Назад
2 дня назад

Member of Technical Staff (Data Engineering)

200 000 - 260 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior/lead
Страна
US
inВакансия из LinkedIn

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Описание вакансии

TL;DR
Member of Technical Staff (Data Engineering): Architecting and building scalable, AI-ready data platforms with an accent on ingestion pipelines, ETL/ELT workflows, and data governance. Focus on designing reliable data infrastructure, enabling self-service analytics, and leading technical architecture decisions.
🚀 WE’RE HIRING: Member of Technical Staff, Data Engineering
Build the next generation of intelligent, scalable data platforms!
📍 Role Details
• 🌍 Global | Fully Remote
• Contract: Full-time
• Compensation: $200,000–$260,000 annually (base salary)
• Benefits: Equity, potential bonuses, health insurance reimbursement, PTO, and 401(k) matching
• Openings: 1
💡 The Opportunity
Own the development of a modern, AI-ready data platform supporting analytics, operational intelligence, and autonomous workflows.
🛠️ What You’ll Do
• Architect data warehouses and scalable ingestion pipelines.
• Build ETL/ELT workflows, transformations, and data models.
• Develop reliable, agent-ready datasets and interfaces.
• Enable self-service analytics and product performance reporting.
• Automate data validation, monitoring, and troubleshooting.
• Establish data quality, governance, and observability standards.
• Mentor engineers and lead technical architecture decisions.
🎯 What You’ll Bring
• Staff-level experience building production data platforms.
• Proven experience developing greenfield data infrastructure.
• Advanced SQL, Python, and data modeling expertise.
• Experience with Snowflake, BigQuery, Redshift, or Databricks.
• Knowledge of dbt, Airflow, Dagster, or equivalent technologies.
• Strong understanding of distributed processing and data orchestration.
• Experience with AI coding agents and workflow automation.
• Technical leadership and hands-on architectural expertise.
🚀 Ready to build data infrastructure that powers intelligent decisions? Apply today!
Application link: []
#Hiring #DataEngineering #DataArchitecture #DataWarehouse #ETL #Python #SQL #Databricks #Snowflake #RemoteJobs #TechJobs

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