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Senior Software Engineer (Data Engineering)

Pay
Multiple pay statements — pay source
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
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
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Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full Time
From the employer’s posting

What you’ll work on

Full posting

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.

What you’ll bring

All qualifications

Core experience

  • 7+ years of experience in Software Engineering, Distributed Systems or a related field
  • Experience in delivering a service from writing code to deploying in production: continuous integration (Jenkins), virtualization (Docker), orchestration (Kubernetes, Terraform)
  • 4+ years proficiency in at least two of the following programming languages: Java, Scala, Python
  • Experience creating scalable service endpoints to retrieve data
  • 4+ years in data engineering or related field(s)
  • Proficient collaborating with teammates to design, maintain and improve sophisticated object-oriented software following clean code standard methodology
Qualification wording
7+ years of experience in Software Engineering, Distributed Systems or a related field
Experience in delivering a service from writing code to deploying in production: continuous integration (Jenkins), virtualization (Docker), orchestration (Kubernetes, Terraform)
4+ years proficiency in at least two of the following programming languages: Java, Scala, Python
Experience creating scalable service endpoints to retrieve data
4+ years in data engineering or related field(s)
Proficient collaborating with teammates to design, maintain and improve sophisticated object-oriented software following clean code standard methodology
Apply at Workday

Posting record

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Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 7, 2026today
Recorded sightings
1

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$127K–$190K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 2,160 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 0

Early. Similar jobs usually come down between day 6 and day 54.

At Workday, jobs usually come down by about day 30.

From 11,508 similar postings that came down, and 66 of Workday’s. Coming down is not always a hire.

Workday is hiring

18 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Engineer hiring is steady
  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Java
  • Python
  • Scala
  • AWS
  • Docker
  • GCP
  • Grafana
  • Hive
  • Iceberg
  • Kafka
  • Kibana
  • Kubernetes
  • Spark
  • Terraform
Where the posting names them
- 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)
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
- 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
- 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
- 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:

Your next step

Complete your application on workday.wd5.myworkdayjobs.com. The employer’s form will show what is required.

Applying through Workday

  • You create an account with each employer before you can upload anything. Every Workday employer has its own account, so one sign-up doesn’t carry over.
  • “Autofill with Resume” comes right after sign-in, before the My Information and My Experience steps. Check every field it fills in those steps, since that’s what recruiters see.
  • Your application status lives in that employer’s Candidate Home, under the same sign-in.

Already applied? Track this application

About Workday

People
About 21,000 in 2026, up 3% from the year before.Annual report (SEC Form 10-K)
Company
Listed as WDAY.
H-1B visas
58 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
Layoff notices
Notices this year and last cover 154 people. The latest was filed February 4, 2026.State WARN notices

Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 839, the most 1,314, and the latest week had 1,079.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

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 accommodations@workday.com, 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.

    Source details

    View original posting ↗

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    Selected passages from the saved posting. Check the full description for conditions and exceptions.

    Pay
    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
    More source context
    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
    Location & working pattern

    USA, CA, Pleasanton

    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.
    Work authorization

    No clear work-authorization passage found. Eligibility is unconfirmed.

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