Workday Logo

Workday

Senior Software Engineer (Data Engineering)

Posted Yesterday
Be an Early Applicant
In-Office
Pleasanton, CA, USA
140K-264K Annually
Senior level
In-Office
Pleasanton, CA, USA
140K-264K Annually
Senior level
Build and operate scalable data engineering services supporting Workday’s machine learning and agentic initiatives. Responsibilities include data ingestion, governance, discoverability, derivation, and serving using Python, Spark, AWS, Kafka, Terraform, Kubernetes, and Iceberg. The role involves distributed systems development, production deployment, monitoring, testing, performance optimization, security, on-call support, and collaboration with engineering teams.
The summary above was generated by AI

Your work days are brighter here.

We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too.

About the Team

Your work days are brighter here!
At Workday, it all began with a conversation over breakfast. When our founders met at a sunny California diner, they came up with an idea to revolutionize the enterprise software market. And when we began to rise, one thing that really set us apart was our culture. A culture which was driven by our value of putting our people first. And ever since, the happiness, development, and contribution of every Workmate is central to who we are. Our Workmates believe a healthy employee-centric, collaborative culture is the essential mix of ingredients for success in business. That’s why we look after our people, communities and the planet while still being profitable. Feel encouraged to shine, however that manifests: you don’t need to hide who you are. You can feel the energy and the passion, it's what makes us unique. Inspired to make a brighter work day for all and transform with us to the next stage of our growth journey? Bring your brightest version of you and have a brighter work day here.
At Workday, we value our candidates’ privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers.

We’re Platypus, an AI/ML-centered data engineering team and our goal is to ingest, manage, derive, and serve data across Workday’s growing suite of AI/ML features. Right data, right time!

About the Role

In this role, you will contribute to the ingestion, discoverability, governance, derivation, and serving of data for Workday's Classic Machine Learning and agentic initiatives.  You'll be working hands-on with technologies like Python, Spark, AWS Infra, Kafka, Terraform/Kubernetes, and Iceberg.

About You

You are a highly motivated and skilled Software engineer with a passion for data engineering and machine learning. You strive to apply technology to drive real impact on Workday's business initiatives. You thrive in a collaborative environment, working closely with your colleagues to deliver innovative solutions. You possess excellent communication skills, actively listening to understand different perspectives and effectively conveying technical ideas. You are eager to contribute to a high-performing team and are driven to continuously learn and grow in the ever-evolving world of Distributed Systems, Data Engineering, and Machine Learning.

Basic Qualifications: (Required)

  • BSc or MSc in Computer Science/Computer Engineering or equivalent experience

  • 7+ years of experience in Software Engineering, Distributed Systems or a related field

  • 4+ years proficiency in at least two of the following programming languages: Java, Scala, Python

  • 4+ years in data engineering or related field(s)

  • Working knowledge of cloud-based infrastructure and managed services (AWS, GCP)

  • Experience with at least one of these data engineering technologies: Apache Spark, Apache Iceberg, Apache Avro, Apache Kafka, Apache Flink

Other Qualifications:

  • Experience in delivering a service from writing code to deploying in production: continuous integration (Jenkins), virtualization (Docker), orchestration (Kubernetes, Terraform) 

  • Experience creating scalable service endpoints to retrieve data 

  • Track record of working with logging, monitoring, metrics, stats technologies, such as: Grafana, Prometheus, Kibana, Hive, etc

  • Proficient collaborating with teammates to design, maintain and improve sophisticated object-oriented software following clean code standard methodology

  • A testing/quality approach - unit, system/integration and end-to-end testing, TDD, feature toggles, and canary deployments

  • Exposure to operating system concepts covering memory and storage, threading and concurrency, networking and sockets, and process management

  • An understanding and experience with topics related to performance and scale, security, availability, deployment and operations

  • Experience being responsible for a service in production with experience of production triage and on-call.


    Workday Pay Transparency Statement

    The annualized base salary ranges for the primary location and any additional locations are listed below.  Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate’s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday’s comprehensive benefits in Canada, please click here. For more information regarding Workday’s comprehensive benefits in the US, please click here.

    Primary Location: USA.CA.Pleasanton

    Primary Location Base Pay Range: $176,000 USD - $264,000 USD

    Additional CAN Location(s) Base Pay Range: $140,000 - $210,000 CAD


    Our Approach to Flexible Work
     

    With Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.

    Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.

    Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.


    Workday is committed to providing reasonable accommodations for qualified individuals during our application process, in order to perform one or more essential functions of their job, as well as regarding the use of AI tools for employment decision-making to any degree. Please see below for more details including how to request an accommodation as a qualified veteran, due to a disability or for religious reasons, or as otherwise provided under applicable law.


    Workday prohibits taking adverse action against any candidate or employee for reporting a possible violation of this policy, requesting one or more work accommodations, exercising a privacy right, or cooperating in an investigation in accordance with applicable law. Any employee who retaliates against a candidate or employee for doing so may be subject to disciplinary action, up to and including termination of employment, to the fullest extent allowable under applicable law.


    If you require a reasonable accommodation, you may email [email protected], as far in advance as possible.


    Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!

    At Workday, we value our candidates’ privacy and data security.  Workday will never ask candidates to apply to jobs through websites that are not Workday Careers. 

      

    Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.

      

    In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.

    HQ

    Workday Pleasanton, California, USA Office

    6230 Stoneridge Mall Road, Pleasanton, CA, United States, 94588

    Workday Berkeley, California, USA Office

    Berkeley, United States

    Workday Dublin, California, USA Office

    Dublin, United States

    Workday Palo Alto, California, USA Office

    Palo Alto, United States

    Workday San Francisco, California, USA Office

    160 Spear St, San Francisco, CA, United States, 94105

    Workday San Jose, California, USA Office

    San Jose, United States

    Workday San Mateo, California, USA Office

    San Mateo, United States

    Workday Walnut Creek, California, USA Office

    Walnut Creek, United States

    Similar Jobs

    An Hour Ago
    Remote or Hybrid
    46K-84K Annually
    Senior level
    46K-84K Annually
    Senior level
    Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
    Investigates and processes commercial insurance claims, determines policy coverage, assesses damages, establishes reserves, negotiates settlements, prepares estimates, and maintains accurate claim documentation. The role requires direct communication with insureds, claimants, agents, and internal teams, while identifying potential fraud or subrogation opportunities and coordinating with appraisal and investigative units.
    2 Hours Ago
    Remote or Hybrid
    45K-85K Annually
    Junior
    45K-85K Annually
    Junior
    Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
    Handles inbound calls and warm leads, consults customers on insurance needs, recommends appropriate Property and Casualty products and coverages, and converts prospects into policyholders. The role includes paid licensing and sales training, customer relationship management, persuasive selling, and adherence to remote-work requirements. Representatives must work four weekdays and one weekend day, maintain a professional home workspace, and meet specified internet-speed requirements.
    Top Skills: PcWired High-Speed Internet
    4 Hours Ago
    Remote or Hybrid
    USA
    19-19 Hourly
    Junior
    19-19 Hourly
    Junior
    eCommerce • Legal Tech • Professional Services • Software • Data Privacy
    Manage a portfolio of established customer accounts via inbound and outbound calls, uncover upsell and retention opportunities, meet sales and retention targets, monitor purchasing patterns, perform follow-up outreach, and build long-term customer relationships in a metrics-driven environment.

    What you need to know about the San Francisco Tech Scene

    San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

    Key Facts About San Francisco Tech

    • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
    • Major Tech Employers: Google, Apple, Salesforce, Meta
    • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
    • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
    • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
    • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

    Sign up now Access later

    Create Free Account

    Please log in or sign up to report this job.

    Create Free Account