Data & Analytics, Retail Technology, Marketing & Advertising

Senior Data Engineer (P1754) (P1752)

Cincinnati, OHOnsiteFull TimeSenior$121,000–$169,000 /yrPosted 9 days agoVisa sponsorship available

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Required skills

Databricks
Cloud-based solutions
data scientists
Product partners
data pipelines
retrospective reviews
estimation process
governed data
metadata
data quality

Nice to have

Azure
Databricks Delta Tables
Delta Lake
Delta Live Tables
Relational Data Modeling
Python Library Development

Role summary

The Senior Data Engineer will take ownership of features and drive them to completion through all phases of the SDLC, including internal and external facing applications and process improvement. Responsibilities include designing and developing Databricks and Cloud-based solutions, implementing automated testing, collaborating with architects and engineers, mentoring junior engineers, and working with cross-functional teams to translate analytical needs into reliable data pipelines. The role also involves participating in retrospectives and estimations, solving complex problems, driving improvements in data engineering practices, and preparing/validating governed data and metadata. A Bachelor's Degree in a STEM field and 3+ years of experience in Data Development, Databricks, PySpark/Spark, and Python/Java are required.

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)

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

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