Data Engineer (P3494) G1

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 Data Engineer (Grade 1), you will have the chance to design and build software products and features for 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 Databricks. 

As part of the Commercial Measurement team, you will work with transaction, audience, and exposure data to measure and report on campaign effectiveness.

Responsibilities

Under the supervision of senior engineers on the team. 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 
• 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 - typically in Computer Science, Management Information Systems, Mathematics, Business Analytics or another technically strong program. 
• 1 years of proven professional Python and SQL development experience 
• Proficient with data analytics platforms such as DataBricks
• Proficient with automated testing (PyTest, etc…)
• Proficient with VCS (Git, GitHub) 
• Understanding of Agile Principles (Scrum)
  
  

Preferred Skills

• Python & SQL Development 
• Experience using Python frameworks 
• Experience with Cloud Technologies & Services (Azure preferred, GCP, AWS) 
• Experience with dependency management (Conda, venv, etc) 
• Experience with debugging enterprise applications 
• Experience with RESTful APIs 
• Understanding of CI/CD 
• Understanding of Object Oriented Principles 
• Understanding SOLID principles 
• Experience with automated data pipeline orchestration 
• Familiarity with Data Observability – Logging, Monitoring, and Alerting
  
  

IMPORTANT INFO

Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time for this position.

This is a Hybrid position. Candidates must be able to come into the office on Monday, Tuesday, and Wednesday of each week.

We have locations in Cincinnati, OH, Chicago, IL, Deerfield, IL, New York, NY, and Portland, OR. There are no remote options for this position.

We are NOT working with staffing firms, consulting companies, or any other 3rd parties on these particular positions.

Full-time only, no contracts, no C2C.

I have nothing to do with the procurement of recruiting-related products or services.