Data Engineer

We’re not in the wing business. We’re in the flavor business. It’s been our mission to Serve the World Flavor since we first opened in 1994, and we’re just getting started. Above all else – our success is largely due to our people and our core values, or what we call The Wingstop Way: being entrepreneurial, service-minded, fun, and authentic. We believe having a strong people foundation centered on these collective values creates a crave-worthy culture and talented team, as well as ensures our brand is poised for accelerated growth.

About the role

Wingstop is seeking a Data Engineer to build and maintain the pipelines that feed enterprise analytics and AI. You will develop ingestion and transformation workflows, model data for analytical use, and keep production pipelines reliable. This is a hands-on build role with room to grow — you will work alongside senior engineers, BI developers, and data scientists across a broad set of source systems and use cases. This role is based at the Global Support Center in Dallas, TX.

Responsibilities

• Build and maintain batch and streaming pipelines from source systems into the analytics platform
• Develop transformation logic and analytical data models for BI and data science consumption
• Monitor pipeline health; troubleshoot and resolve data issues and job failures
• Implement data quality checks and validation across critical datasets
• Write clean, tested, documented code and participate in code review
• Support onboarding of new data sources and third-party integrations
• Partner with BI developers and analysts to understand and meet data requirements
• Contribute to platform performance and cost optimization
• Follow established data governance, security, and access standards

Requirements

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field (or equivalent practical experience)
• 1+ years of data engineering experience building and supporting production pipelines
• Strong SQL and working proficiency in Python
• Experience with a cloud data warehouse — Snowflake, Databricks, or Redshift
• Experience with dbt or comparable transformation tooling
• Experience with orchestration tools such as Airflow
• Familiarity with AWS services (S3, Glue, Lambda) or a comparable cloud
• Understanding of data modeling fundamentals and dimensional design
• Git-based workflows and exposure to CI/CD
• API and file-based integration experience

Certifications: AWS, Snowflake, or Databricks certifications are a plus.

Exposure to streaming technologies is a plus.

Skills

• Asks questions early and communicates blockers clearly
• Detail-oriented with a strong sense of data accuracy
• Collaborative and eager to learn from senior engineers
• Takes ownership of what they build
• Comfortable working in an Agile team
• Stays humble, rolls up sleeves, and looks for ways to help
• Learns from others and contributes wherever possible
• Cares deeply about doing great work and driving results
• Curious, asks questions, and seeks out opportunities to improve
• Brings solutions, ideas, and perspectives that move the team forward
• Takes full responsibility for work and sees things through to completion
• Leads with empathy, respect, and emotional intelligence
• Collaborates effectively, fostering a culture of trust and constructive feedback
• Embraces healthy conflict and constructive conversations
• Committed to fostering a culture of growth, challenge, and continuous improvement

Benefits

• Unlimited paid time off for exempt employees
• One paid volunteer day of your choice
• Competitive bonus structure for eligible roles
• Team member stock purchase plan
• Health savings or flexible spending account options
• 401k – (dollar for dollar on the first 3% and then 50 cents on the dollar for the next 2% for team member contributions up to 5% of eligible compensation)
• Comprehensive medical, dental, and vision benefits
• Basic life and AD&D insurance provided
• Pet insurance
• Education Assistance
• Wellness reimbursement program
• Paid maternity and paternity leave
• Lunch provided every Tuesday and Thursday in office
• Discount on Wingstop gift cards
• Onsite game room