8
8451~1mo ago
USD 97000-166750/yr

Senior Data Engineer

Data EngineeringData EngineerDataData & AI
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Quick Summary

Key Responsibilities

Design, build, and maintain scalable, efficient, and reliable data pipelines to support data ingestion, transformation, and integration across diverse sources and destinations,

Technical Tools
Data EngineeringData EngineerDataData & AI

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.

84.51° follows a 5‑day in‑office work schedule to support collaboration, alignment, and team connection.

Join us at 84.51°!

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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).

Cincinnati, OH or Chicago, IL

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°!

As a Senior Data Engineer, you will have the opportunity to build solutions that ingest, transform, store, and distribute our big data to be consumed by data scientists and our products.

Our data engineers use PySpark/Python, Databricks, and other Azure based data engineering technologies and visualization tools to deliver data capabilities and services to our scientists, products, and tools.

Responsibilities

~1 min read
  • 3+ years proven ability of professional Data Development experience
  • 2+ years proven ability of developing with Databricks or Hadoop/HDFS
  • 2+ years of experience with PySpark/Spark
  • 3+ years of experience developing with either Python or Java
  • 3+ years of experience with SQL and NoSQL technologies.
  • Full understanding of ETL concepts and Data Warehousing concepts
  • Experience with Pipeline Orchestration
  • Experience with CI/CD
  • Experience with version control software
  • Strong understanding of Agile Principles (Scrum)
  • Bachelor’s Degree (Computer Science, Management Information Systems, Mathematics, Business Analytics, or STEM)

Nice to Have

~2 min read
  • Experience with Azure 
  • Experience with Databricks Delta Tables, Delta Lake, Delta Live Tables
  • Proficient with Relational Data Modeling
  • Experience with CI/CD pipelines
  • Experience with Python Library Development
  • Experience with Structured Streaming (Spark or otherwise)
  • Experience with Kafka and/or Azure Event Hub
  • Experience with Github SaaS / Github Actions
  • Experience with Snowflake
  • Exposure to BI Tooling (Tableau, Power BI, Cognos, etc.) 

#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
$97,000$166,750 USD

Location & Eligibility

Where is the job
Cincinnati, United States
On-site at the office
Who can apply
US
Listed under
United States

Listing Details

First seen
March 26, 2026
Last seen
May 2, 2026

Posting Health

Days active
37
Repost count
0
Trust Level
42%
Scored at
May 2, 2026

Signal breakdown

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8
Senior Data Engineer USD 97000-166750