Senior Data Engineer

Leading provider of IT infrastructure and security management solutions for Managed Service Providers (MSPs) and internal IT organizations worldwide powered by AI.
United States
Data
Senior Software Engineer
Remote
1,000 - 5,000 Employees
2+ years of experience
Enterprise SaaS · AI

Description For Senior Data Engineer

Kaseya, the leading provider of IT infrastructure and security management solutions, is seeking a Senior Data Engineer to join their data team. This role offers an exciting opportunity to work with cutting-edge data technologies in a fast-growing environment.

As a Senior Data Engineer, you'll be instrumental in designing and building scalable data pipelines, implementing data lake and warehouse solutions, and ensuring data quality and accessibility across the organization. You'll work with modern tools and technologies including ETL platforms, cloud data warehouses, and programming languages like Python and Java.

The ideal candidate will bring 2+ years of data engineering experience, strong technical skills in SQL and programming, and a proven track record of building robust data solutions. You'll collaborate with various teams including BI, Data Science, and Business Analytics to deliver high-quality data solutions that drive business decisions.

Kaseya offers a dynamic work environment with strong growth potential, backed by Insight Venture Partners. The company serves customers in over 20 countries and manages over 15 million endpoints worldwide. This role provides an excellent opportunity to make a significant impact in a company that values boldness, accountability, and excellence.

Join a company that's achieving record levels of success and is committed to the professional growth of its employees. This remote position offers the flexibility to work from anywhere in the US while being part of a global team that's transforming IT management.

Last updated an hour ago

Responsibilities For Senior Data Engineer

  • Design and Develop ETL Pipelines
  • Implement Data Lake and Warehouse Solutions
  • Optimize Query Performance
  • Ensure Data Governance & Security
  • Troubleshoot Complex Data Issues
  • Document Processes & Standards
  • Collaborate with Analytics Teams
  • Evaluate Emerging Technologies

Requirements For Senior Data Engineer

Python
Java
  • 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
  • Familiarity with modern cloud data warehouses
  • 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 For Senior Data Engineer

Visa Sponsorship
  • Visa Sponsorship available

Interested in this job?

Jobs Related To Kaseya Senior Data Engineer

Sr. Simulation Engineer- Material Flow Design, Innovation, Engineering & Sustainability

Senior Simulation Engineer role at Amazon focusing on material flow design and logistics optimization, combining advanced simulation engineering with sustainable infrastructure development.

Robotics Business Intelligence Engineer, Amazon Robotics (AR) Sortation

Senior data professional role combining BI, data engineering and analytics to improve Amazon's warehouse robotics systems

Sr. Data Engineer, Amazonian Experience and Technology, AtoZ Analytics and Science

Senior Data Engineer position at Amazon AtoZ, building and optimizing data pipelines and analytics infrastructure to support Amazon's internal tools and services.

Senior Business Intelligence Engineer

Senior Business Intelligence Engineer role at AWS Infrastructure Services focusing on supply chain analytics and business intelligence solutions.

Senior Software Engineer - Big Data

Senior Software Engineer position at Disney Entertainment focusing on big data engineering, building data products and services for experimentation and personalization at scale.