Data Engineer jobs in United States

Pay Competitive

Employment type Full-Time

Req#: JR-0094795

Your work days are brighter here.

At Workday, it all began with a conversation over breakfast. When our founders met at a sunny California diner, they came up with an idea to revolutionize the enterprise software market. And when we began to rise, one thing that really set us apart was our culture. A culture which was driven by our value of putting our people first. And ever since, the happiness, development, and contribution of every Workmate is central to who we are. Our Workmates believe a healthy employee-centric, collaborative culture is the essential mix of ingredients for success in business. That’s why we look after our people, communities and the planet while still being profitable. Feel encouraged to shine, however that manifests: you don’t need to hide who you are. You can feel the energy and the passion, it's what makes us unique. Inspired to make a brighter work day for all and transform with us to the next stage of our growth journey? Bring your brightest version of you and have a brighter work day here.

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About the Team

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.

About the Role

• 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

About You

Basic Qualifications(REQUIRED)

• 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

Workday Pay Transparency Statement

The annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate’s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday’s comprehensive benefits in Canada, please click here . For more information regarding Workday’s comprehensive benefits in the US, please click here .

Primary Location: CAN.ON.TorontoPrimary CAN Base Pay Range: $106,400 - $159,600 CADAdditional US Location(s) Base Pay Range: $122,400 USD - $217,200 USD



Our Approach to Flexible Work


With Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.

Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.

Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.

Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!

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