Data Engineer

Emploi pas sur LinkedIn

🕒 il y a 2 mois

🏄 California – Distant

🏄 California – Remote

💵 $130 000 - $160 000 / an

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

🚰 Ingénieur Data

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ParentSquare

Site WebLinkedInTous les Emplois

201 - 500 employés

Fondée en 2011

📚 Éducation

☁️ SaaS

🤝 B2B

Education • SaaS • B2B

ParentSquare est une plateforme de communication unifiée, optimisée par l'IA, spécialement conçue pour les écoles et les districts K-12. Elle centralise les notifications de masse, les messages de classe et individuels, les formulaires et autorisations, les outils de présence, les sites web des écoles, la livraison sécurisée de documents, les paiements, et les analyses pour rationaliser l'engagement entre les éducateurs, les familles et le personnel. La plateforme met l'accent sur la traduction bidirectionnelle, les intégrations SIS, la protection des données et une intégration facile, et est délivrée comme un service logiciel utilisé par les districts et les écoles pour améliorer l'engagement des familles et les flux de travail opérationnels.

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.

🎯 Exigences

• 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!

🏖️ Avantages

• 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