Data Engineer, Analytics Data Engineering

The role

This role focuses on designing and building large-scale analytics data pipelines using current Big Data technologies without legacy constraints. The engineer will establish data models, integrations, and platform architecture while collaborating across business units and engineering teams. On-call participation is expected as part of the position.

What you'd do

• Define company data assets and data models using Spark and SQL
• Design data integrations and quality frameworks, evaluate tools for data lineage
• Partner with business units and engineers on long-term Data Platform strategy
• Own data architecture for multiple large-scale projects with cost-benefit analysis
• Collaborate with engineers, product managers, and data scientists on data needs
• Design, build, and deploy data models and visualizations across products
• Optimize pipelines, dashboards, and systems for efficient artifact development
• Participate in on-call rotations as required

What they're looking for

• 5+ years developing with Spark, Python, Java, C++, or Scala
• 5+ years of SQL experience
• 5+ years with schema design, dimensional modeling, and medallion architectures
• Experience with Databricks platform and data lake architectures
• Strong product thinking and ability to influence cross-functional teams
• Bachelor's degree in Computer Science or related technical field, or equivalent
• Experience designing, building, and maintaining data processing systems

Nice to have

• 7+ years of SQL experience
• 7+ years with schema design and medallion architecture patterns
• Experience with Airflow or similar orchestration tools
• Data quality monitoring experience using MonteCarlo or similar platforms