Software Development Engineer, Workday

Data Engineer

$128.8-193.2k

Salary based on CO candidates, salary for Canadian candidates may differ

AWS

Python

Scala

Java

Terraform

Spark

Sagemaker

Senior and Expert level

Boston

Toronto

Vancouver

More information about location

Enterprise management cloud platform

Open for applications

Enterprise management cloud platform

1001+ employees

B2BHRInternal toolsAnalyticsFinancial ServicesCloud Computing

Open for applications

$128.8-193.2k

Salary based on CO candidates, salary for Canadian candidates may differ

AWS

Python

Scala

Java

Terraform

Spark

Sagemaker

Senior and Expert level

Boston

Toronto

Vancouver

More information about location

1001+ employees

B2BHRInternal toolsAnalyticsFinancial ServicesCloud Computing

Company mission

To provide an all-in-one management cloud solution for the rapidly changing business requirements of the modern world.

Job

Company

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.

Workday has acquired and paired up with many other companies to keep expanding its offering. In 2021, it purchased the employee feedback platform Peakon in response to the growing need for managers to be able to survey workers and collect satisfaction data without face-to-face meetings. The company has also bought and developed many financial tools and HR management tools.

The company’s goal is to provide end-to-end back office services and while there are other providers, such as UKG Pro and Ceridian HCM, Workday’s broad offering helps them to stand out. Though it faced a tough global market in 2023 and has shed some of its headcount, Workday has seen a 6.5% gain in value in the first quarter of 2024. It is now focusing on growth and developing the AI capabilities of its platform. .

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Top investors

16% employee growth in 12 months

Glassdoor (4.2)

Trustpilot (1.1)

Company

Funding (last 2 of 5 rounds)

Oct 2011

$85m

SERIES F

Apr 2009

$75m

SERIES E

Total funding: $215.3m

Company benefits

Company equity
Vision and dental insurance
Work from home opportunities
Health insurance
Virtual primary care
Flexible time-off policy
Global mental health resources
Global dedicated on-site clinical counselors
Global well-being days
$25k fertility/family planning benefits
North Star financial wellness
Retirement funds and matching
401k plan 🇺🇸
On-site health clinic (Pleasanton office) 🇺🇸

Company HQ

Pleasanton, CA

Leadership

Aneel Bhusri

(CEO)

Worked for Morgan Stanley for 3 years and took a Stanford MBA, before spending almost 6 years at Oracle as SVP. Co-founded Workday in 2005 while working as a Greylock Advisory Partner.

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