Software Development Engineer, Workday
Data Engineer
CA$106.4-159.6k
More information about location
Enterprise management cloud platform
Be an early applicant
Enterprise management cloud platform
1001+ employees
Be an early applicant
CA$106.4-159.6k
More information about location
1001+ employees
Company mission
To provide an all-in-one management cloud solution for the rapidly changing business requirements of the modern world.
Role
Who you are
- 5 or more years of validated software industry experience
- Proven experience in software development with proficiency in at least one programming language (e.g., Python, Go)
- Bachelor’s and/or master’s degree in computer science or computer engineering
- Optimize public cloud-based infrastructure (AWS, GCP) to support the computational requirements of machine learning workloads
- Implement and manage CI/CD workflows to automate testing, integration, and delivery of machine learning components
- Professional experience in building web applications and microservices and API design
- Develop and enhance data platform services and APIs to enable efficient data access and consumption by various teams
- Experience with running and maintaining Databricks, Sagemaker, & Apache Spark as a Data Platform service
- Experience with big data technologies and frameworks (e.g., Spark, Flink, Hadoop, Kafka)
- Hands on experience with data warehousing concepts and ETL/ELT principles
- Other Qualifications:
- Implementation and operation of distributed systems
- Troubleshoot and resolve performance bottlenecks, system outages, and other operational issues in collaboration with the ML engineering teams
- Experience with Data Engineering and/or ML systems with ability to think across layers of the stack
- Experience with tools cloud data platform and services like Databricks, Sagemaker, EMR
- Contribute to the development and enforcement of data governance, security, and privacy policies
- Strong problem-solving skills and ability to work in a fast-paced environment
- Experience with MLOps platforms like Kubeflow and pipeline orchestrators like Airflow, Dagster and Kubeflow Pipelines
- Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes)
- Knowledge of data governance, data cataloging, and metadata management tools
- Experience with data security best practices
- Experience with Online and Batch FeatureStore like Feast
What the job involves
- Workday is the cloud-based SaaS company providing industry-leading software for HR, financials, workforce planning and employee learning to more than 40% of the Fortune 500
- We are the Machine Learning Product team at Workday
- Our focus is on the application of machine learning and statistical analysis to Workday’s products to serve our end users
- We use diverse datasets to build data-driven products, which help the world’s largest organizations uncover insights and make strategic decisions about their people, finances, and business
- We routinely work on data with high velocity, volume and variety, and we employ a modern machine learning distributed computing and big data software stack to deal with these challenges
- 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 platforms 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 software features from end to end including infrastructure as code
- Design and build developer tools and services that enable ML capabilities
- Participate in architecture reviews, code reviews and technology evaluation
- Help research, evaluate, prototype and drive adoption of new ML tools and services with reliability and scale in mind
- Understanding cloud computing and security to build robust cloud data platforms and solutions for ML teams
- Design and build software solutions for efficient organization, storage and retrieval of data to enable substantial scale
- Build and optimize data storage solutions (e.g., data lakes, data warehouses, NoSQL databases) to handle large volumes of structured and unstructured data
- Build systems and dashboards to monitor service & ML health
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
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 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
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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