Senior Data Engineer (P1129)

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°!

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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 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)

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 :
• Take ownership of features and drive them to completion through all phases of the entire 84.51° SDLC. This includes internal and external facing 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

QUALIFICATIONS, SKILLS & 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)

Demonstrates an understanding of AI concepts and patterns.

Bachelor’s Degree (Computer Science, Management Information Systems, Mathematics, Business Analytics, or STEM)

Desired Characteristics & Technical Skills:

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 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.

Base Pay Range

$98,000 — $169,050 USD