--- title: 'Senior Data Engineer (P1754) (P1752) at 84.51°' canonical: 'https://feeny.ai/job/senior-data-engineer-p1754-p1752-84-51-cincinnati-gmjt3agswzr8' type: 'job' last_seen: '2026-10-31' --- # Senior Data Engineer (P1754) (P1752) at 84.51° - **Company:** 84.51° - **Location:** Cincinnati, OH / Chicago, IL - **Compensation:** $121k–$169k - **Posted:** 2026-10-29 - **Last confirmed live:** 2026-10-31 - **Apply:** https://job-boards.greenhouse.io/8451/jobs/8923332002 ## 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) 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 - Collaborate within a cross-functional team of data scientists, Product partners, and engineers to translate analytical needs into reliable data pipelines and scalable solutions - 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 - Prepare, validate, and organize governed data and metadata to support reliable analytics and downstream data consumers. QUALIFICATIONS, SKILLS, AND EXPERIENCE - Bachelor’s Degree (Computer Science, Management Information Systems, Mathematics, Business Analytics, or STEM) - 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) - Experience preparing and validating data for downstream consumers, with an emphasis on data quality, governance, and clear metadata documentation. ## BONUS POINTS FOR EXPERIENCE IN THE FOLLOWING - ## Experience with Azure - Experience with Databricks Delta Tables, Delta Lake, Delta Live Tables - Proficient with Relational Data Modeling - ## Experience with Python Library Development - ## Experience with Structured Streaming (Spark or otherwise) - ## Experience with Kafka and/or Azure Event Hub - ## Experience with Github SaaS / Github Actions - Exposure to BI Tooling (Tableau, Power BI, Cognos, etc.) - Experience with Kubernetes and Azure Kubernetes Service (AKS). - Experience building APIs with FastAPI. ## #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 $121,000—$169,000 USD ## About 84.51° ## Company Overview - **One-liner**: A retail data science, insights and media company that leverages first-party data from over 62 million U.S. households to help The Kroger Co. and consumer goods brands create personalized shopping experiences. - **Entity Type**: Private (wholly-owned subsidiary of The Kroger Co.) - **Headquarters**: Cincinnati, Ohio, United States - **Founded**: 2015 - **Founders**: Not publicly available (formed from Kroger’s acquisition of dunnhumby’s North American operations) ## Core Business - **Primary industries**: Retail data science, consumer insights, retail media, loyalty marketing - **Target customers**: B2B – consumer packaged goods companies, agencies, publishers, and business-affiliated partners; also serves Kroger’s internal business units - **Mission statement**: “We create results-driving shopper insights and activation strategies that build measurable value for our clients.” (via [8451.com](https://www.8451.com/who-we-are/)) ## Products & Services - **84.51° Insights**: Custom research and analytics to understand the shopper’s path to purchase. - **84.51° Loyalty Marketing**: Targeted and personalized marketing programs leveraging Kroger’s loyalty card data. - **Kroger Precision Marketing (KPM)**: Retail media advertising solution on Kroger-owned and partner properties, offering addressable, actionable audiences. - **84.51° Stratum**: A breakthrough analytics solution for deep customer intelligence. - **84.51° Collaborative Cloud**: A platform for collaborative data sharing and insights. - **84.51° In-Queries**: In-store analytics and query tools. ## Market Standing - **Valuation / Market Cap**: Not publicly available (private subsidiary of Kroger, a public company – NYSE: KR) - **Key Metric**: Data covers **over 62 million households** and **2 billion+ transactions** in the U.S. (per [8451.com](https://www.8451.com/) and [linkedin.com](https://www.linkedin.com/company/84-51)) - **Notable Investors/Partners**: The Kroger Co. (parent); works with **1,500+ consumer packaged goods brands** and agencies. - **Growth Signals**: LinkedIn reports **57,238 followers** (yearly growth +9.8%). Active job postings: **60 positions** as of mid-2025. Headquartered in Cincinnati with ~1,400 employees (LinkedIn breakdown). ## Competitive Advantages - **Exclusive first-party data**: Access to Kroger’s loyalty card data from nearly one in two U.S. households, providing granular purchase behavior across grocery, health, beauty, and personal care. - **Integrated ecosystem**: Combines data science, loyalty marketing, and retail media under one roof, creating a “repeatable infinite loop” of engagement. - **Scale**: Serves over 1,500 CPG clients and has deep relationships with the largest U.S. grocery retailer. - **Advanced AI & analytics**: Heavy investment in AI, data science, and engineering to derive actionable insights at scale. ## Strategic Focus - **AI integration**: Under Chief Data & AI Officer Milen Mahadevan, the company is expanding AI integration across customer intelligence, decision-making, and personalization. - **Enterprise AI program**: Building reusable tools, services, and patterns to make AI “safer, faster, better, and more cost-effective.” - **Retail media growth**: Growing Kroger Precision Marketing as an alternative profit portfolio and expanding addressable media audiences. ## Why Work Here - **Culture**: Described as “Limitless Minds, Fearless Hearts, Relentless Delivery” with employee resource groups such as ITOPiA (introverts), Women’s EDGE, Allyship In Action, and Men for Equality. - **Career paths**: Clear tracks in Data Science, Engineering, Product & Design, Consumer Research, Consulting, and Corporate functions. Emphasis on meaningful, challenging work from day one. - **Perks**: Competitive medical, dental, vision; 401(k) with matching; paid time off (vacation, health/wellness days, floating holidays); paid parental and family leave; health savings account with matching. - **Work environment**: Hybrid presence in Cincinnati; collaborative, tech-forward office culture. The company values “naturally curious” people and supports long tenure (many employees stay 10+ years). - **Compensation examples** (from LinkedIn): Business Analyst ~$95,442/yr; Intern ~$39,963/yr; Senior Account Executive ~$90,274/yr. ## Sources 1. [8451.com – Homepage](https://www.8451.com/) 2. [8451.com – Who We Are](https://www.8451.com/who-we-are/) 3. [8451.com – Careers](https://www.8451.com/careers/) 4. 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