What are the responsibilities and job description for the Senior Data Engineer (P358) position at 8451?
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 Engineer, AI Enablement (P358)
Summary
As a Senior Data Engineer on our AI Enablement team, you will cultivate strategies and solutions to ingest, store and distribute our big data. This role is on our enablement team that builds solutions for monitoring, registering, and tracking our machine learning and AI solutions across 84.51˚ and develops monitoring and observability pipelines for our internal AI tooling. Our engineers use PySpark, Python, SQL, GitHub actions, and Databricks/Azure to develop scalable data solutions.
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 of Python and PySpark based solutions
- Perform development of cloud based (Azure) ETL solutions
- Build and configure cloud infrastructure for all stages of the data development lifecycle
- Execute unit and integration testing
- Develop robust data QA processes
- Collaborate with senior resources to ensure consistent development practices
- Provide mentoring to junior resources
- Build visualizations in Databricks Apps, Databricks Dashboards and PowerBI
- Bring new perspectives to problems and be driven to improve yourself and the way things are done
Qualifications, Skills, and Experience
- Bachelor’s degree in Computer Science, Management Information Systems, Mathematics, Business Analytics or another technically strong program.
- 3 years proven ability of professional data engineering experience
- Strong understanding of Agile Principles (Scrum)
- 3 years proven ability of developing with Python and PySpark
- Full understanding of ETL concepts and data warehousing concepts
- Experience with CI/CD frameworks (GitHub Actions a plus)
- Experience with visualization techniques and tools like Databricks dashboards or PowerBI a plus
- Languages/Tech stack:
- Python
- PySpark
- Terraform
- Databricks
- GitHub Actions
- Azure
- AKS experience a plus
- Dashboard experience a plus
- WebApp experience a plus
PLEASE NOTE:
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 Stated and with the Kroger Family of Companies (i.e. H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status).
#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: 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
$97,000 - $166,750 USD
Salary : $97 - $167