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Tech Stack
Tools & technologiesAWSAzureCloudDistributed SystemsGoGoogle Cloud PlatformJavaKafkaPythonRust
About the role
Key responsibilities & impact- 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
Requirements
What you’ll need- 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.
Benefits
Comp & perks- 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.
ATS Keywords
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Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data pipelinesdata ingestiondata transformationdata enrichmentdata deliverydata qualitydata observabilitydata reliabilitydata processing systemsdistributed systems
Soft Skills
leadershipcommunicationcollaborationproblem-solvingtechnical discussionsdesign reviewsarchitecture decisions