Description

• Design, build, and optimize data pipelines and structures that support reliable, efficient data processing & delivery at scale 
• Contribute to a growing semantic & analytics layer, including dimensional modeling for Care & Retail reporting 
• Migrate and modernize pipelines to standardized, reusable ingestion patterns and layered data architecture 
• Engage business teams to understand their problem space and coordinate technical changes end-to-end 
• Perform impact analysis, diagnose issues, and validate that changes deliver expected outcomes 
• Conduct root cause analysis on data and process issues, and flex into ad hoc analysis when the business needs answers fast 
• Identify opportunities to consolidate redundant data objects, reduce support burden, and improve reusability 
• Adopt and apply AI tools and modern engineering practices to improve throughput and reduce per-unit delivery overhead 

WHAT WE'RE LOOKING FOR

Experience 

• 2-4 years of data engineering experience 
• Experience designing & building data pipelines and data lakes in a cloud environment 
• Experience with root cause analysis on data and process issues, with the ability to trace problems across systems and translate findings into action 
• Comfortable flexing into an analytical or systems analyst role when the work requires it — this team supports the business, not just the pipeline 
• Experience managing stakeholder expectations across technical & business teams 

Technical Skills 

• Strong SQL, including performance tuning & optimization in large-scale analytical environments (Required) 
• Familiarity with Microsoft Fabric, Databricks, and the Azure data stack, including Azure Data Lake Storage (Preferred) 
• Familiarity with dimensional modeling, star schema design, and semantic layer concepts (Preferred) 
• Familiarity with medallion architecture (bronze/silver/gold) and data lake design patterns (Preferred) 
• Familiarity with Power BI for understanding downstream analytics consumption; DAX experience a plus (Preferred) 
• Familiarity with Python, Scala, or other scripting languages used in pipeline development (Preferred) 
• Familiarity with common software design principles such as DRY, SRP, and OOP (Preferred) 
• Experience using AI tools, agents, or automation to accelerate engineering workflows (Preferred) 

How You Work 

• Systems thinker: you consider how data, tools, processes, and stakeholders interact across a broader ecosystem 
• Product owner mindset: end-to-end accountability for what you build, not just the ticket in front of you 
• Clear communicator: you can explain technical tradeoffs to non-technical partners without losing the substance 
• Bias toward simplicity: you ask whether complexity is necessary before adding it 

EDUCATION 

• Bachelor's degree plus 2+ years of related work experience, or a combination of education & experience deemed equivalent 
• Relevant fields include Computer Science, Statistics, Informatics, Information Systems, or a quantitative equivalent

Key Skills

Education

Bachelor’s degree