Lead Data Engineer

About the role

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°!

__________________________________________________________

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).

LEAD DATA ENGINEER

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 and are expected for this role to be successful.

RESPONSIBILITIES: Take ownership of features and drive them to completion through all phases of the entire 84.51° SDLC. This includes external facing and internal applications as well as process improvement activities such as:

*Develop Business Domain understanding, bridges this to technical stakeholders *Sets technical strategy in partnership with Data Science, Product, Architecture, and Kroger partners *Oversees 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 typically in Computer Science, Management Information Systems, Mathematics, Business Analytics or another technically strong program. *5+ years proven ability of professional data development experience *Strong understanding of Agile Principles (Scrum) *5+ years proven ability of developing with Spark (Databricks, PySpark) *Full understanding of ETL concepts and data warehousing concepts *3+ year developing experience with Python *1+ year developing experience with REST APIs *1+ year experience with Kubernetes