Data Engineer

Job not on LinkedIn

🕒 June 3

🏄 California – Remote

🏄 California – Remote

💵 $130k - $160k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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ParentSquare

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2011

📚 Education

☁️ SaaS

🤝 B2B

Education • SaaS • B2B

ParentSquare is a unified, AI-enhanced communication platform purpose-built for K–12 schools and districts. It centralizes mass notifications, classroom and one-to-one messaging, forms and permission slips, attendance tools, school websites, secure document delivery, payments, and analytics to streamline engagement between educators, families, and staff. The platform emphasizes two-way translation, SIS integrations, data privacy, and easy onboarding, and is delivered as a software service used by districts and schools to improve family engagement and operational workflows.

📋 Description

• 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!

🏖️ Benefits

• Employer-paid health insurance (including dependent coverage) • An employer-matched 401K retirement savings program from day 1 • Paid Parental Leave • Stock options • Health + wellness reimbursements • PTO that increases each year • 15 paid holidays, including your birthday! • Fully remote team with tools and equipment provided for home office