Software Engineer or Senior Software Engineer - Data Hub
Workday is hiring a Software Engineer or Senior Software Engineer - Data Hub in Vancouver, Canada. It pays CAD 140k-CAD 210k a year and Level rates it ; you can apply on Level.
AI in this role
Contribute to a cloud ops platform for data ingestion and curation supporting AI/ML inference and agentic workflows.
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
Datahub is an AI/MLOps centered Data engineering team and our goal is to ingest, compute, and surface data driving key Workday applications across the company.About the Role
In this role, you will contribute to a cloud ops platform that enables ingestion of data from internal and external producers, computes and aggregate meaningful, curated data sets, the surfaces these sets to Workday Front-End components or as embedded contextual data for AI/ML inference generation and agentic workflows.
We utilize technologies like Kubernetes, Spark, Python, Java, XO, Terraform, Kubernetes, Iceberg, EMR, and Sagemaker.
About You
Basic Qualifications (Senior Software Engineer):
6+ years of experience in Software Engineering, Distributed Systems or a related field
3+ years proficiency in at least two of the following programming languages: Java, Scala, Python
3+ years in cloud 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, Kubernetes, Terraform AWS Cloud Infrastructure
Basic Qualifications (Software Engineer):
3+ years of experience in Software Engineering, Distributed Systems or a related field
3+ years proficiency in at least two of the following programming languages: Java, Scala, Python
3+ years in cloud 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, Kubernetes, Terraform AWS Cloud Infrastructure
Other Qualifications:
BSc or MSc in Computer Science/Computer Engineering or equivalent experience
Experience in delivering a service from writing code to deploying in production: continuous integration (Jenkins), virtualisation (Docker), orchestration (Kubernetes, Terraform)
Experience utilizing AI-Code Generation tools such as ClaudeCode, Windsurf, Cursor etc
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, please click here.
Primary Location: CAN.BC.Vancouver
Additional Considerations:
If performed in Colorado, the pay range for this job is $130,400 - $195,600 USD based on min and max pay range for that role if performed in CO.The application deadline for this role is the same as the posting end date stated as below:
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.
How we rate this
Software Engineer or Senior Software Engineer - Data Hub at Workday rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in software engineer jobs at this level
Pay
- Typical software engineer job
- $168k
Use the typical software engineer figure as a reference when pay comes up. See software engineer jobs
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- How do you monitor a model once it's live, and how do you know it needs retraining?
- Tell me about a project where distributed systems was part of your work. What did you do?
- Tell me about a project where data engineering was part of your work. What did you do?
- Tell me about a project where cloud infrastructure was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI agents, ML Ops, Distributed Systems, Data Engineering, and Cloud Infrastructure. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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