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AI Summary
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.
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
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.
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.
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