Senior Data Engineer (P3963)

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.

Join us at 84.51°!

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Senior Data Scientist (P3963)

84.51 is seeking a talented and motivated Data Engineer to join our dynamic team. As a Data Engineer, you will play a critical role in developing and maintaining our data infrastructure, ensuring the smooth flow of data for our analytics and insights projects. The ideal candidate will have a strong background in SQL, data warehousing, ETL processes, and a preference for Snowflake experience. Additional experience with dbt or semantic layer tools will be a bonus, and proficiency in Python will also be advantageous.

Key Responsibilities

• Design, develop, and maintain data pipelines and ETL processes to extract, transform, and load data from various sources into our data warehouse.


• Optimize data ingestion and transformation processes to ensure efficient and scalable data flows.


• Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs.


• Develop and maintain data models, schemas, and data dictionaries for efficient data storage and retrieval.


• Perform data validation, quality checks, and troubleshooting to identify and resolve data-related issues.


• Monitor and optimize database performance, including query tuning and index optimization.


• Collaborate with data scientists and analysts to implement data models and support their data requirements.


• Stay up-to-date with industry trends and best practices in data engineering, and proactively recommend and implement improvements to our data infrastructure.

Qualified candidates should have the following:

• Bachelor's degree in Computer Science, Engineering, or a related field.


• Solid experience with SQL and data warehousing concepts.


• Strong understanding of ETL processes and tools.


• Preferred experience with Snowflake data warehouse platform.


• Bonus for experience with dbt or other semantic layer tools.


• Proficiency in Python is a plus.


• Excellent problem-solving and analytical skills.


• Strong attention to detail and ability to work in a fast-paced environment.


• Effective communication skills and ability to collaborate with cross-functional teams.

#LI-SSS

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: Hybrid work environment. 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

$67,000 - $181,250 USD