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.
USA, CA, Pleasanton
Actively hiring, first seen by us todayPrimary 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 WorkRead the full posting
Employment type in the employer’s posting: Full TimeFrom the employer’s 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.
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
Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$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.
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 11,507 similar postings that came down, and 66 of Workday’s. Coming down is not always a hire.
18 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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.
- 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:
Complete your application on workday.wd5.myworkdayjobs.com. The employer’s form will show what is required.
Already applied? Track this application
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
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.
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.
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.
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!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.PleasantonPrimary Location Base Pay Range: $176,000 USD - $264,000 USDAdditional 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.
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Selected passages from the saved posting. Check the full description for conditions and exceptions.
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
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.
No clear work-authorization passage found. Eligibility is unconfirmed.