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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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.
Skills Required
- 3+ years professional Data Development experience
- 3+ years developing with Databricks
- 3+ years with PySpark/Spark
- 3+ years developing with 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 (e.g., Git)
- Strong understanding of Agile Principles (Scrum)
- Demonstrates an understanding of AI concepts and patterns
- Bachelor's Degree in Computer Science, MIS, 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 Python library development
- Experience with FastAPI or Flask service development
- Experience with AKS/Kubernetes/Helm
- Experience with DevOps, monitoring and 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)
84.51° Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about 84.51° and has not been reviewed or approved by 84.51°.
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Leave & Time Off Breadth — Time off is described as generous from day one, with substantial vacation alongside wellness/floating days and company holidays. This breadth of leave is treated as a standout element of the package.
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Retirement Support — The package includes a 401(k) with a matching contribution and an HSA match for eligible plans. These features are positioned as solid components that enhance overall compensation value.
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Parental & Family Support — Paid parental leave covers birth and adoption with support for both birthing and non‑birthing parents. This complements core health coverage and reinforces a family‑friendly offering.
84.51° Insights
What We Do
At 84.51° we use sophisticated tools, technology and data analytics to help retail partners develop, nurture and embrace customer-driven relationships. 84.51° is a retail data science, insights and media company. We help the Kroger company, consumer packaged goods companies, agencies, publishers and affiliated partners create more personalized and valuable experiences for shoppers across the path to purchase. Powered by cutting edge science, we leverage 1st party retail data from nearly 1 of 2 US households and 2BN+ transactions to fuel a more customer-centric journey utilizing 84.51° Insights, 84.51° Loyalty Marketing and our retail advertising solution, Kroger Precision Marketing.
