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Lead Data Engineer at 8451 | Cincinnati, OH or Chicago, IL

84.51°Cincinnati, OH; Chicago, IL
On-site Full-time $121K/yr - $201.3K/yr

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Experience Level

Manager

Qualifications

Ideal candidates will possess strong expertise in data engineering, with a proven track record of designing scalable data solutions. Proficiency in Azure Cloud, Databricks, and programming languages such as Python and SQL is essential. Experience in Agile development methodologies and a collaborative mindset will set you apart.

About the job

84.51° Overview:

84.51° is at the forefront of retail data science, insights, and media, empowering The Kroger Co. and its partners to deliver personalized and impactful shopping experiences. By leveraging first-party retail data from over 62 million U. S. households, we drive a customer-centric journey through innovative solutions like 84.51° Insights, 84.51° Loyalty Marketing, and our retail media platform, Kroger Precision Marketing.

At 84.51°, we believe in fostering collaboration and teamwork through a 5-day in-office work schedule.

Join our mission at 84.51°!

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Lead Data Engineer (P1952)

Cincinnati, OH or Chicago, IL

As a leading data science company and a proud subsidiary of The Kroger Company, we manage a vast data ecosystem, comprising 10 petabytes of data and generating over 35 terabytes of new data weekly from our 62 million household dataset. As a Lead Data Engineer, you will play a pivotal role in developing applications that transform our data into actionable insights, enhancing the customer experience at Kroger. We adopt Agile methodologies and Big Room Planning to ensure alignment among cross-functional teams—Product, Architecture, Data Science, and Engineering—focused on creating scalable enterprise applications.

SUMMARY:

In your role as Lead Data Engineer, you will be responsible for designing and implementing solutions that enable the ingestion, storage, transformation, and distribution of big data on Azure Cloud. Our technology stack includes Databricks (Spark, SQL, PySpark), Databricks Workflows, Python, JSON, and SQL, allowing you to build products and features that facilitate customer personalization on a large scale. Strong communication and collaboration skills with Product and Data Science teams are essential for success in this position.

RESPONSIBILITIES: Take ownership of features and drive them to completion through all phases of the 84.51° Software Development Life Cycle (SDLC). This encompasses both external-facing and internal applications, as well as process improvement initiatives, such as:

  • Developing understanding of business domains and bridging this knowledge to technical stakeholders.
  • Establishing technical strategies in partnership with Data Science, Product, Architecture, and Kroger partners.

About 84.51°

84.51° is a leading retail data science firm dedicated to enhancing the shopping experience through innovative insights and personalized marketing strategies. With access to extensive data from millions of households, we strive to create impactful connections between brands and consumers.

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