Senior Data Engineer

Zócalo Health

Senior Data Engineer building the data platform at Zócalo Health for analytics and operational visibility. Designing and shipping data pipelines for scalable operations and outcomes measurement.

Posted 6/22/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $160,000 - $180,000 per yearWebsite

Tech Stack

Tools & technologies

AWSCloudDistributed SystemsPythonSparkSQL

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

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.

ATS Keywords

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Hard Skills & Tools

SQLPythondbtdata ingestiondata processingdata transformationdata qualityChange Data Capture (CDC)data modelingdata pipelines

Soft Skills

clear communicationownership mindsetproblem-solvingcollaborationadaptabilityknowledge sharingcontinuous improvementstakeholder engagementanalytical thinkingleadership