Software Development Engineer, Workday
Data Engineer
$128.8-193.2k
Salary based on CO candidates, salary for Canadian candidates may differ
More information about location
Enterprise AI platform for managing HR and finance
Job no longer available
Enterprise AI platform for managing HR and finance
1001+ employees
Job no longer available
$128.8-193.2k
Salary based on CO candidates, salary for Canadian candidates may differ
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
- 5 or more years of software engineering experience with tools similar to Python, Java, Scala, AWS (CloudFormation, Glue, Lambda, S3, EMR, StepFunctions, etc.)
- Bachelor’s and/or Master’s degree, preferably in CS, or equivalent experience
- 2+ years experience with tools like Cloudformation/Terraform or similar tools
- Solid experience with designing & developing of new APIs/microservices deployed at scale
- 1 or more years of experience working on initiatives related to data engineering or ML
- 1 or more years of experience with production support on call rotations to resolve outages and other operational issues
- Implementation and operation of distributed systems
- Experience with Data Engineering and/or ML systems with ability to think across layers of the stack
- Experience with tools like Databricks, Sagemaker, & Apache Spark
What the job involves
- This is an opportunity to be part of a growth team focused on Data Engineering and ML Development Tools
- We build ML capabilities into our products, and you would be building part of the next generation of Workday technology
- We believe predictive products can be as ground-breaking to the next generation of technology as mobile was to the last
- As a Software Engineer III you will help develop ML powered features and experiences for every user across our HR & Talent product portfolio
- You will work closely with ML engineers and other software teams to deliver critically important infrastructure, frameworks, tooling, and platform, that enable machine learning across Workday’s product ecosystem
- You will apply modern ML Ops, Devops, and data engineering stacks to enable development, training, deployment, and lifecycle management of a variety of ML capabilities; supervised and unsupervised, deep learning and classical
- You will be responsible for the design & development of new APIs/microservices deployed at scale
- You will use Workday’s vast computing resources on rich, exclusive datasets to deliver value that transforms the way our end-users experience WD
- We will challenge you to apply your best creative thinking, analysis, problem-solving, and technical abilities to make an impact on thousands of enterprises and millions of people
- Work with multi-functional teams to deliver scalable, secure and reliable solutions
- Effectively engage with data scientists, software engineers, ML engineers, PMs and architects in requirements elaboration and drive technical solutions
- Develop features from end to end including infrastructure as code
- Design and build developer tools that enable ML capabilities
- Build systems and dashboards to monitor service & ML health
- Participate in architecture reviews, code reviews and technology evaluation
- Help research, evaluate, prototype and drive adoption of new ML tools with reliability and scale in mind
Application process
- End Date: March 24, 2025
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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