51° is a retail data science, insights and media company. , consumer packaged goods companies, agencies, publishers and affiliates create more personalized and valuable experiences for shoppers across the path to purchase. S.

51° Loyalty Marketing and our retail media advertising solution, Kroger Precision Marketing. 51° follows a 5‑day in‑office work schedule to support collaboration, alignment, and team connection. 51°!

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 at Kroger. We use agile development methodology, starting with Big Room Planning bringing everyone into the planning process to build scalable enterprise applications. SUMMARY : 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 developer the products, tools and features.

RESPONSIBILITIES

51° SDLC.

QUALIFICATIONS

, SKILLS, AND EXPERIENCE : 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 (Computer Science, Management Information Systems, Mathematics, Business Analytics, or STEM) PREFERRED SKILLS – Experience in the following is a plus 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.) #LI-AB1

Pay Transparency

and

Benefits

The stated salary

Senior Data Engineer (P4533)