Software Engineer III, Analytics

Job Function
Information Technology
Position Type
Experienced Professionals
Requisition ID


The Analytics Engineer lll is responsible for loading and optimizing data in the data warehouse to support programs across Chick-fil-A’s Distribution, Manufacturing, and Production businesses. The analytics team is a small agile team that continuously innovates and looks to optimize through technology to meet the needs of a growing business. 

The Analytics Engineer role will have the opportunity to make impactful contributions in a fast-paced environment solving large scale data problems using cloud-based technologies.  In this role, you’ll work on a small and growing agile DevOps team that will allow you contribute in every part of the development lifecycle.

Partnering with business stakeholders to understand the business and ensure data is clean, accurate, and optimized so the business can confidently make data-driven decisions is also an essential part of this role.  Being continuously curious about the business and self-driven to use data to clearly tell a story are important traits for this role.


About Chick-fil-A Supply and Bay Center Foods

As wholly owned subsidiaries of Chick-fil-A, Inc., Chick-fil-A Supply and Bay Center Foods are food production and distribution services networks focused entirely on serving the unique needs and growing volume of Chick-fil-A restaurants.


The Chick-fil-A Supply and Bay Center Foods service networks are comprised of three components:

  • Distribution Center – State-of-the-art warehouses that house supply for Chick-fil-A restaurants
  • Production Distribution Center – Offsite facilities that prepare select ingredients and menu items for Chick-fil-A restaurants
  • Transportation – Growing fleet of delivery vehicles that supply Chick-fil-A restaurants


  • Implement ETL processes that load data into an AWS based data lake and data warehouse using Python and Airflow.
  • Build infrastructure, according to business requirements, for optimal visibility into loaded data sets
  • Identify, design and implement internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes
  • Maintain and optimize our AWS (Redshift) based data warehouse
  • Support a variety of business stakeholders, including analytics, design, product and executive teams, with data-related technical issues
  • Partner with analysts and data visualization developers to ensure data is clean, accurate, and optimized to enable the business to make confident, data-driven decisions.

Minimum Qualifications

  • Bachelor’s degree in Business, Computer Science, Engineering, Information Technology or related field
  • 3 years of experience in IT
  • Extensive experience working with AWS and developing Python for ETL purposes (at least 2 years)
  • Experience working with and optimizing AWS Redshift or similar data warehouse (at least 1 year)
  • Experience writing and analyzing SQL
  • Experience evaluating systemic issues and analyzing symptoms to determine root cause of issue
  • Familiarity with Agile methodology
  • Excellent communication and problem-solving skills

Preferred Qualifications

  • Experience with TDD, CI/CD, agile, or similar software development practices
  • Experience developing/delivering/supporting microservices
  • Experience with Kubernetes and Apache Airflow
  • Experience managing databases in a cloud environment
  • General understanding of security best practices in the cloud and experience implementing them
  • General understanding and interest in machine learning

Minimum Years of Experience


Travel Requirements


Required Level of Education

Bachelor's Degree

Preferred Level of Education

Bachelors Degree


Computer Science, Engineering, Data Science, Information Technology or related field

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