Category Management Data Engineer at The Bluebird Group

Company Overview

The Bluebird Group is a manufacturer’s representative and consulting firm serving as an invaluable partner to some of the most innovative brands and multinational retailers. We are committed to delivering innovative solutions, focusing on growth, expertise, data, and fostering relationships.

Job Summary

We’re looking for a resourceful, ambitious builder excited to work at the intersection of retail analytics, data engineering, and technology enablement. This entry-level role (1–2 years of software or data engineering experience) is ideal for someone who loves data, enjoys solving problems, and wants to help create the next generation of retail capabilities.

Foundational knowledge of software and data engineering is important, plus the grit to learn fast, navigate roadblocks, and take ownership of meaningful projects from day one. You’ll work closely with our Category Management and Tech teams to deliver thoughtful reporting and insights while also helping automate workflows, build data pipelines, and support new software tools.

Key Responsibilities

• Category Management Responsibilities (20%)
• Partner with Category Management leadership to define priorities and product roadmap.
• Run weekly/monthly reporting across syndicated, POS, retail, digital, and social datasets.
• Build actionable insights and clear, best-in-class presentations for internal and client needs.
• Deliver ad hoc reporting as business needs evolve.
• Data Infrastructure Responsibilities (80%)
• Automate reporting by integrating multiple data sources and building efficient pipelines.
• Build, maintain, and troubleshoot data pipelines using company-standard tools and cloud architecture.
• Serve as backend data owner for new internal software — validating data quality, defining logic flows, and supporting functional requirements.
• Diagnose data issues, validate outputs, and maintain consistency across reporting layers.
• Document processes, data models, and logic to create a sustainable, maintainable ecosystem.
• Take on increasingly complex projects as technical depth grows.
  

Qualifications

• Required:
• Azure infrastructure familiarity (or equivalent experience with AWS/GCP and ability to adapt).
• Strong SQL skills and understanding of relational data modeling.
• Python for data engineering (ingestion, transformation, modeling).
• Experience building and orchestrating data pipelines, including REST/GraphQL API integration.
• 0–2 years in software engineering or data engineering.
• Understand databases, data structures, and data cleaning/transformation.
• Experience with SQL, Python, and BI tools.
• Strong analytical mindset, attention to detail, and clear communication skills.
• Optional but Valuable
• Familiarity with Next.js / Node.js / static web apps (useful for internal tool extensions).
• Power BI experience for dashboards and analytical visualizations.
• Familiarity with Git for version control and Agile methodology
  

Benefits

We offer a comprehensive benefits package, including:

• Parking/Commuting Stipend (for those working in our Minneapolis office)
• Cell Phone Plan or Reimbursement
• Medical
• Dental
• Vision
• HSA (with employer match)
• Short Term and Long-Term Disability
• Life Insurance
• 401(k) (with employer match)
  
  
  

Work Environment

This job operates in a professional office environment. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines.

Physical Demands

The Physical Demands Described Here Are Representative Of Those That Must Be Met By An Employee To Successfully Perform The Essential Functions Of This Job. The Ability To

• remain seated or standing for extended durations, often more than 50% of the workday.
• constantly operate a computer and other office equipment like printers, calculators, and copiers.
• use one's hands for tasks like typing, grasping, and using a mouse.
• move items such as boxes of files, office supplies, or other equipment that weigh up to 10-20 pounds.
  
  
  

Disclaimer: This job description is only a summary of the typical functions of the job, not an exhaustive or comprehensive list of all possible job responsibilities, tasks, and duties. Responsibilities, tasks, and duties of the jobholder might differ from those outlined in the job description and other duties, as assigned, might be required.