Senior Data Engineer

Kaseya; Toronto; On-site; CAD 225,000 - 236,000; Full time

Job summary

Kaseya is seeking an experienced data platform engineer to design and operate scalable data systems in Toronto. You will build real-time and batch processing, implement event-driven pipelines, and ensure reliability for analytics and AI workloads across our products.

You will mentor engineers, participate in architecture reviews, and collaborate with Product, Infrastructure, Analytics, and Engineering teams to raise the bar on platform quality and performance.

Qualifications

• 6+ years of experience in Software/Data/Platform/Backend Engineering.
• Strong programming experience in Java, Go, Python, Rust, or similar languages.
• Experience designing and operating distributed systems in production.
• Experience building and supporting streaming or real-time data platforms.
• Experience with Kafka, Flink, Spark Streaming, Kinesis, Event Hubs, or similar technologies.
• Experience operating cloud-native systems on AWS, Azure, or GCP.
• Experience troubleshooting production issues and supporting critical systems.

Responsibilities

• Design and build real-time and batch data processing systems.
• Develop event-driven data pipelines using streaming technologies.
• Build scalable ingestion, transformation, enrichment, and delivery services.
• Design data platform components that support millions of events and large-scale analytical workloads.
• Improve reliability, observability, monitoring, and operational excellence across data systems.
• Participate in architecture reviews and technical design discussions.
• Own production systems, incident response, and operational improvements.
• Work closely with Product, Infrastructure, Analytics, and Engineering teams.
• Mentor engineers and contribute to engineering standards and best practices.

Skills

Software Engineering

Data Engineering

Distributed Systems

Streaming Platforms

Cloud (AWS/Azure/GCP)

Kafka / Flink / Spark

Tools

Terraform

CloudFormation

Pulumi

CI/CD

Job description

About Kaseya

Kaseya is the leading provider of AI-powered IT management and cybersecurity software, serving Managed Service Providers (MSPs) and internal IT organizations worldwide. Our comprehensive platform helps organizations efficiently manage, secure, and automate their IT environments, driving operational efficiency and long-term business success.

Backed by Insight Partners, a leading global software investor, Kaseya has experienced sustained double-digit growth and continues to expand its global footprint. Today, Kaseya supports customers in more than 20 countries and manages over 15 million endpoints worldwide.

Founded in 2000, Kaseya has built a culture centered around innovation, accountability, and results. We are a high-growth, high-performance organization that values individuals who are driven, adaptable, and committed to delivering exceptional outcomes for our customers and teammates alike.

At Kaseya, success comes from embracing challenges, moving with urgency, and continuously raising the bar.

Why Kaseya?

Kaseya powers millions of endpoints and thousands of customers worldwide. We are building the next generation of data platforms that power analytics, automation, AI, and customer-facing experiences across our products.

We're looking for engineers who enjoy solving distributed systems problems, building scalable platforms, and operating high-volume data infrastructure in production.

What You'll Do

This is not a traditional ETL-focused role.

You will build and operate the data platform that enables analytics, automation, AI workloads, and operational systems across Kaseya.

You will:

• Design and build real-time and batch data processing systems
• Develop event-driven data pipelines using streaming technologies
• Build scalable ingestion, transformation, enrichment, and delivery services
• Design data platform components that support millions of events and large-scale analytical workloads
• Improve reliability, observability, monitoring, and operational excellence across data systems
• Participate in architecture reviews and technical design discussions
• Own production systems, incident response, and operational improvements
• Work closely with Product, Infrastructure, Analytics, and Engineering teams
• Mentor engineers and contribute to engineering standards and best practices

What We're Looking For

Required

• 6+ years of experience in Software Engineering, Data Engineering, Platform Engineering, or Backend Engineering
• Strong programming experience in Java, Go, Python, Rust, Scala, or similar languages
• Experience designing and operating distributed systems in production
• Experience building and supporting streaming or real-time data platforms
• Experience with Kafka, Flink, Spark Streaming, Kinesis, Event Hubs, or similar technologies
• Experience operating cloud-native systems on AWS, Azure, or GCP
• Experience troubleshooting production issues and supporting critical systems

Strongly Preferred

• Experience designing event-driven architectures
• Experience with CDC, event sourcing, or asynchronous processing patterns
• Experience building low-latency data systems
• Experience with infrastructure-as-code (Terraform, CloudFormation, Pulumi)
• Experience implementing CI/CD pipelines and deployment automation
• Experience with observability, monitoring, alerting, and reliability engineering
• Experience designing platform-level frameworks used by multiple teams
• Experience with data lakehouse platforms, Snowflake, Databricks, or large-scale analytical systems

Bonus

• Experience supporting machine learning, AI, or LLM workloads
• Experience with vector databases, RAG systems, or AI infrastructure
• Experience mentoring engineers or leading technical initiatives

The expected base salary range for this position is CAD $225,000 to $236,000 per year. Where a candidate falls within this range depends on job-related factors such as experience, skills, and qualifications. This range reflects base salary only and does not include variable compensation or other components of the total package.

Additional information
Kaseya provides equal employment opportunity to all employees and applicants without regard to race, religion, age, ancestry, gender, sex, sexual orientation, national origin, citizenship status, physical or mental disability, veteran status, marital status, or any other characteristic protected by applicable law.