Senior Data Engineer

ParentSquare is a rapidly growing Santa Barbara-based company that’s changing the way schools and parents communicate every day. They are seeking a Senior Data Engineer to build and evolve their data platform, focusing on scalable pipelines, data warehouse architecture, and quality frameworks.

Responsibilities:

• Design and Scale Data Infrastructure: Architect and maintain scalable, reliable data pipelines and systems across our stack
• Drive Data Quality and Governance: Build frameworks and standards that ensure data is accurate, well-documented, and trustworthy at every layer
• Evolve Our Platform: Continuously evaluate and improve our solutions - optimizing for performance, cost, and scalability while bringing best practices and a forward-thinking approach to every decision
• Enable the Business: Partner with Data Science, Analytics, and business teams to develop pipelines, data models, metric definitions and semantic layers and ensure the data is consistent and accurate
• Balance Speed and Scale: Recognize when to move fast with a pragmatic solution and when to invest in building the right system - and communicate those tradeoffs clearly to stakeholders
• Champion Modern Practices: Embrace AI-assisted development workflows, stay current on tooling, and help the team continuously raise the bar

Requirements:

• 5+ years of experience in data engineering, analytics or a closely related field
• Strong SQL and Python skills; comfortable working across the full data stack
• Hands-on experience with modern data tooling and platforms - Fivetran, dbt, Snowflake, Databricks or Redshift
• Experience building data pipelines on cloud platforms (AWS preferred), and infrastructure-as-code tooling such as Terraform
• Experience with change data capture and event-driven data patterns
• Solid understanding of modern warehouse and lakehouse architecture, data modeling fundamentals including Kimball dimensional modeling and medallion design patterns
• Experience with data quality frameworks, and governance practices
• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
• Experience with AI-driven development tools (Cursor, Copilot, or similar) integrated into day-to-day engineering workflows is a bonus!