and geographic location. The expected salary range for this position is: 

$110,000.00 - $145,000.00 Annual

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.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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