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Senior Data Engineer

Netomi AI creates artificial intelligence that builds customer love for global brands, backed by Y-Combinator and leading investors.
Canada
Data
Senior Software Engineer
Remote
8+ years of experience
AI · Enterprise SaaS

Job Description

Netomi AI, backed by prestigious investors including Y-Combinator, Index Ventures, and OpenAI's co-founder, is revolutionizing customer experience through AI. They're seeking a Senior Data Engineer to join their mission of building AI solutions for global brands. This role offers the opportunity to work with rich datasets and modern BI technology, implementing scalable data pipelines and infrastructure.

The position involves architecting data solutions using cutting-edge platforms like Spark, Databricks, and Snowflake, while collaborating with cross-functional teams to drive insights and product development. The ideal candidate will have 8+ years of experience, strong technical expertise in Python, SQL, and cloud platforms, and a passion for solving real-world problems with data.

Working remotely, you'll lead crucial data infrastructure projects, mentor junior engineers, and contribute to establishing best practices. The role combines technical leadership with hands-on development, offering exposure to machine learning pipelines and LLM-based systems. This is an excellent opportunity to shape the future of AI-driven customer experience while working with top-tier clients and building your professional network.

The company values innovation, creativity, and hard work, providing an environment where you can significantly impact the company's success while developing your career in AI. As part of an elite team of visionaries, you'll be at the forefront of the Generative AI revolution, working on mission-critical problems for some of the largest global brands.

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)
  • Collaborate with data scientists and engineers to design data models
  • Lead data infrastructure projects including cloud platforms management
  • 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