Data Engineer

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

We are a diverse and dynamic research organization, responsible for utilizing data along with research insights to influence design, product, and strategic business decisions. We’re passionate about crafting an outstanding research organization at Workday, known for delivering high quality, timely insights that enable Workday to deliver solutions that help thousands of employees around the world.

About the Role

As a Data Engineer, you will play a critical role in building the data pipelines necessary to equip data science teams with the right information to inform excellent user experience. You will play a pivotal role in enabling data science and user research to influence business and product strategy as well as improving existing products.
 

Our ideal candidate is an experienced data engineer with a track record of designing and developing methods, processes and systems to ingest, consolidate and analyze unstructured data, from diverse sources in order to generate actionable insights and solutions.

Areas of responsibility include:

• Active management of big data sets – lakes, warehouses, spark.

• Partner with leadership to determine an optimal resourcing plan for a data science team focused on experimentation and user experience.

• Develop models of usage and user behavior through analysis of complex data from a variety of sources. 

• Build datasets using software engineering best practices, data management fundamentals, data storage principles, recent advances in distributed systems, and operational and engineering excellence best practices.

• Analyze systems, review data models, develop transformations, and document the specifications.

• Demonstrate passion for quality and productivity by using efficient development techniques, standards and guidelines.

• Effectively communicate through technical documentation, commented code, and interactions with stakeholders and adjacent teams.

• Play a role in developing and delivering key UX metrics and partner with research to provide actionable insights to improve the user experience.

• Be curious and willing to present new ideas amongst peers and leadership

About You

Basic Qualifications include:

• Bachelor’s degree or equivalent experience in computer science, applied math, physics, engineering, statistics, economics or related field.

• 3+ years of industry experience in a Data Engineering role.

• Experience building and optimizing data pipelines, architecture and data sets. 

• Strong analytic skills related to working with unstructured and structured datasets.

• Experience with AWS cloud services: EC2, EMR, RDS, Redshift

• Experience with object-oriented/object functioning scripting languages: Python, Java, C++, Scala etc.
   

Other Qualifications:

• Master’s degree or PhD in Statistics, Economics, Psychology, Applied Math, Physics, Computer Science or other related field.

• Experience with front-end and/or mobile application development

• 2+ years of industry experience in analytics focused on enhancing products and driving innovation.

• Creative thinker able to apply first-principles reasoning to solve complex problems.

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.

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