Director, Data Engineering at Veracyte

San Diego, California, United States -

Full Time

Start Date

Immediate

Expiry Date

23 Jun, 26

Salary

253000.0

Posted On

25 Mar, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data engineering, AWS, Data lake architecture, Lake house architecture, Python, SQL, ETL/ELT, Data modeling, Team leadership, Data governance, Data quality, Cloud-native architecture, Distributed data processing, Mentoring, Strategic planning, Operational excellence

Industry

Biotechnology Research

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 Who You Are: Required Qualifications 10+ years of experience in data engineering or related fields, including 5+ years building large-scale data architectures Demonstrated expertise designing and operating data lake and lake house architectures on AWS Hands-on experience with modern ETL/ELT frameworks, distributed data processing, and orchestration tools Strong proficiency with SQL, Python, and data modeling for analytical and operational workloads Experience leading and mentoring engineering teams, including hiring, performance management, and career development Deep understanding of data governance, data quality, security, and privacy controls Proven ability to collaborate effectively with cross-functional partners in a fast-paced environment Strong communication skills with the ability to translate complex technical concepts into understandable terms Preferred Qualifications Experience in biotech, life sciences, diagnostics, or other regulated data environments Background working with scientific, clinical, or laboratory data pipelines Familiarity with ML/AI workflows and supporting MLOps platforms Experience with cost optimization strategies for large-scale AWS data systems Expertise in designing reusable data products or domain-oriented architectures Knowledge of metadata management, lineage tooling, and data catalog platforms #LI-Hybrid The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to years of experience, skillset, geographic location, industry, education, etc. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units. Pay range $234,000—$253,000 USD What We Can Offer You Veracyte is a growing company that offers significant career opportunities if you are curious, driven, patient-oriented and aspire to help us build a great company. We offer competitive compensation and benefits, and are committed to fostering an inclusive workforce, where diverse backgrounds are represented, engaged, and empowered to drive innovative ideas and decisions. We are thrilled to be recognized as a 2024 Certified™ Great Place to Work® in both the US and Israel - a testament to our dynamic, inclusive, and inspiring workplace where passion meets purpose. About Veracyte Veracyte (Nasdaq: VCYT) is a global diagnostics company whose vision is to transform cancer care for patients all over the world. We empower clinicians with the high-value insights they need to guide and assure patients at pivotal moments in the race to diagnose and treat cancer. Our Veracyte Diagnostics Platform delivers high-performing cancer tests that are fueled by broad genomic and clinical data, deep bioinformatic and AI capabilities, and a powerful evidence-generation engine, which ultimately drives durable reimbursement and guideline inclusion for our tests, along with new insights to support continued innovation and pipeline development. For more information, please visit www.veracyte.com or follow us on LinkedIn or X (Twitter). Veracyte, Inc. is an Equal Opportunity Employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability status. Veracyte participates in E-Verify in the United States. View our CCPA Disclosure Notice. If you receive any suspicious alerts or communications through LinkedIn or other online job sites for any position at Veracyte, please exercise caution and promptly report any concerns to careers@veracyte.com

Responsibilities

The Director of Data Engineering will lead the design, development, and evolution of enterprise data platforms on AWS to support scientific, clinical, and commercial teams. This role involves managing a high-performing engineering team while driving architectural decisions for scalable, secure, and reliable data solutions.