Data Engineer

Meijer

Full-time - Mid Level

Hybrid

10,001+ employees

General Merchandise Retailers

About the position

The Senior Data Engineer at Meijer is responsible for designing, developing, testing, maintaining, and enhancing enterprise data and analytic solutions. This hybrid role requires collaboration with various business areas to implement best-in-class data and analytics solutions, aspiring towards a Solution Architect position. The role involves working within Agile teams and requires a strong understanding of data architecture and analytics technologies.

Responsibilities

• Designs, codes, tests, and implements data movement, dashboarding, and analytical assets.
• Develops system documentation according to SAFe Agile principles and industry standards.
• Evaluates architectural options and defines the overall architecture of the enterprise Data Lake and Data Warehouse.
• Provides subject matter expertise and technical consulting support on vendor or internal applications and interfaces including Azure technologies.
• Defines functional and non-functional requirements including performance monitoring, alerting, and code management.
• Partners with all areas of the business to gather requirements for Data and Analytics and designs solutions.
• Determines major elements and subsystems and defines interfaces as well as architectural runway.
• Mentors and coaches other members of the agile and/or Run team.
• Drives engagement with ITS Security and Infrastructure teams to ensure secure development and deployment of solutions.
• Interfaces with the Product Manager and IT partners to define and estimate features for agile teams.
• Conducts industry research, facilitates new product and vendor evaluations, and assists in vendor selection.

Requirements

• 4-6 years of industry experience in business application design, development, implementation, and/or solution architecture.
• Understanding of architecture practices and execution for large projects/programs.
• Experience building and designing data and analytics on enterprise solutions such as Azure technologies.
• Databricks experience is required.
• Experience designing data pipelines, ingestion, storage, prep-train, model, and serve using Azure technologies.
• Bachelor's degree in Computer Science, Computer Information Systems, Business Information Systems, Engineering or related discipline or equivalent work experience.
• Excellent written and oral communication skills.
• Previous experience in Power BI, Data Modeling, Data Classification, data movement, Data architecture, and reporting.
• In-depth understanding of computer, storage, network components including backup, monitoring, and DR environment requirements.

Nice-to-haves

• Preferred knowledge and experience in Python and API architecture in Azure.
• Any SAFe certification or training.
• Experience with multiple, diverse technical configurations, technologies, and processing environments.

Benefits

• Weekly pay
• Scheduling flexibility
• Paid parental leave
• Paid education assistance
• Team member discount
• Development programs for advancement and career growth