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.
Join us at 84.51°!
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Lead Data Engineer (P4031)
Cincinnati / Chicago
SUMMARY :
The Lead Data Engineer serves as both a technical leader and an individual contributor within the data engineering team, embodying a player/coach role. This position is responsible for guiding and mentoring a team of data engineers while actively participating in data engineering projects to deliver results that support organizational objectives. As a technical lead, you will balance team leadership with hands-on contributions to drive innovation and excellence in data engineering. You will cultivate strategies and solutions to ingest, store and distribute our big data. Our developers use Python (PySpark, FastAPI), Databricks, and Azure cloud services in 6 week long scrum cycles to develop 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:
- Lead design and perform development of Python (PySpark, FastAPI) / Databricks / Azure based solutions
- Develop and execute unit and integration testing
- Collaborate with senior resources to ensure consistent development practices
- Provide mentoring to junior resources
- Bring new perspectives to problems and be driven to improve yourself and the way things are done
- Manage resourcing across key initiatives in support of domain roadmaps and initiatives
QUALIFICATIONS, SKILLS, AND EXPERIENCE :
- Bachelor’s degree typically in Computer Science, Management Information Systems, Mathematics, Business Analytics or another technically strong program.
- 5+ years proven ability of professional data development experience
- Strong understanding of Agile Principles (Scrum)
- 5+ years proven ability of developing Spark based solutions in a cloud environment
- Full understanding of ETL concepts and data warehousing concepts
- 3+ year developing experience with Python
- Experience with Databricks, REST APIs, and Microsoft Azure cloud services
#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
$121,000—$201,250 USD
