Senior Software Engineer (Data Engineering)

Posted Yesterday
Be an Early Applicant
3 Locations
In-Office
140K-264K Annually
Senior level
Cloud • Fintech • HR Tech
The Role
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.
Summary Generated by Built In

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.

    Skills Required

    • Bachelor’s or master’s degree in Computer Science, Computer Engineering, or equivalent experience
    • 7+ years of experience in software engineering, distributed systems, or a related field
    • 4+ years of proficiency in at least two of Java, Scala, and Python
    • 4+ years of experience in data engineering or a related field
    • Working knowledge of cloud infrastructure and managed services, including AWS or GCP
    • Experience with at least one of Apache Spark, Apache Iceberg, Apache Avro, Apache Kafka, or Apache Flink
    • Experience delivering services from code development through production deployment
    • Experience with continuous integration, Docker, Kubernetes, or Terraform
    • Experience creating scalable service endpoints for data retrieval
    • Experience with logging, monitoring, metrics, or statistics technologies such as Grafana, Prometheus, Kibana, or Hive
    • Proficiency designing and maintaining sophisticated object-oriented software using clean-code practices
    • Experience with unit, system or integration, and end-to-end testing, TDD, feature toggles, or canary deployments
    • Knowledge of operating-system concepts including memory, storage, threading, concurrency, networking, sockets, and process management
    • Understanding of performance, scalability, security, availability, deployment, and operations
    • Experience owning production services, including production triage and on-call support

    Workday Compensation & Benefits Highlights

    The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Workday and has not been reviewed or approved by Workday.

    • Healthcare Strength — Health coverage is highlighted as a core strength within a broad total-rewards program, with materials emphasizing medical care alongside overall wellness resources. The benefits approach is presented as supporting employees both at work and outside it.
    • Parental & Family Support — Family-oriented benefits are emphasized, including resources for major life events and caregiving support as part of the package. This focus is positioned alongside health, finances, and retirement to address needs beyond salary.
    • Leave & Time Off Breadth — Paid time off is featured prominently within the benefits mix, contributing to perceptions of a comprehensive offering. The breadth of leave is framed as part of a holistic program that supports work-life balance.

    Workday Insights

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    Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

    The Company
    HQ: Pleasanton, CA
    14,894 Employees
    Year Founded: 2005

    What We Do

    Workday is a leading provider of enterprise cloud applications for finance, HR, and planning. Founded in 2005, Workday delivers financial management, human capital management, and analytics applications designed for the world’s largest companies, educational institutions, and government agencies. Organizations ranging from medium-sized businesses to Fortune 50 enterprises have selected Workday.

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