Director, Data Engineering

Confirmed live in the last 24 hours

Veracyte

Compensation

$234,000 - $253,000/year

San Diego, California, United States

Hybrid

Posted March 30, 2026

Job Description

At Veracyte, we offer exciting career opportunities for those interested in joining a pioneering team that is committed to transforming cancer care for patients across the globe. Working at Veracyte enables our employees to not only make a meaningful impact on the lives of patients, but to also learn and grow within a purpose driven environment. This is what we call the Veracyte way – it’s about how we work together, guided by our values, to give clinicians the insights they need to help patients make life-changing decisions.

Our Values:

We Seek A Better Way: We innovate boldly, learn from our setbacks, and are resilient in our pursuit to transform cancer care
We Make It Happen: We act with urgency, commit to quality, and bring fun to our hard work
We Are Stronger Together: We collaborate openly, seek to understand, and celebrate our wins
We Care Deeply: We embrace our differences, do the right thing, and encourage each other

The Position:

The Director of Data Engineering will lead the design, development, and evolution of our enterprise data platforms to empower scientific, clinical, operational, and commercial teams with trusted, actionable data. This role will oversee the architecture and engineering of modern data lake and lake house environments on AWS, ensuring scalable, secure, reliable, and efficient data solutions that support Veracyte’s mission. You will partner cross-functionally to shape the future of our data ecosystem while developing and mentoring a high-performing engineering team. This position is based out of our San Diego office (hybrid).

Responsibilities

Lead the strategy, roadmap, and execution for data engineering across cloud-native data lake and lake house architectures on AWS
Oversee ingestion, transformation, quality, governance, and orchestration pipelines supporting analytics, ML, bioinformatics, and operational workloads
Drive architectural decisions for scalable, high‑availability systems using AWS services such as S3, Glue, Athena, Lambda, and related technologies like Snowflake.
Establish and enforce data engineering best practices, including CI/CD, testing frameworks, observability, lineage, and documentation
Partner with data science, analytics, product, clinical, and software engineering teams to deliver reliable, well-modeled data products
Ensure platform security, compliance, and data privacy through policies, tooling, and close collaboration with Security and IT
Manage, grow, and mentor a team of data engineers and architects, fostering an inclusive, collaborative culture aligned with our values
Evaluate emerging technologies and guide modernization initiatives to improve scalability, cost efficiency, and performance
Collaborate with stakeholders to translate business and scientific needs into scalable and maintainable data solutions
Own operational excellence for all production data pipelines, including monitoring, incident response, and SLA management