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Data Quality Engineer



Data Science, Quality Assurance
Miami, FL, USA
Posted on Saturday, July 6, 2024

Kaseya® is the leading provider of complete IT infrastructure and security management solutions for Managed Service Providers (MSPs) and internal IT organizations worldwide. 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 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.

Data Quality Engineer

Miami, Florida

Kaseya is looking for an experienced data quality engineer to support end to end testing. The Data Quality Engineer is responsible for designing, developing, documenting and performing data quality checks across all data assets. That includes ETL jobs, reports, dashboards and data pipelines. The primary goal for this role is to ensure high quality of data delivered to internal stakeholders and customers. Validation of data in data repositories against data from source systems and validation of metrics and data in reports/dashboards against data in the repositories is a key responsibility. Principal responsibilities are to make data assets consistently accurate for users. This role will help to bring consistency to enterprise data and improve its availability and quality.

A Look Inside the Job:

  • Design, develop and maintain data quality assurance framework

Work in conjunction with Analysts and Data Engineers to ensure high quality Data Deliverables

  • Design and develop testing frameworks to test ETL jobs, reports and Dashboards and other data pipelines
  • Write SQL scripts to validate data in the data repositories against the data in the source systems
  • Track, monitor and document testing results
  • Write high-quality, well-structured code that is maintainable and extensible
  • Analyse complex data systems to develop automated and reusable solutions for extracting requested information while assuring data validity and integrity
  • Perform tasks spanning the full lifecycle of data management activities with minimal supervision
  • Promote and support the infrastructure of reporting, analytics, and data sourcing strategy; this includes developing and advancing standards and best practices and recommending infrastructure changes when appropriate
  • Maintain data standards, enforce standard development protocols, and analyse requirements to ensure technical and standard operating procedure impacts are considered
  • Develop and coordinate test plans. Communicate effectively to facilitate User Acceptance Testing

About You:

  • A bachelor's or master's degree in computer science, data science, information science or related field, or equivalent work experience
  • 2+ years of experience in writing complex SQL queries and stored procedures; Strong data management background who understands data, how to ingest data, proper data use/consumption, and data quality.
  • Experience with APIs, Integrations and automated testing to support deep functional, integration and performance testing
  • Understanding of ETL methodologies and Data Warehousing principles, approaches, technologies, and architectures including the concepts, designs, and usage of data warehouses and data marts
  • Ability to partner with the business and technical subject matter experts to ensure standardization
  • Experience writing automated test scripts
  • Experience working in an agile environment
  • Deep understanding of software development lifecycle
  • Independent, driven, creative with a desire to take ownership
  • Able to find improvement opportunities and execute with minimal direction

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

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.