Senior Data Engineer

🕒 March 19

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Quantiphi

1001 - 5000 employees

Founded 2013

🤖 Artificial Intelligence

🏢 Enterprise

📚 Education

💰 Series A on 2019-12

Artificial Intelligence • Enterprise • Education

Quantiphi is a leading AI-first digital engineering company that leverages a decade of industry expertise to empower businesses through scalable, secure, and adaptable AI solutions. By integrating cutting-edge technology with real-world applications, Quantiphi transforms organizations across various sectors including healthcare, finance, education, and retail. Their services span AI applications, data analytics, cloud infrastructure modernization, and custom AI implementations. Quantiphi partners with technology giants like AWS, Google Cloud, NVIDIA, and others to drive AI adoption and deliver transformational opportunities for enterprises.

📋 Description

• Design, build, and maintain scalable data pipelines • Work with batch and streaming architectures • Define overall data architecture for ingestion, storage, transformation, and analytics on GCP • Collaborate with Business Analysts and Data Engineers • Oversee data ingestion architecture using SQL-based ELT pipelines • Establish data governance and quality frameworks • Optimize BigQuery data structures • Provide architectural direction and mentorship to team members • Partner with security and infrastructure teams for compliance

🎯 Requirements

• 10+ years of experience in data architecture/design • 6+ years on GCP • Deep expertise in Google BigQuery design and performance tuning • Strong working knowledge of Cloud Composer (Airflow) • Solid understanding of insurance data structures from Guidewire systems • Experience architecting enterprise-grade ELT frameworks • Hands-on proficiency in SQL and analytical environment schema design • Familiarity with data governance and metadata management • Ability to lead technical teams and guide design decisions

🏖️ Benefits

• Health insurance • 401(k) • Flexible work arrangements • Professional development opportunities • Paid time off

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