Senior Data Engineer

Newrich Network Toronto, ON, Canada Full-time Remote USD $80,000 - $90,000 per year Posted 14 days ago Apply for this job Newrich Network is a globally-driven company that specializes in digital information delivery and solutions. Their development projects are integral to their operations, focusing on creating innovative platforms. The team is fully remote, and they're seeking a passionate Data Engineer for a vital role in their project portfolio, with potential for a full-time transition. In this role you can expect to have the responsibilities: Design and develop applications for data analysis and transformations within a Spark-based AWS setting. Assess and implement various data pipeline models and environments. Collaborate with product management and data research teams for ideation and production. Work closely with data architects and customer engineering teams for integration requirements. Develop and enhance data integrations within customer ecosystems. Build and maintain database pipeline architectures. Ensure data governance and security compliance. This Role Comes With The Following Benefits Stock options This Role Requires You To Have 4+ years experience in Data Engineering Excellent communication and interpersonal skills 3+ years experience with Apache Spark applications using Python or Scala Strong ETL architecture knowledge Proven SQL proficiency Experience in building and maintaining data processing integrations using AWS You Would Benefit From Having Bachelor’s degree in Computer Science or related field Experience with Docker or Kubernetes Experience in unit testing and continuous integration Visit newrich.com/careers for a comprehensive list of benefits.

The Senior Data Engineer will design and develop applications for data analysis and transformations within a Spark-based AWS setting. They will collaborate with product management and data research teams for ideation and production, ensuring data governance and security compliance.

Candidates must have 4+ years of experience in Data Engineering and strong communication skills. Proficiency in Apache Spark applications using Python or Scala, along with experience in building data processing integrations using AWS, is required.

• Stock Options

Identified from the job description. Confirm important requirements above.

• Data Engineering
• Apache Spark
• Python
• Scala
• ETL Architecture
• SQL
• AWS
• Docker
• Kubernetes
• Unit Testing
• Continuous Integration

Minimum education

Bachelor’s degree

Minimum experience

5+ years

Apply by

Aug 13, 2026