Senior Data Engineer

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

Description For Senior Data Engineer

Netomi AI is at the forefront of creating artificial intelligence solutions that enhance customer experience for global brands. Backed by prestigious investors including Y-Combinator, Index Ventures, and notable figures like Jeffrey Katzenberg and Greg Brockman, the company is making significant strides in the AI industry.

As a Senior Data Engineer, you'll be integral to building and maintaining the data infrastructure that powers their AI solutions. You'll work with cutting-edge technologies and platforms, including Spark, Databricks, Airflow, and Snowflake, to create scalable and reliable data pipelines. The role offers the opportunity to work with rich datasets and modern business intelligence technology, where your insights will directly influence product features.

The position requires a strong technical background with 8+ years of experience, combining expertise in data engineering with cloud platforms and big data technologies. You'll collaborate with cross-functional teams, lead infrastructure projects, and have the chance to mentor junior engineers while establishing best practices.

Working at Netomi AI means joining an elite group of visionaries shaping the future of AI in customer experience. The company values innovation, creativity, and hard work, offering a remote work environment where you can make significant impacts while growing your career in AI. This is an excellent opportunity for someone looking to be part of the Generative AI revolution while working with top-tier clients and building their professional network.

Last updated 7 hours 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

Interested in this job?

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