Senior Engineer - Data

WingstopDallas, TX
Onsite

About The Position

Wingstop is seeking a Senior Engineer - Data to strengthen the enterprise data foundation that powers analytics and AI. You will design and build the pipelines, models, and platform capabilities that make Wingstop’s data reliable, timely, and usable at scale. This role is hands-on and technical, and carries real influence over architecture, standards, and how the broader data team works. You will partner closely with BI, Applied AI, and Enterprise Technology to ensure data is production-grade before it is consumed. This role is based at the Global Support Center in Dallas, TX.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field (or equivalent practical experience)
  • 7+ years of data engineering experience building production pipelines at scale
  • Expert SQL and strong Python
  • Deep experience with cloud data platforms Snowflake, Databricks, or Redshift
  • Experience with dbt or a comparable transformation framework
  • Experience with orchestration tools such as Airflow or Dagster
  • Strong data modeling skills — dimensional, star schema, and modern analytical patterns
  • AWS or comparable cloud
  • CI/CD, Git-based workflows, and automated testing for data
  • Experience with data quality and observability tooling

Nice To Haves

  • AWS, Snowflake, or Databricks certifications are a plus
  • Streaming experience (Kafka, Kinesis, or similar) preferred
  • infrastructure-as-code experience (Terraform) is a plus
  • Restaurant, retail, or multi-unit consumer data experience is a plus
  • Explains technical tradeoffs clearly to non-technical partners
  • Mentors without gatekeeping
  • High standards for reliability and accuracy
  • Proactive about finding and fixing problems before consumers do
  • Strong cross-functional collaboration and stakeholder management

Responsibilities

  • Design, build, and operate scalable batch and streaming data pipelines
  • Develop and maintain dimensional and analytical data models that serve BI and AI use cases
  • Lead architecture and design decisions across ingestion, transformation, storage, and serving layers
  • Establish and enforce engineering standards — code review, testing, CI/CD, and documentation
  • Build data quality, observability, and lineage into pipelines by default
  • Integrate data from POS, digital ordering, loyalty, supply chain, finance, and third-party sources
  • Optimize platform performance and cost across compute and storage
  • Partner with Applied AI and data science to deliver production feature pipelines and model-ready datasets
  • Mentor data engineers and raise the technical bar across the team
  • Contribute to data governance, security, and access control practices

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
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