Data professionals with cloud data platform experience and a background in enterprise analytics will find this role in a fast-growing IT management company.
Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from Kaseya
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 was built by builders - and we're still building. We look for people who create rather than wait, who see a hard problem and lean in, and who treat challenges as raw material. At Kaseya, everyone plays a role in shaping the future of IT: whether you're in engineering, product, sales, marketing, customer support, or operations, your work helps protect, defend, and optimize IT environments across the globe.
We're building teams that grow, perform, and make an impact. If you're driven by the itch to make things better - a product, a process, a career - you'll fit right in.
At Kaseya, we don't just raise the bar. We build it.
Staff Data Engineer – Kaseya US LLC
Location: Miami, FL
Position Summary
Design, implement, and support enterprise cloud data platforms. Apply strong technical expertise to develop and maintain scalable, resilient, and secure distributed data solutions supporting enterprise reporting, finance, revenue operations and sales analytics, and strategic decision-making. Develop and implement orchestration frameworks using workflow orchestration tools (including Apache Airflow) and Python to enable automated data ingestion from enterprise systems (including Salesforce and NetSuite) through REST APIs and incremental load strategies. Implement enterprise data warehouse solutions on cloud data warehouse platforms (including Snowflake or equivalent) and develop semantic data models to support business intelligence and analytics.
Minimum Requirements / Qualifications
Bachelor's degree in Electrical Engineering, Computer Science, or related IT field of study (or foreign equivalent).
3 years of progressive, post-baccalaureate experience in Data Engineering, Data Analytics, Business Intelligence, or related roles.
3 years of experience building and maintaining distributed data processing systems.
3 years of experience developing semantic data models and curating data layers to support BI platforms (including Power BI, Tableau, Qlik, or similar tools).
3 years of experience supporting large-scale data integration, data processing, analytics, and BI reporting.
3 years of experience contributing to enterprise data modernization initiatives.
3 years of experience collaborating across all stages of the software development lifecycle using Agile methodologies.
3 years of experience providing technical guidance and mentorship to BI and data engineering teams.
3 years of experience with Snowflake, REST APIs, Apache Airflow, and Python.
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.
Source: Kaseya careers