Senior Data Engineer (P1692)

Cincinnati, OH; Chicago, ILPosted 5 days ago

Role Overview

8451 is hiring a Senior Data Engineer (P1692). This is a full-time role in Cincinnati, OH; Chicago. Part of 8451's Fullstack hiring, posted 5 days ago. the employer indicates they sponsor work visas. Full responsibilities, required qualifications, and the apply link are listed in the description below.

Salary Context

Salary is not disclosed in this posting. Market median for Senior-level Fullstack roles is $150k-$180k (based on 19 comparable listings). Many employers share specifics during the interview process or after an initial screen.

Resume Keywords to Include

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PythonJavaSQLFlaskFastAPIAzureKubernetesTerraform

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°!

__________________________________________________________

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)

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:

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:

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, 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 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.

Pay Range

$98,000—$169,050 USD

About 8451

8451

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Frequently Asked Questions

How do I apply for the Senior Data Engineer (P1692) position at 8451?

Use the Apply button above to submit your application directly to 8451. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.

Where is the Senior Data Engineer (P1692) position at 8451 located?

This position is based in Cincinnati, OH; Chicago. 8451 has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.

What does a Senior Data Engineer (P1692) at 8451 earn?

8451 has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.

When was the Senior Data Engineer (P1692) role at 8451 posted?

This role was posted on July 6, 2026 (5 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.

Does 8451 sponsor work visas for this role?

Yes. 8451 has indicated that this position is open to candidates requiring work visa sponsorship. Confirm specifics (H-1B, OPT, country eligibility, etc.) during the recruiter screen.

How much experience does the Senior Data Engineer (P1692) role at 8451 require?

This is a senior-level position. Most senior roles call for 5+ years of directly relevant experience. 8451 lists their specific requirements in the description below, so review the must-have qualifications closely before applying.