Software Engineer or Senior Software Engineer - Data Hub

Workday, Inc.; Vancouver; Hybrid; CAD 112,000 - 210,000; Full time

Benefits offered by this job

Flexible work

Hybrid work model

Job summary

Workday, Inc. in Vancouver is seeking a Senior Software Engineer to join the Datahub team.

You will help build a cloud ops platform that ingests data from internal and external producers and surfaces curated data sets to Workday applications and AI/ML workflows. The role requires 6+ years in software engineering or distributed systems, 3+ years with Java, Scala or Python, and hands-on experience with AWS or GCP, Kubernetes, Spark, and Terraform.

Qualifications

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

Responsibilities

• In this role, you will contribute to a cloud ops platform that ingests data from internal and external producers, computes and surfaces meaningful, curated data sets, and exposes these sets to Workday Front-End components or as embedded contextual data for AI/ML inference generation.
• You will work with technologies like Kubernetes, Spark, Python, Java, Terraform, Iceberg, and AWS/GCP to enable scalable data workflows.

Skills

Software engineering

Distributed systems

Java

Scala

Python

Cloud engineering

Data engineering

Education

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

Tools

Apache Spark

Apache Iceberg

Kubernetes

Terraform

AWS Cloud Infrastructure

Job description

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.

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

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.

Primary Location: CAN.BC.Vancouver

Primary Location Base Pay Range: $140,000 CAD - $210,000 CAD

Primary CAN Base Pay Range: $112,000 - $168,000 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.

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.

Workday is proud to be an equal opportunity workplace.

Workday is proud to be an equal opportunity workplace.

Individuals seeking employment at Workday are considered without regards to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws.

Further, pursuant to applicable local ordinances, Workday will consider for employment qualified applicants with arrest and conviction records.

We do not accept resumes from headhunters, placement agencies, or other suppliers that have not signed a formal agreement with us.

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.