Senior Data Engineer: Scale Pipelines & AI

Wingstop Restaurants Inc.; Dallas (TX); On-site; USD 130,000 - 180,000; Full time

Benefits offered by this job

Unlimited paid time off

One paid volunteer day

Team member stock purchase plan

Health savings or FSA

401k matching

Medical, dental, vision benefits

Life and AD&D insurance

Wellness reimbursement

Maternity/Paternity leave

Job summary

Wingstop Restaurants Inc. is seeking a Senior Engineer - Data to strengthen the enterprise data foundation powering analytics and AI. You will design and build pipelines, models, and platform capabilities that ensure data is reliable, timely, and usable at scale.

This hands-on role influences architecture, standards, and how the data team operates. You will partner with BI, Applied AI, and Enterprise Technology to ensure production-grade data before consumption.

Qualifications

• Education requirement: bachelor’s in CS/engineering or related field.
• Certifications in AWS, Snowflake, or Databricks are a plus.
• Hands-on data engineering using production pipelines at scale.

Responsibilities

• Design, build, and operate scalable batch and streaming pipelines.
• Develop dimensional and analytical data models for BI/AI use cases.
• Lead architecture across ingestion, transformation, storage, and serving layers.
• Enforce engineering standards: code review, testing, CI/CD, documentation.
• Build data quality, observability, and lineage into pipelines.
• Integrate data from POS, loyalty, finance, and third-party sources.
• Optimize platform performance and cost across compute and storage.
• Partner with Applied AI to deliver production datasets.
• Mentor data engineers and raise technical bar.
• Contribute to data governance, security, and access control.

Education

Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field

Tools

Snowflake

Databricks

Redshift

dbt

Airflow

Dagster

Kafka

Kinesis

Terraform

Job description

Wingstop Restaurants Inc. is seeking a Senior Engineer - Data to strengthen the enterprise data foundation powering analytics and AI. You will design and build pipelines, models, and platform capabilities that ensure data is reliable, timely, and usable at scale.

This hands-on role influences architecture, standards, and how the data team operates. You will partner with BI, Applied AI, and Enterprise Technology to ensure production-grade data before consumption.