Senior Software Engineer/Software Engineer, Workday

Data Engineering

$156-264k

Salary depends on location

AWS

Docker

Kubernetes

GCP

Python

Scala

Java

Kafka

Terraform

Kibana

Jenkins

Spark

Prometheus

Grafana

Flink

Hive

Senior and Expert level

Denver

San Francisco Bay Area

More information about location

Office located in Pleasanton, CA or Boulder, CO

Enterprise AI platform for managing HR, finance & IT

Posted today

Enterprise AI platform for managing HR, finance & IT

1001+ employees

B2BHRInternal toolsAnalyticsFinancial ServicesCloud Computing

Posted today

$156-264k

Salary depends on location

AWS

Docker

Kubernetes

GCP

Python

Scala

Java

Kafka

Terraform

Kibana

Jenkins

Spark

Prometheus

Grafana

Flink

Hive

Senior and Expert level

Denver

San Francisco Bay Area

More information about location

Office located in Pleasanton, CA or Boulder, CO

1001+ employees

B2BHRInternal toolsAnalyticsFinancial ServicesCloud Computing

Company mission

To leverage the power of AI to elevate humans and supercharge work, moving business forever forward.

Job

Company

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
Basic Qualifications - Senior Software Engineer (Required)
7+ years of experience in Software Engineering, Distributed Systems or a related field
Basic Qualifications - Software Engineer III (Required)
5+ years of experience in Software Engineering, Distributed Systems or a related field
Other Qualifications:
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
BSc or MSc in Computer Science/Computer Engineering or equivalent experienceExperience 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

The application deadline for this role is the same as the posting end date stated as below:
09/03/2026

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

Top investors

16% employee growth in 12 months

Glassdoor (3.5)

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 HQ

Pleasanton, CA

Leadership

Aneel Bhusri

(Co-Founder & CEO)

Annel began their career at Morgan Stanley as a Corporate Finance Analyst. They then spent nearly 6 years at PeopleSoft as a Senior VP before co-founding Workday in 2005.

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