84.51° Overview:

84.51° is a retail data science, insights and media company. We help The Kroger Co., consumer packaged goods companies, agencies, publishers and affiliates create more personalized and valuable experiences for shoppers across the path to purchase.

Powered by cutting-edge science, we utilize first-party retail data from more than 62 million U.S. households sourced through the Kroger Plus loyalty card program to fuel a more customer-centric journey using 84.51° Insights, 84.51° Loyalty Marketing and our retail media advertising solution, Kroger Precision Marketing.

Join us at 84.51°!

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As a Lead Data Engineer, you will have the opportunity to design and build software products and features for both internal and external clients. We are a team of innovators, continuously exploring new technologies that ensure 84.51° remains on the forefront of application development. In this position, you will be utilizing Python, SQL, Azure Cloud Services, and Snowflake.

As part of the Clean Room engineering team, you will work with transaction, audience, and exposure data to measure and report on campaign effectiveness while ensuring that our data and 3 rd party data is treated with the highest standards of privacy compliance.

Responsibilities

Take ownership of stories and drive them to completion through all phases of the entire 84.51° SDLC. This includes external facing and internal applications as well as process improvement activities such as:

  • Design and develop Python & SQL based data pipeline solutions 
  • Perform unit and integration testing 
  • Create quality checks for ingested and post processed data 
  • Ensure alerting and monitoring of automated pipeline solutions 
  • Provide mentoring to junior team members 
  • Participate in retrospective reviews 
  • Participate in the estimation process for new work and releases 
  • Maintain and enhance existing applications 
  • Bring new perspectives to problems 
  • Be driven to improve yourself and the way things are done 

Requirements

  • Bachelor’s degree (Master’s degree desired) typically in Computer Science, Management Information Systems, Mathematics, Business Analytics or another technically strong program. 
  • Understanding of Agile Principles (Scrum)
  • 5+ years of proven professional Python and SQL development experience 
  • Proficient with distributed data processing (PySpark, Snowpark)
  • Proficient with automated testing (PyTest, etc…)
  • Proficient with VCS (Git, GitHub) 
  • Experience using Python frameworks 
  • Experience with Cloud Technologies & Services (Azure preferred, GCP, AWS) 
  • Experience with dependency management (Conda, venv, etc) 
  • Experience with performance tuning enterprise applications 
  • Experience with debugging enterprise applications 
  • Experience with RESTful APIs 
  • Understanding of CI/CD 
  • Understanding of Object Oriented Principles 
  • Understanding SOLID principles 

Preferred Skills

  • Python & SQL Development 
  • Distributed Data Processing (PySpark, Snowpark)
  • CI/CD practices 
  • Automated data pipeline orchestration 
  • Data observability – Logging, Monitoring, and Alerting 
  • Azure Cloud infrastructure development 
  • Snowflake 
  • API development 
  • Data quality checks 
  • Cloud Technologies

#LI-DOLF

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Together, we are stronger and can achieve more

At 84.51°, we believe a diverse and inclusive work environment is essential to the work we do as a data science company. Just as no two Kroger customers are alike, no two 84.51° associates are alike. We understand the importance of fostering an inclusive culture: to encourage our associates to bring their authentic selves to work – embracing who they are and celebrating what they can become.

We continually strive to ensure 84.51° is a place where all people feel like they belong, are respected and valued regardless of who they are, where they are from and what experiences they’ve had. By meeting our 3-year D&I roadmap goals and commitments, we will continue our journey towards becoming a destination for diverse, driven, and authentic minds.

Your responses will be used (in aggregate only) to help us identify areas of improvement in our process.

Your responses will not be associated with your specific application and will not in any way be used in the hiring decision.

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