Senior Data Engineer (P1129)

United States·Cincinnati,Chicagosenior

Data EngineerData

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Quick Summary

Key Responsibilities

Take ownership of features and drive them to completion through all phases of the entire 84.51° SDLC.

Technical Tools

Data EngineerData

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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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 data engineering technologies and visualization tools to deliver data capabilities and services to our scientists, products, and tools.

This role will also have exposure to Python microservice development, leveraging FastAPI, Helm, AKS and other Aure based technologies for building and hosting applications at scale.

Responsibilities

~1 min read

→3+ years proven ability of professional Data Development experience
→3+ years proven ability of developing with Databricks
→3+ years of experience with PySpark/Spark
→3+ years of experience developing with either Python or Java
→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)
→Demonstrates an understanding of AI concepts and patterns.
→Bachelor’s Degree (Computer Science, Management Information Systems, Mathematics, Business Analytics, or STEM)

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 FastAPI/Flask service development
Experience working with AKS/Kubernetes/Helm
Experience with DevOps / Monitoring & Reliability
Experience with Structured Streaming (Spark or otherwise)
Experience with Kafka and/or Azure Event Hub
Experience with Github SaaS / Github Actions
Experience with Terraform
Exposure to BI Tooling (Tableau, Power BI, Cognos, etc.)

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

$98,000—$169,050 USD