Senior Data Engineer

Summary

Join Pipe's growing data engineering team as a Senior Data Engineer/Analytics Engineer. We're a remote-first company building cutting-edge embedded financial solutions. You'll work with a complex, high-volume data pipeline using technologies like Go, Postgres, Python, BigQuery, and more. This role requires significant experience in data modeling, SQL, and building semantic layers for data warehouses. We offer competitive compensation, excellent benefits, flexible work hours, and a supportive team environment. If you're a customer-obsessed, skilled data engineer eager to learn and contribute to a growing company, we encourage you to apply.

Requirements

• 3-5+ years of experience writing production-quality code (with tests)
• 3+ years of extensive experience in schema design and data modeling strategies (e.g., dimensional modeling, data vault, etc.)
• Advanced skills with writing clean, performant, scalable SQL
• Proven ability to design and implement a semantic layer for a data warehouse, enabling self-service analytics and reporting
• Demonstrated track record of creating and championing data modeling standards and best practices across technical teams
• Hands-on experience with one or more technologies in our stack (not all of them)
• Experience in an agile team and collaborating asynchronously
• Customer obsessed, with good communication skills
• Curious and eager to learn

Responsibilities

• Write production-quality code (with tests)
• Design and implement a semantic layer for a data warehouse, enabling self-service analytics and reporting
• Create and champion data modeling standards and best practices across technical teams

Benefits

• The best equipment to help you do your job: computers, monitors, desks, chairs, headphones, speakers, webcams, keyboards, mice, etc
• Flexible vacation and work hours
• Excellent health, dental, and vision insurance
• Generous parental leave for anyone who is growing their family, regardless of gender
• Competitive salary and equity