Software Engineer, Machine Learning - Higher Education Development

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 Team

Workday, founded in 2005, stands as a groundbreaking force in the human capital and financial management industry, with a global presence and a diverse array of customers. Across our offices worldwide, our teams are united by a shared dedication to innovation, collaboration, and excellence!

Joining our team means embarking on a journey of opportunity to drive innovation, advance your career, and contribute to impactful solutions that shape industries. Whether you thrive with solving sophisticated business problems, collaborating with agile teams, or championing innovation and software design, Workday offers an environment where your talents can thrive.

Our Product Development and QA organization spans across various products, serving a wide range of customers worldwide. Every project you undertake with us contributes to Workday's outstanding culture, core values, and dedication to excellence. We're proud to have received numerous awards and accolades for our innovative products, outstanding workplace culture, and commitment to sustainability. With your talent, we continue to lead the way in cloud technology and make a difference in the lives of our customers worldwide!

About the Role

Workday Student is part of Workday's suite of cloud-based enterprise solutions. The team’s core mission is to improve the work day for Higher Education administrators and faculty through greater technical capability, while empowering students on their educational journeys. We are looking for creative, delivery focused and skilled machine learning and software engineers to help on a range of these challenges. You will realize that the sky's the limit to your growth–all while having fun!

As a Machine Learning Software Engineer, you will have the opportunity to tackle significant problems, which comes with developing and delivering global critical enterprise software using your expertise in design, coding, algorithms, and complexity analysis. Your primary focus will be to:

• Own exploration, design and execution of machine learning models

• Build tools, technologies and platforms for productizing Machine Learning models in business-critical Enterprise software

• Analyze complex data requirements and design data models that meet organizational needs

• Work closely with product managers and machine learning engineers to take services from inception to production

• Takes ownership for finding creative solutions that move projects forward

• Analyze, design, program, debug, and modify software improvements

• Take initiative, exhibit creative thinking, have the determination to turn data into real-life insights

• Mentor and guide other engineers

• Work in an Agile environment focused on collaboration and teamwork

• Apply data integration, validation and transformation techniques to ensure data quality and consistency

• Design and develop data pipelines to process and transform raw data efficiently from various sources

About You

Basic Qualifications

• 5+ years of experience with OO design and development in an object-oriented language such as Java, Python, C#, C++, XO, etc.
• 5+ years of experience with production software development lifecycle methodologies
• 4+ years of experience with applied Machine Learning
• Bachelor's degree in a computer related field or equivalent work experience

• Strong foundation in data engineering concepts, including data modeling, database design, ETL (Extract, Transform, Load) processes, and data warehousing.
• Proficiency in Python, SQL, and PySpark, with a focus on applying these to data engineering tasks.
• Proficiency with technologies like SnowFlake and Databricks.
• Familiarity with code repository and project tools such as GitHub, JIRA, and Confluence.
• Experience with AWS cloud services: EC2, EMR, RDS, Redshift, Sagemaker.
• Strong communication ability to liaise with various partners, including data scientists, business analysts, and executives, to understand requirements and translate them into technical solutions.

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, please click here.

Primary Location: USA.GA.Atlanta

Primary Location Base Pay Range: $144,000 USD - $216,000 USD

Additional CAN Location(s) Base Pay Range: $120,000 - $180,000 CAD

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!