Senior Data Engineer

Full Timesenior

Toronto, OntarioPosted 21 days ago

Role Overview

Kaseya Careers is hiring a Senior Data Engineer. This is a full-time role in Toronto, Ontario. Part of Kaseya Careers's Security hiring, posted 3 weeks ago. Full responsibilities, required qualifications, and the apply link are listed in the description below.

Salary Context

Salary is not disclosed in this posting. Market median for Senior-level Security roles is $150k-$200k (based on 134 comparable listings). Many employers share specifics during the interview process or after an initial screen.

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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.

Senior Data Platform Engineer

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

Salary 170 - 250

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.

About Kaseya Careers

Kaseya Careers

kaseya.com

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Frequently Asked Questions

How do I apply for the Senior Data Engineer position at Kaseya Careers?

Use the Apply button above to submit your application directly to Kaseya Careers. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.

Where is the Senior Data Engineer position at Kaseya Careers located?

This position is based in Toronto, Ontario. Kaseya Careers has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.

What does a Senior Data Engineer at Kaseya Careers earn?

Kaseya Careers has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.

When was the Senior Data Engineer role at Kaseya Careers posted?

This role was posted on June 24, 2026 (21 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.

How much experience does the Senior Data Engineer role at Kaseya Careers require?

This is a senior-level position. Most senior roles call for 5+ years of directly relevant experience. Kaseya Careers lists their specific requirements in the description below, so review the must-have qualifications closely before applying.

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