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 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.