Senior Data Engineer

ParentSquare is a rapidly growing 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 and data warehouse architecture, while partnering closely with various teams to ensure data quality and availability.

Responsibilities:

• Architect and maintain scalable, reliable data pipelines and systems across our stack
• Build frameworks and standards that ensure data is accurate, well-documented, and trustworthy at every layer
• Continuously evaluate and improve our solutions - optimizing for performance, cost, and scalability while bringing best practices and a forward-thinking approach to every decision
• 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
• 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
• 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!