Analytics 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 TeamAt Workday, our Performance and Capacity Tools team is the heartbeat of innovation in data analytics. We're a collective force, advancing the understanding of our customer's usage and performance with ingenuity and collaborative spirit. Our journey has been remarkable, with accolades including patents and a successful migration to AWS's cloud. We're excited to continue this journey and invite you to be a part of our success!About the RoleWe're looking for an Analytics Engineer who is passionate about transforming vast data landscapes into compelling business insights. In our team, we work together to unravel and tackle unique business challenges using an impressive data scale that is rarely encountered. This role offers the chance to engage with a data warehouse of multi-petabyte scale, enhancing your expertise and delivering a significant contribution to the company's success. You'll be instrumental in maintaining data pipelines and collaborating across the company, all while using a diverse set of technologies.Key Responsibilities:Develop and maintain data transformation pipelines.Ensure seamless data ingestion, transformation, scheduling, and preparation for analytics.Partner with domain experts across Workday.Apply an array of tools for data processing and analysis using Trino/Presto, Jupyter Notebooks, Python, Apache AirFlow, AWS RDS, MySQL/Postgresql, git, and more.Innovate and automate data models, influencing pipeline architecture.Engage with various teams to provide insightful, data-driven recommendations.About YouWe possess a keen interest in grasping the complex challenges that businesses face, and we're enthused by the prospect of devising data-driven solutions. Our inherent curiosity propels us to delve into data and decipher its core significance. Acquiring new tools and methods comes naturally to us. Becoming a part of our team is more than just accepting a job; it's embarking on a riveting adventure of discovering novel approaches to data exploration.Basic Qualifications:3 – 5 years experience in Data Engineering, Analytics Engineering, or Software Development, or Data ScienceBachelor’s degree or equivalent in Computer Science. Master's degree or advanced certification in Data Science or Analytics is a plus.Other Qualifications:Proficiency in SQL, experience with dbt, and crafting DBT/Jinja Macros.Skilled in a range of modern data stack (MDS) tools.Experience with data modeling, data warehousing, and building ETL pipelines.Familiarity with cloud services like AWS, Azure, or Google Cloud.Knowledge of data pipeline and workflow management tools like Apache Airflow.Proficiency in programming languages such as Python, Java, or Scala.Experience with business intelligence tools and data visualization techniques.At ease within the open-source environment.Knowledge of CI/CD, DevOps, GitOps practices is a bonus.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!