Senior Data Engineer

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 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.

Job Title:

Senior Data Engineer

Why Kaseya?

Join a fast-growing company that’s transforming the IT industry. At Kaseya, you’ll have the opportunity to work with cutting-edge technology, collaborate with a dynamic team, and develop your career in a highimpact role.

Join the Kaseya growth rocket ship and see how we are #ChangingLives!

Job Summary

We’re hiring a Senior Data Engineer to build and operate large-scale data platforms that power analytics, automation, and customer-facing experiences across Kaseya's products. This role focuses on designing real-time and batch data processing systems, improving platform scalability and reliability, and enabling data-driven decision making at scale. You’ll work closely with Product, Analytics, Platform, and Infrastructure teams to deliver high-performance data solutions that support critical business operations.

Roles & Responsibilities

Design and build real-time and batch data pipelines supporting high-volume data workloads

Develop scalable systems for data ingestion, transformation, enrichment, and delivery

Own the lifecycle of data pipelines, including development, testing, deployment, monitoring, and optimization

Improve data quality, observability, reliability, and operational performance across data platforms

Optimize data processing systems for scalability, latency, and cost efficiency

Partner with Analytics, Product, and Engineering teams to support reporting, automation, and downstream data consumption

Lead technical discussions, design reviews, and architecture decisions related to data platforms

Participate in production support and incident response for critical data systems

Required Qualifications

6+ years of experience in data engineering, software engineering, or backend engineering

Experience building and operating real-time or streaming data systems

Experience working with streaming technologies such as Kafka, Flink, or similar platforms

Experience developing distributed systems using Go, Java, Python, Rust, or similar languages

Experience working with cloud platforms such as AWS, Azure, or GCP

Preferred Qualifications

Experience with event-driven architectures or low-latency data processing systems

Experience with CDC, event sourcing, or microservices-based data pipelines

Experience with data warehouses, lakehouse architectures, or large-scale analytical platforms

Experience with infrastructure-as-code tools such as Terraform or CloudFormation

Experience implementing CI/CD practices for data platforms

Experience mentoring engineers or leading technical initiatives

Experience supporting machine learning, analytics, or AI-driven workloads

Additional Information

Additional Information