Data Engineer

Wingstop Restaurants Inc.; Dallas (TX); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Unlimited PTO

Volunteer day

Bonus program

Stock purchase plan

Health savings account

401k plan

Medical benefits

Dental & Vision

Pet insurance

Education assistance

Wellness reimbursement

Maternity/Paternity leave

Lunch in office

Gift card discount

Game room

Job summary

Wingstop Restaurants Inc. is seeking a Data Engineer based in Dallas, TX to build and maintain pipelines feeding enterprise analytics and AI.

You will develop ingestion workflows, model data for analytics, and keep production pipelines reliable, collaborating with data scientists, BI developers, and engineers. You will work in a hands-on role with opportunities to grow, contributing to data quality, governance, and scalable platform improvements while supporting Wingstop's data-driven decision

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field (or equivalent practical experience)
• 1+ years of data engineering 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

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

Skills

SQL

Python

Data modeling

CI/CD

API integration

Streaming

Education

Bachelor’s degree

Tools

Snowflake

Databricks

Redshift

dbt

Airflow

AWS (S3, Glue, Lambda)

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

• 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 benefitsBasic 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.