Job description

WHO WE ARE 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. 1997 saw the opening of our first brand partner operated Wingstop location, and by 2002 we had served the world one billion wings. It’s flavor that defines us and has made Wingstop one of the fastest growing brands in the restaurant industry. Above all else – our success is largely due to our people and our core values, or what we call The Wingstop Way of 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. We all win together. WHAT WE’LL NEED 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. Role 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 WHAT YOU’LL NEED Education Requirements • Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field (or equivalent practical experience) Certifications • AWS, Snowflake, or Databricks certifications are a plus Tools & Technical 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 • Exposure to streaming technologies is a plus People 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 WHO YOU ARE No job is too small. You recognize that the real work happens in the restaurants, and everything we do should support their success. You stay humble, roll up your sleeves, and always look for ways to help. You learn from others and contribute wherever you can. You care deeply about doing great work and driving results. You’re curious, ask questions, and seek out opportunities to improve. You don’t just point out problems—you bring solutions, ideas, and perspectives that move the team forward. You take full responsibility for your work and see things through to completion. You aren’t afraid to fail because you know that failure is a part of learning and growth. You take action, move fast, and keep pushing forward. You lead with empathy, respect, and emotional intelligence. You collaborate effectively, fostering a culture of trust and constructive feedback. You understand the importance of teamwork and ensure that your actions build others up rather than break them down. You push yourself and others to be better. You embrace healthy conflict, knowing that great ideas and strong teams emerge from honest, constructive conversations. You believe that leaders create leaders and are committed to fostering a culture of growth, challenge, and continuous improvement. BENEFITS FLAVOR PERKS: • 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 FUN IS THE BEST FLAVOR: • Lunch provided every Tuesday and Thursday in office • Discount on Wingstop gift cards • Onsite game room Wingstop provides equal opportunities for everyone that works for us and everyone that applies to join our team, without regard to sex or gender, gender identity, gender expression, age, race, religious creed, color, national origin, ancestry, pregnancy, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, any service, past, present, or future, in the uniformed services of the United States (military or veteran status), or any other consideration protected by federal, state, or local law.

Requirements

Must-haves

Role 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
Education Requirements
Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field (or equivalent practical experience)
Certifications
Tools & Technical 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

Nice-to-haves

AWS, Snowflake, or Databricks certifications are a plus
Exposure to streaming technologies is a plus
Competitive bonus structure for eligible roles

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiawssqlpythonci/cdapiagile

Platform: oracle-cloud
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401k

Paid Time Off

Wellness