Job Abstract

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

About the Role

Join our dynamic Data Engineering & Integrations team as a Sr. Associate Data Engineer. We are growing our focus on modern data platforms such as Databricks and Snowflake to improve our data capabilities. You will play a crucial role in crafting, developing, and implementing data integration, data warehouse, and data mart solutions using these cloud technologies. This is an excellent opportunity to work on high-priority initiatives that span new and existing technologies, driving outstanding results and experiences for our customers and employees. 

• Develop and automate high-performance data processing systems to drive business growth and improve the product experience.

• Evangelize high-quality software engineering practices towards building scalable and reliable data infrastructure and pipelines.

• Design and develop data pipelines using PySpark, Airflow, Kafka, and DBT.

• Build reliable, efficient, testable, and maintainable data pipelines.

• Implement and optimize data integration solutions using Databricks and Snowflake.

• Provide production support and resolve high-priority incidents and development coding issues.

• Work with cross-functional teams to enable data insights throughout the data lifecycle.

• Develop and implement CI/CD processes for data pipelines.

• Focus on automation to improve efficiency and reliability of data operations.

About You

Basic Qualifications

• 2-3 years of experience designing and building scalable and robust data pipelines to enable data-driven decisions for the business.

• 1-2 years of hands-on experience with Cloud Data platforms such as Databricks/Snowflake/Redshift.

• 2-3 years of experiencia in data processing frameworks and ETL tools such as PySpark, Airflow, (Kafka, and DBT nice to have) 

• Strong fundamentals in one or more programming languages for processing large datasets, such as Python or Scala.

• Experience working with version control, continuous integration, and release/change management tools.

• Ability to write advanced SQL and perform SQL performance tuning.

• Prior Data Engineering experience working in a AI/ML environment is a big plus.

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

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.

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!