84.51
Senior Data Engineer
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! Your role will involve collaboration with cross-functional teams, leveraging cutting-edge technologies, and ensuring scalable, efficient, and secure data engineering practices. You'll be primarily working within Azure, creating an application that specializes in campaign management. Responsibilities Provide Technical Leadership Build and Maintain Data Pipelines Drive Innovation Implement Automated Testing Optimize Data Workflows Mentor Team Members Draft and Review Documentation Requirements Bachelor's degree typically in Computer Science, Management Information Systems, Mathematics, Business Analytics or another STEM degree. Proven experience in leading cross-functional teams and managing complex projects from inception to completion 3+ years of professional Data Development experience. 3+ years of experience with SQL and NoSQL technologies. 2+ years of experience building and maintaining data pipelines and workflows. 2+ years of experience developing with Python & Pyspark. Experience developing within databricks. Experience with CI/CD pipelines and processes. Experience with automated unit, integration, and performance testing. Experience with version control software such as Git. Full understanding of ETL and Data Warehousing concepts. Strong understanding of Agile principles (Scrum). Preferred Qualifications Knowledge of Structured Streaming (Spark, Kafka, EventHub, or similar technologies). Experience with GitHub SaaS/GitHub Actions. Experience with Service Oriented Architecture. Experience with containerization technologies such as Docker and Kubernetes. Pay Range $97,000 - $166,750 USD
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! Your role will involve collaboration with cross-functional teams, leveraging cutting-edge technologies, and ensuring scalable, efficient, and secure data engineering practices. You'll be primarily working within Azure, creating an application that specializes in campaign management. Responsibilities Provide Technical Leadership Build and Maintain Data Pipelines Drive Innovation Implement Automated Testing Optimize Data Workflows Mentor Team Members Draft and Review Documentation Requirements Bachelor's degree typically in Computer Science, Management Information Systems, Mathematics, Business Analytics or another STEM degree. Proven experience in leading cross-functional teams and managing complex projects from inception to completion 3+ years of professional Data Development experience. 3+ years of experience with SQL and NoSQL technologies. 2+ years of experience building and maintaining data pipelines and workflows. 2+ years of experience developing with Python & Pyspark. Experience developing within databricks. Experience with CI/CD pipelines and processes. Experience with automated unit, integration, and performance testing. Experience with version control software such as Git. Full understanding of ETL and Data Warehousing concepts. Strong understanding of Agile principles (Scrum). Preferred Qualifications Knowledge of Structured Streaming (Spark, Kafka, EventHub, or similar technologies). Experience with GitHub SaaS/GitHub Actions. Experience with Service Oriented Architecture. Experience with containerization technologies such as Docker and Kubernetes. Pay Range $97,000 - $166,750 USD