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84.51°

Data Engineer (P1947)

Chicago , United States

AI overview

Develop scalable data pipelines and storage solutions while leveraging AI and machine learning to enhance data processing capabilities in a retail media context.

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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Data Engineer (P1947)

Cincinnati, OH or Chicago, IL

About Us: Kroger Precision Marketing Powered by 84.51° helps brands build strong connections with consumers to drive sustainable brand growth through science driven Insights to Action.

The Audience and Measurement Capabilities team drives innovation in retail media by applying industry-leading data science and analytics at scale. We activate Kroger’s first-party data to enable precision audience creation, segmentation, and closed-loop measurement—advancing media accountability, performance analytics, and campaign optimization.

Job Overview:

We’re seeking a Data Engineer to join our Audience and Measurement Capabilities team. This role combines expertise in data warehousing, machine learning, AI and problem solving within a retail media network context. You’ll help scale advanced data science solutions while applying SOLID principles and CI/CD best practices to deliver impactful, data-driven capabilities

Key Responsibilities:

  • Develop, and maintain scalable and reusable data pipelines and data storage solutions.
  • Collaborate with cross-functional teams to gather requirements and deliver data-driven solutions.
  • Implement and optimize data warehousing solutions to support business intelligence and analytics.
  • Apply machine learning concepts to enhance data processing and analysis capabilities at scale.
  • Build scaled data science enablement tools to support engineering processes and empower data scientists in their analyses.
  • Ensure code quality and maintainability by adhering to SOLID principles.
  • Develop and maintain CI/CD pipelines to streamline deployment processes.
  • Communicate effectively with stakeholders to understand business needs and translate them into technical solutions.
  • Work collaboratively with nearshore and offshore resources to achieve scaled delivery
  • Continue individual development by staying up to date in the latest industry trends and technologies

Technical Skills:

  • Experience working on a collaborative team contributing to shared code bases
  • Advanced proficiency in Python /PySpark/SQL
  • 1+ year(s) experience working with one of the major cloud providers (Azure, AWS, GCP) – Azure preferred
  • Proficiency in Microsoft Azure including Azure Data Services, Azure Data Factory, Azure Databricks and Snowflake
  • Strong understanding of SOLID principles, medallion architecture and best practices in software development.
  • Knowledge of API principles and best practices, including RESTful design and integration.

Qualifications:

  • Strong problem-solving skills and attention to detail.
  • Bachelor's degree in computer science, Engineering, or a related field.
  • Proven experience in data engineering, data warehousing, and data pipeline processes at fortune 50 scale.
  • Understanding of machine learning concepts and their application in data engineering.
  • Familiarity with AI concepts and tools.
  • Excellent communication skills and ability to work collaboratively in a team environment.
  • Experience with Agile ways of working including refinement.
  • Familiarity with media audience creation and measurement is a plus.

PLEASE NOTE:  

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United Stated and with the Kroger Family of Companies (i.e. H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status).

#LI-SSS

Pay Transparency and Benefits

  • The stated salary range represents the entire span applicable across all geographic markets from lowest to highest.  Actual salary offers will be determined by multiple factors including but not limited to geographic location, relevant experience, knowledge, skills, other job-related qualifications, and alignment with market data and cost of labor. In addition to salary, this position is also eligible for variable compensation.
  • Below is a list of some of the benefits we offer our associates:
    • Health: Medical: with competitive plan designs and support for self-care, wellness and mental health. Dental: with in-network and out-of-network benefit. Vision: with in-network and out-of-network benefit.
    • Wealth: 401(k) with Roth option and matching contribution. Health Savings Account with matching contribution (requires participation in qualifying medical plan). AD&D and supplemental insurance options to help ensure additional protection for you.
    • Happiness: Paid time off with flexibility to meet your life needs, including 5 weeks of vacation time, 7 health and wellness days, 3 floating holidays, as well as 6 company-paid holidays per year. Paid leave for maternity, paternity and family care instances.

 

Pay Range
$86,000—$92,000 USD

Perks & Benefits Extracted with AI

  • Health Insurance: Health: Medical: with competitive plan designs and support for self-care, wellness and mental health. Dental: with in-network and out-of-network benefit. Vision: with in-network and out-of-network benefit.
  • 401(k) with matching contribution: 401(k) with Roth option and matching contribution. Health Savings Account with matching contribution.
  • Paid Parental Leave: Paid leave for maternity, paternity and family care instances.
  • Paid Time Off: Paid time off with flexibility to meet your life needs, including 5 weeks of vacation time, 7 health and wellness days, 3 floating holidays, as well as 6 company-paid holidays per year.
84.51°
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Salary
$86,000 – $92,000 per year
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