Senior Data Engineer, Platform

Position Overview

• Location Type: Remote
• Employment Type: Full-time
• Salary: Not specified

Jobber is seeking a Senior Data Engineer to join our Data Platform team. Jobber is dedicated to transforming how small home service businesses operate through technology. Our commitment to transparency, inclusivity, collaboration, and innovation has earned us recognition from Great Place to Work, Canada’s Most Admired Corporate Cultures, and more. Jobber has also been featured on the Globe and Mail’s Canada’s Top Growing Companies list, and Deloitte Canada’s Technology Fast 50™, Enterprise Fast 15, and Technology Fast 500™ lists.

The Data Platform team is responsible for building and maintaining Jobber’s data infrastructure and systems. Our work drives improved operational outcomes, enhances workflow efficiencies, and generates critical business insights. We enable teams across the organization to effectively utilize data, tools, and technology to achieve their objectives. By researching, developing, and maintaining data systems, we provide essential operational and analytical support, ensuring our internal teams are well-equipped for success.

Requirements

• Experience with cloud infrastructure, with a preference for AWS.
• Proficiency in Python and SQL.
• Experience with data pipeline technologies such as Glue, Lambda, and ECS Fargate.
• Familiarity with data warehousing concepts and tools.
• Strong analytical and problem-solving skills.
• Ability to collaborate effectively with cross-functional teams.

Responsibilities

• Build Scalable Data Solutions: Design, develop, and maintain batch and real-time data pipelines within cloud infrastructure. Utilize Python, SQL, and AWS technologies to ensure efficient data operations. Build scripts, serverless applications, and automated workflows.
• Empower Internal Teams: Develop tools and frameworks to automate manual processes, establish alerting and monitoring systems, and assist teams in conducting data-driven experiments and analyzing results.
• Accelerate Business Growth: Collaborate with data analysts, scientists, and product teams to extract actionable insights from data. Employ tools like Airflow and dbt to streamline ETL/ELT pipelines.
• Strategic Planning and Innovation: Lead initiatives to research and propose new technologies and tooling for our data stack, focusing on performance and scalability.
• Data Integrity: Take ownership of data integrity and maintain a high level of trust across the organization.

Application Instructions

• Not specified.

Company Information

• Mission: Jobber exists to help people in small businesses be successful.
• Accolades: Recognized by Great Place to Work, Canada’s Most Admired Corporate Cultures, and more. Named on the Globe and Mail’s Canada’s Top Growing Companies list, and Deloitte Canada’s Technology Fast 50™, Enterprise Fast 15, and Technology Fast 500™ lists.
• Support: Offers onboarding resources, tutorials, hackathons, and buddy support.
• Culture: Leaders at Jobber work with empathy and support employees to build healthy work-life harmony.