Data Engineer

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About the role

Your work days are brighter here. We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too. About the Team Within the Customer Success Center of Excellence, our Value Architecture and Models team provides the Value, CSM, Sales, Partners, and other GTM teams with value selling digital experiences, technologies, and expertise to drive revenue growth and decrease the cost of sale. We do this by developing, deploying and operating intuitive self-service tools, digital experiences, workflow solutions, and value content repositories that scale. We are implementing AI-powered solutions to enhance productivity and provide real-time support to Workday's go-to-market teams. What makes our team unique is the opportunity to sit at the intersection of business strategy and emerging technologies. We are a team that values curiosity and creativity, and we are energized by exploring how AI and automation can transform the way Workday delivers value to customers and internal teams alike. About the Role As our Data Engineer within the VAM team, you will support, oversee, maintain, and develop a portfolio of enterprise tools (bought and built), AI agents, and dashboards used by thousands of our Workmates and partners in go-to-market functions—covering areas of automated customer-facing asset creation, attribution and impact measuring, benchmarking, reporting, and more. Primary Responsibilities • Design and build technology architectures to capture, manage, store, and utilize structured and unstructured data from internal and external sources. • Develop infrastructure to automate connections between enterprise systems and tools. • Take cloud-code prototypes built by team members and develop them into production-ready web applications deployed on GCP. • Apply ETL techniques to connect, prepare, and manipulate large datasets from a variety of sources. • Route data appropriately using distributed structures, database technologies, and applicable storage forms as required. • Build and maintain relationships and work closely with technical teams to ensure proper support and access for the Digital Support Center. • Work closely with stakeholders across the globe (including senior leadership) to ensure business challenges are directly addressed through technology solutions. • Support reporting, education, and ongoing development of the team to ensure effectiveness in a dynamic market. About You Basic Qualifications • Minimum of 4 years of professional data engineering or software development experience. • Minimum of 3 years of hands-on experience scripting, building data pipelines, or developing application backends using Python. • Minimum of 2 years of experience building, deploying,

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