ParentSquareRemote
Senior Data Engineer
United States of America
Full Time
1 hour ago
$130,000 - $160,000 USD
H1B Sponsor Likely
Key skills
SQLPythonFivetrandbtSnowflakeDatabricksRedshiftAWSTerraformChange Data CaptureEvent-driven Data PatternsWarehouse ArchitectureLakehouse ArchitectureKimball Dimensional ModelingMedallion Design PatternsData Quality FrameworksData Governance PracticesAI-driven Development ToolsAIData EngineeringAnalytics
About this role
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 data governance.
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!