Senior Data Engineer

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Zócalo Health

Site WebLinkedInTous les Emplois

51 - 200 employés

Fondée en 2021

💼 Conseil

🏥 Santé

📡 Télécommunications

Consulting • Healthcare • Telecommunications

Zócalo Health est un groupe de soins primaires visant à améliorer l'expérience des patients et l'accès aux soins de santé pour les communautés latino-américaines. Ils offrent des soins complets et intégrés, culturellement compétents, en reliant les patients complexes et à haut risque avec des équipes de soins dédiées, comprenant des spécialistes locaux en sensibilisation à la santé. Zócalo Health met l'accent sur la construction de relations durables au sein de la communauté et propose une combinaison de services en personne et virtuels pour répondre aux défis médicaux, sociaux et de santé mentale uniques de ses membres.

Description

• Build and operate production-grade ingestion pipelines from core clinical, operational, and third-party systems into our Databricks lakehouse • Develop and maintain dbt models that turn raw data into clean, well-documented, analytics-ready datasets • Establish data quality, testing, and monitoring practices that make pipelines reliable and trustworthy • Help shape ingestion patterns and architecture standards alongside the Principal Data Engineer • Enable company-wide metrics for care outcomes and operations • Collaborate with cross-functional leads to develop and iterate on a suite of core operational dashboards, ensuring teams have the self-service tools they need to track company metrics and outcomes. • Design, build, and operate production data pipelines across clinical, operational, and third-party systems using API-based ingestion, Change Data Capture (CDC), and event- or webhook-driven patterns • Build and maintain transformation layers in dbt, including tests, documentation, and reusable models • Develop and refine core analytical and longitudinal data models used across the company • Implement testing, monitoring, and observability to ensure data quality, pipeline reliability, and system performance • Apply strong engineering fundamentals to improve the scalability, performance, and cost-efficiency of data systems on AWS and Databricks • Partner with Product to support metric definitions, outcome measurement, and reporting needs • Contribute to engineering standards, code review, and a culture of knowledge sharing and continuous improvement • Partner with business, product, and engineering stakeholders to design and build intuitive data visualizations and dashboards that drive actionable insights and program visibility.

🎯 Exigences

• 5+ years of experience in data or backend engineering roles with significant data platform responsibility • Hands-on experience building and operating production-grade data pipelines and ingestion frameworks • Strong proficiency in SQL and Python for data ingestion, processing, and transformation • Experience with a cloud data platform; experience with AWS and Databricks (or a comparable Spark-based lakehouse) strongly preferred • Experience building SQL-based transformation workflows; hands-on experience with dbt preferred • Strong computer science fundamentals, including comfort reasoning about distributed systems and data processing at scale • Ability to diagnose and resolve performance, reliability, and data quality issues in complex systems • Strong ownership mindset and comfort operating in ambiguous, fast-growing environments • Clear communicator able to partner effectively with technical and non-technical stakeholders • Experience building dashboards or analytical outputs used by executives and frontline teams.

🏖️ Avantages

• Equity compensation package • Comprehensive benefits including medical, dental, and vision • 401k • Flexible PTO policy - take the time you need to recharge • $1,000 home office stipend • We provide the equipment needed for this role. • Opportunity for rapid career progression with plenty of room for personal growth.