Remote Senior Software Engineer, Data and Streaming

Summary

Join the Data and Streaming team at Jobber as a Senior Software Engineer to build scalable data solutions, collaborate with teams, and mentor junior engineers. The role involves full lifecycle management of data-related features, real-time streaming systems, and data pipelines. You will work closely with cross-functional teams to determine optimal solutions for scaling, optimizing, and securing data systems.

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
• Experience optimizing database performance, partitioning large datasets, and ensuring data security (handling PII)

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
• Facilitate group discussions with stakeholders to design data architectures that align with business goals and technical requirements
• Research and advocate for emerging technologies and innovations in the data space, ensuring Jobber’s data ecosystem remains cutting-edge

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
• Expertise in implementing disaster recovery solutions for critical data systems

Benefits

• Extended health benefits package with fully paid premiums for both body and mind
• Retirement savings plan matching
• Stock options
• Support for all your breaks: from vacation to rest and recharge, your birthday off to celebrate, health days to support your physical and mental health, and parental leave top-ups to support your growing family