Senior Data Engineer; P1692

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 °!

Applicants for employment in the US must have work authorization that does not currently or in the future require sponsorship of a visa for employment authorization in the United States and with the Kroger Family of Companies (i.e. H1‑B visa, F‑1 visa (OPT), TN visa or any other non‑immigrant status).

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 various cutting‑edge technologies to develop applications that turn our data into actionable insights used to personalize the customer experience for shoppers  use agile development methodology, starting with Big Room Planning bringing everyone into the planning process to build scalable enterprise applications.

As a data developer, you will cultivate strategies and solutions to ingest, store, and distribute our big data. Our developers use Python, Databricks, Spark, JSON, and SQL in scrum teams to develop the products, tools, and features.

• 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.
• Participate in the design and development of Databricks and cloud‑based solutions.
• Implement automated unit and integration testing.
• Collaborate with architecture and lead engineers to ensure consistent development practices.
• Provide mentoring to junior engineers.
• Participate in retrospective reviews.
• Participate in the estimation process for new work and releases.
• Collaborate with other engineers to solve and bring new perspectives to complex problems.
• Drive improvements in data engineering practices, procedures, and ways of working.
• Embrace new technologies and an ever‑changing environment.

• 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).
• Bachelor’s degree in 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 Dev Ops / monitoring & reliability.
• Experience with structured streaming (Spark or otherwise).
• Experience with Kafka and/or Azure Event Hub.
• Experience with Git Hub SaaS / Git Hub Actions.
• Experience with Terraform.
• Exposure to BI tooling (Tableau, Power BI, Cognos, etc.).

• 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…