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.About the TeamMachine Learning Data Engineering at Workday underpins nearly all of Workday’s machine learning and AI products. Come make an impact!The MLDE Team is responsible for getting, managing, and making useful the data that Machine Learning Engineers need in order to develop machine learning models and data-backed products. The team’s core competencies span large areas of software and data engineering and include data pipeline and data lifecycle engineering, governance, cost and process optimization, and developer productivity tools and services.About the RoleAbout the Role:As a Software Engineer on the MLDE Team, you will have the opportunity to help build a data platform to serve Workday's Machine Learning Engineers. You will demonstrate your existing experience and continue to grow and make an impact in the following areas:Design, develop, and deliver software that moves the business forwardWork with a dedicated team to uncover areas of novel improvement and unique opportunities within Workday's specific needsWork with and learn from Workday's engineering staff and processesContinue to operate MLDE's services with a high quality of serviceFind and execute on opportunities for improvement and future work to grow the Data Engineering and Machine Learning areasOnboarding — we expect that within 30, 60, and 90 you will be focusing on the following:30 days:Company familiarization with values, processes, productsGain access to all systems that you will needUnderstand the roadmap and processesStart committing production code, with help, to a key service60 days:Gain an understanding of the team’s services and roadmapProvide feedback across the teamParticipate in prioritization of new issuesComfortable with development in some team servicesBegin shadowing support incidents and requests90 days:Begin to offer suggestions to create and improve new featuresFeel like a subject-matter-expert for one or more servicesHandle common support requestsParticipate in team’s on-call rotationAbout YouYou're an engineer who is excited to make an impact, has some production experience in software engineering, and some exposure to and interest in data engineering and machine learning.Basic Qualifications3 or more years' experience using Java, Python, or Go3 or more years of proven experience with AWS/GCP/AzureProven experience working with production systemsOther QualificationsExcellent communication skills (we are "doc-focused")Experience with Kubernetes, Docker, and related deployment toolingExperience with SaaS ML Tooling offerings such as Databricks or SagemakerExperience with API documentation tools (e.g. Swagger) Workday Pay Transparency StatementThe 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, please click here.Primary Location: USA.CO.BoulderPrimary Location Base Pay Range: $118,400 USD - $177,600 USDAdditional CAN Location(s) Base Pay Range: $98,400 - $147,600 CADOur 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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