Veeva
Veeva2mo ago

Senior Data Engineer

California - PleasantonRemoteFull-Timesenior
Data EngineeringData EngineerDataData & AI
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Quick Summary

Overview

Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $3B in revenue in our last fiscal year with extensive growth potential ahead.

Key Responsibilities

A Senior Data Engineer who can lead the design and implementation of our next-generation Data Lakehouse. In this role, you will be designing and implementing our unified storage and compute layer, bridging the gap between the flexibility of a data…

Technical Tools
awskafkakubernetescustomer-successetlperformance-optimizationsaas
Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $3B in revenue in our last fiscal year with extensive growth potential ahead.
 
At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors.
 
As a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment.
 
Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities.

A Senior Data Engineer who can lead the design and implementation of our next-generation Data Lakehouse. In this role, you will be designing and implementing our unified storage and compute layer, bridging the gap between the flexibility of a data lake and the performance of a traditional warehouse.  You will be responsible for designing data ingestion for a large volume of data, and optimizing the storage for performant downstream analytics. 
  • Design and implement a scalable Lakehouse environment. Own the lifecycle of efficient storage, including schema evolution, partition transformation, and snapshot management.
  • Build and manage real-time and batch data ingestion pipelines using Kafka and Spark
  • Deploy, manage, and scale data workloads (such as Spark executors) using Kubernetes (EKS).
  • Develop complex ETL workflows. Optimize jobs for large-scale data processing focusing on memory management and shuffle optimization.
  • Manage and monitor end-to-end data lifecycles using orchestration tools
  • Write and tune high-performance queries against the Lakehouse. Implement optimization strategies, compaction, and data skipping to reduce latency and cloud costs
  • 5+ years in Data Engineering, with at least 2 years focused on Lakehouse or modern Data Lake environments
  • Hands-on experience with AWS ecosystems, async/queue processing in a production environment and working with a Lakehouse
  • Expert in workflow management, data transformation, storage and exchange at scale.
  • Proven experience with events driven job processing. Mastery in data ingestion, processing large-scale data and performance tuning.
  • Experience with Kubernetes and infrastructure as code
  • Experience with query engines like Starrocks or Druid
  • Familiarity with building and monitoring dashboards on K8s-based data clusters
  • Medical, dental, vision, and basic life insurance
  • Flexible PTO and company paid holidays
  • Retirement programs
  • 1% charitable giving program
  • Base pay: $115,000 - $175,000
  • The salary range listed here has been provided to comply with local regulations and represents a potential base salary range for this role. Please note that actual salaries may vary within the range above or below, depending on experience and location. We look at compensation for each individual and base our offer on your unique qualifications, experience, and expected contributions. This position may also be eligible for other types of compensation in addition to base salary, such as variable bonus and/or stock bonus.
  • #LI-Remote
    #LI-MidSenior
     

    Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.
     
    Veeva is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances. If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at talent_accommodations@veeva.com.

    Location & Eligibility

    Where is the job
    Worldwide
    Fully remote, anywhere in the world
    Who can apply
    Same as job location
    Listed under
    Worldwide

    Listing Details

    Posted
    March 18, 2026
    First seen
    March 25, 2026
    Last seen
    May 23, 2026

    Posting Health

    Days active
    58
    Repost count
    0
    Trust Level
    39%
    Scored at
    May 23, 2026

    Signal breakdown

    freshnesssource trustcontent trustemployer trust
    Veeva
    Veeva
    lever

    Cloud-based software company providing CRM and content management for the global life sciences industry

    Employees
    7k+
    Founded
    2007
    Domain
    veeva.com
    View company profile
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    VeevaSenior Data Engineer