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Senior Data Engineer

AI company creating artificial intelligence solutions that builds customer love for global brands, backed by Y-Combinator and Index Ventures.
Canada
Data
Senior Software Engineer
Remote
101 - 500 Employees
8+ years of experience
AI · Enterprise SaaS

Job Description

Netomi AI is a cutting-edge artificial intelligence company focused on building customer experience solutions for global brands. Backed by prestigious investors including Y-Combinator, Index Ventures, and notable figures like Jeffrey Katzenberg and Greg Brockman, Netomi is at the forefront of the Generative AI revolution.

As a Senior Data Engineer at Netomi, you'll be instrumental in architecting and implementing scalable data solutions that power AI-driven customer experiences. You'll work with modern data platforms including Spark, Databricks, and Snowflake, while handling complex data pipelines and ETL processes. The role offers the opportunity to work with rich datasets and contribute to the development of cutting-edge AI solutions.

The position requires a strong technical background with 8+ years of experience, combining expertise in data engineering, cloud platforms, and distributed systems. You'll collaborate with data scientists and analysts, lead infrastructure projects, and have the chance to mentor junior engineers. The role offers the perfect blend of technical challenge and leadership opportunity in a fast-growing AI company.

Working remotely, you'll join a dynamic team that values innovation and creativity, with the chance to significantly impact the company's success while developing your career in AI. The position offers exposure to top-tier clients and the opportunity to build your professional network while working with leading-edge technologies in the AI space.

Last updated 5 months ago

Responsibilities For Senior Data Engineer

  • Architect and implement scalable data pipelines using modern data platforms
  • Develop ETL/ELT processes to ingest data from various sources
  • Perform Exploratory Data Analysis (EDA)
  • Design data models with data scientists and analysts
  • Lead data infrastructure projects on cloud platforms
  • Ensure data governance, security, and compliance
  • Monitor and optimize data systems performance
  • Mentor junior data engineers
  • Stay current with emerging technologies

Requirements For Senior Data Engineer

Python
Kubernetes
  • Bachelor's or Master's degree in Computer Science, Engineering, or related field
  • 8+ years of hands-on experience in data engineering or backend software development
  • Proficiency with Python, SQL, and data pipeline orchestration tools
  • Strong experience with cloud-based data platforms
  • Deep understanding of data modeling, data warehousing, and distributed systems
  • Experience with big data technologies
  • Familiarity with DevOps practices