Data Engineer for Scalable Data Solutions

3 days ago

Old Toronto, Canada Jobber Full time
Senior Software Engineer - Data and Streaming Team

At Jobber, we're on a mission to help small businesses succeed. We believe in fostering a collaborative environment where teams make decisions autonomously and contribute directly to shaping the future of our company.

We're looking for a Senior Software Engineer to join our Data and Streaming team. As a key member of this team, you will be responsible for building scalable data solutions that support the Jobber application. This role is essential to enabling real-time data streaming, managing large-scale data infrastructure, and helping other teams with their data-related needs.

**Key Responsibilities:**

  • Be involved in the full lifecycle of data-related features, from ideation to delivery, ensuring reliability, scalability, and security.
  • Build and maintain real-time streaming systems, data pipelines, databases, and related infrastructure, ensuring performance and observability.
  • Provide data services and consultation to Stream-Aligned teams, assisting them with complex data problems and enabling them to focus on business needs.
  • Participate in code reviews and testing, driving best practices for data engineering and software development within the team.
  • Work closely with cross-functional teams to determine optimal solutions for scaling, optimizing, and securing data systems.
  • Mentor and coach junior engineers, sharing expertise in data systems, streaming frameworks, and data lifecycle management.

**Requirements:

  • Advanced knowledge of relational and NoSQL databases (e.g., Aurora Postgres, Elasticsearch).
  • Experience with real-time data streaming frameworks (Kafka, RabbitMQ, or similar).
  • Strong expertise in managing cloud-based data services (AWS S3, Redis).
  • Proficiency in DevOps practices related to data infrastructure, including observability, disaster recovery, and scaling.
  • Familiarity with background processing frameworks (Sidekiq, Active Jobs) and data lifecycle management.

**Preferred Qualifications:

  • Experience with scaling data pipelines and managing large-scale data systems.
  • Knowledge of database partitioning and optimizing search technologies.
  • Hands-on experience in cleaning up redundant data systems

**About the Role:

This is a challenging opportunity to grow professionally and contribute to the success of our Data and Streaming team. You will have the chance to work on complex data problems, collaborate with experienced engineers, and shape the future of our company's data ecosystem.

We offer a competitive salary range of $120,000 - $180,000 per year, depending on your level of experience and qualifications. Our team members also enjoy a comprehensive benefits package, including health insurance, retirement savings plan, and paid time off.

Join us at Jobber and become part of a dynamic team that is passionate about delivering innovative data solutions.

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