Senior Data Engineer

Kaseya Careers

19d

About The Position

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.

Requirements

• 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

Nice To Haves

• 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

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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed