About this role

Design and develop scalable cloud data infrastructure and pipelines.
Build and maintain data pipelines and infrastructure for Lakehouse systems.
Collaborate with cross-functional teams in a Scrum environment.
Implement data management frameworks and align with Veracyte’s global data strategy.
Optimize data retrieval, processing, and ELT workflows.
Mentor junior data engineers and foster a culture of continuous learning.

Bachelor’s or Master’s degree in Engineering, Computer Science, or a related field.
5+ years of experience (BS) or 3+ years (MS) in data engineering or a similar role.
Hands-on experience with designing and deploying data pipelines in cloud environments, preferably AWS and/or GCP.
Proficiency in programming languages such as Python, Java, or Scala.
Experience with AWS services (S3, Glue, Lake Formation, SageMaker) and Snowflake for data warehousing, ELT processes, and data modeling.
Familiarity with data cataloging tools, data lakes, and governance best practices.
Knowledge of open formats like Apache Parquet and Iceberg is a plus.

Senior Data Engineer

Key skills