Lead Data Engineer (P4519)

84.51˚; Cincinnati (OH); On-site; USD 125,000 - 207,000; Full time

Benefits offered by this job

Health benefits

401(k) matching

Paid time off

Job summary

84.51° Lead Data Engineer role focusing on designing and implementing solutions to ingest, store, transform, and distribute big data on Azure Cloud. You will work with Databricks (Spark, SQL, PySpark), Databricks Workflows, Python, JSON, and SQL to build tools powering customer personalization for Kroger shoppers.

In this role, you will collaborate with Product and Data Science, mentor engineers, and drive Databricks-based solution development while aligning with Agile planning and enterprise

Qualifications

• Bachelor’s degree in Computer Science, MIS, Mathematics, Business Analytics or another technically strong program.
• 5+ years of professional data development experience.
• Strong understanding of Agile Principles (Scrum).
• 5+ years of experience developing with Spark (Databricks, PySpark).
• Full understanding of ETL concepts and data warehousing concepts.
• 3+ years of experience developing with Python.
• 1+ year of experience developing REST APIs.
• 1+ year of experience with Kubernetes.

Responsibilities

• Take ownership of features and drive them to completion through all phases of the entire 84.51° SDLC, including external and internal applications and process improvement activities.
• Develop business domain understanding and translate it to technical stakeholders.
• Set technical strategy in partnership with Data Science, Product, Architecture and Kroger partners.
• Oversee team(s) of engineers, including operations and development, blended offshore/onshore.
• Provide mentoring to junior resources.
• Lead design and development of Databricks‑based solutions.
• Perform development of REST APIs hosted in Kubernetes.
• Execute unit and integration testing.
• Collaborate with senior resources to ensure consistent development practices.
• Bring new perspectives to problems and be driven to improve yourself and the way things are done.

Skills

Spark (Databricks PySpark)

Python programming

REST APIs

Education

Bachelor’s degree in CS MIS Math or BA

Tools

Databricks

Kubernetes

SQL

Job description

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.

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

Lead Data Engineer

We are a full‑stack data science company and a wholly owned subsidiary of The Kroger Company. We own 10 petabytes of data and collect 35+ terabytes of new data each week sourced from 62 million households. As a member of our engineering team, you will use cutting‑edge technologies to develop applications that turn our data into actionable insights used to personalize the customer experience for shoppers at Kroger. We practice Agile development with Big Room Planning to align cross‑functional squads—Product, Architecture, Data Science, and Engineering—around building scalable enterprise applications.

Summary

As a Lead Data Engineer, you will design and implement solutions to ingest, store, transform, and distribute big data on Azure Cloud. Our developers use Databricks (Spark, SQL, PySpark), Databricks Workflows, Python, JSON, and SQL to build products, tools, and features that power customer personalization at scale. Communication and collaboration with Product and Data science are critical to success.

Responsibilities

• Take ownership of features and drive them to completion through all phases of the entire 84.51° SDLC, including external and internal applications and process improvement activities.
• Develop business domain understanding and translate it to technical stakeholders.
• Set technical strategy in partnership with Data Science, Product, Architecture and Kroger partners.
• Oversee team(s) of engineers, including operations and development, blended offshore/onshore.
• Provide mentoring to junior resources.
• Lead design and development of Databricks‑based solutions.
• Perform development of REST APIs hosted in Kubernetes.
• Execute unit and integration testing.
• Collaborate with senior resources to ensure consistent development practices.
• Bring new perspectives to problems and be driven to improve yourself and the way things are done.

Qualifications, Skills, and Experience

• Bachelor’s degree in Computer Science, Management Information Systems, Mathematics, Business Analytics or another technically strong program.
• 5+ years of professional data development experience.
• Strong understanding of Agile Principles (Scrum).
• 5+ years of experience developing with Spark (Databricks, PySpark).
• Full understanding of ETL concepts and data warehousing concepts.
• 3+ years of experience developing with Python.
• 1+ year of experience developing REST APIs.
• 1+ year of experience with Kubernetes.

Pay Transparency and Benefits

• The stated salary range represents the entire span applicable across all geographic markets.
• Below is a list of some of the benefits we offer our associates:

• Health: Medical (competitive plan designs and support for self‑care, wellness and mental health), Dental (in‑network and out‑of‑network), Vision (in‑network and out‑of‑network).
• 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.
• Happiness: Paid time off with flexibility, including 5 weeks of vacation, 7 health and wellness days, 3 floating holidays, 6 company‑paid holidays per year; paid leave for maternity, paternity and family care instances.

Pay Range

$125,000—$207,000 USD