Senior Software Engineer, Workday
Data Engineering
CA$140-210k
More information about location
Enterprise AI platform for managing HR and finance
Open for applications
Enterprise AI platform for managing HR and finance
1001+ employees
Open for applications
CA$140-210k
More information about location
1001+ employees
Company mission
To leverage the power of AI to elevate humans and supercharge work, moving business forever forward.
Role
Who you are
- 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
- 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
- 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
What the job involves
- 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
Application process
- End Date: May 23, 2026
Our take
Workday is a cloud-based software vendor that provides management of workforces and finances. The company uses a single database for workforce management and financial management to offer integration and optimize business intelligence across companies. It has added to the packages and tools it offers over the years, providing analytic options that allow companies to combine third-party data with information collected by Workday.
The company has also grown through acquisitions and partnerships to broaden its capabilities.. Most recently, in 2025 it purchases Sana, an AI-driven enterprise knowledge and learning platform, to create a "new front door for work". This acquisition allows Workday to integrate Sana's AI-powered search, agents, and learning capabilities with its own data and workflows, allowing employees to access information, automate tasks, and complete their day entirely within Workday.
Through a combination of strategic acquisitions and in-house development, WOrkday has built a comprehensive suite of HR, financial, and enterprise tools. By focusing on innovation and AI-driven workflows, the company continues to push productivity and decision-making for organizations worldwide. Building on this track record, Workday is very much positioned for even more growth, reinforcing its status as a leader in shaping the future of work.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
16% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Oct 2011
$85m
SERIES F
Apr 2009
$75m
SERIES E
Total funding: $215.3m
Company HQ
Pleasanton, CA
Leadership
Aneel Bhusri
(Co-Founder & Executive Chair)Annel began his career at Morgan Stanley as a Corporate Finance Analyst. He then spent nearly 6 years at PeopleSoft as a Senior VP before co-founding Workday in 2005, where he has served as the CEO ever since.
Carl Eschenbach
(CEO)Carl joined Workday in 2022 as Co-CEO, becoming CEO in 2024. He has also been a Partner at Sequoia Capital since 2016. Previously, he spent 14 years at VMware as President and COO and 3 years at Inktomi Corporation as the VP of North America Sales.
Peter Bailis
(CTO)Prior to joining Workday in 2025, People was a VP of Engineering at Google. He also previously founded Sisu Data, where he served as the CEO for over 5 years.
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