Staff Data Engineer

Kaseya Careers • Miami, FL

10h • Onsite

About The Position

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 automate 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.

Requirements

• Bachelor's degree in Electrical Engineering, Computer Science, or a 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.

Responsibilities

• Design, implement, and support enterprise cloud data platforms.
• Develop and maintain scalable, resilient, and secure distributed data solutions.
• Develop and implement orchestration frameworks using workflow orchestration tools, including Apache Airflow, and Python.
• Automate data ingestion from enterprise systems, including Salesforce and NetSuite, using REST APIs and incremental load strategies.
• Implement enterprise data warehouse solutions on cloud data warehouse platforms, including Snowflake or equivalent.
• Develop semantic data models to support business intelligence and analytics.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior