Senior Data Engineer - Remote

Overview

Kaseya is the leading provider of complete IT infrastructure and security management solutions for Managed Service Providers (MSPs) and internal IT organizations worldwide powered by AI. Kaseya’s best-in-breed technologies allow organizations to efficiently manage and secure IT to drive sustained business success. Kaseya has achieved sustained, strong double-digit growth over the past several years and is backed by Insight Venture Partners, a leading global private equity firm investing in high-growth technology and software companies that drive transformative change in the industries they serve.

Founded in 2000, Kaseya currently serves customers in over 20 countries across a wide variety of industries and manages over 15 million endpoints worldwide. To learn more about our company and our award-winning solutions, go to www.Kaseya.com and for more information on Kaseya’s culture, please click here: Kaseya Culture.

Kaseya is not your typical company. We are not afraid to tell you exactly who we are and our expectations. We have achieved record levels of success being BOLD, being GRITTY, being ACCOUNTABLE. The thousands of people that succeed at Kaseya are prepared to go above and beyond for the betterment of our customers, and the betterment of their careers and long-term financial wealth.

In Short

• Design and Develop ETL Pipelines: Create high-performance data ingestion and transformation processes, leveraging tools like Matillion, Airflow, or similar.
• Implement Data Lake and Warehouse Solutions: Develop and optimize data warehouses/lakes (Snowflake, Redshift, BigQuery, or Databricks), ensuring best-in-class performance.
• Optimize Query Performance: Continuously refine queries and storage strategies to support large volumes of data and multiple use cases.
• Ensure Data Governance & Security: Collaborate with the Data Governance team to ensure compliance with privacy regulations and corporate data policies.
• Troubleshoot Complex Data Issues: Investigate and resolve bottlenecks, data quality problems, and system performance challenges.
• Document Processes & Standards: Maintain clear documentation on data pipelines, schemas, and operational processes to facilitate knowledge sharing.
• Collaborate with Analytics Teams: Work with BI, Data Science, and Business Analyst teams to deliver timely, reliable, and enriched datasets for reporting and advanced analytics.
• Evaluate Emerging Technologies: Stay informed about the latest tools, frameworks, and methodologies, recommending improvements where applicable.

Requirements

• Bachelor’s degree (or equivalent) in Computer Science, Engineering, or related field.
• 2+ years of experience in data engineering or related role.
• Proficient in SQL and at least one programming language (Python, Scala, or Java).
• Hands-on experience with data integration/ETL tools (e.g., Matillion, Talend, Airflow).
• Familiarity with modern cloud data warehouses (Snowflake, Redshift, or BigQuery).
• Strong problem-solving skills and attention to detail.
• Excellent communication and team collaboration skills.
• Ability to work in a fast-paced, high-growth environment.

Benefits

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