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Staff Data Engineer

Kaseya Careers

Miami, FLJobPosted 1 day agoStill listed today

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At a glance

Compensation
No compensation found
Location
Miami, FL
Work Authorization
Not specified

Olive focuses on jobs in the United States, including remote roles you can work from there.

Requirements

Credentials this posting asks for.

Bachelor's degree, required

Job overview

Kaseya seeks a Staff Data Engineer to design, implement, and support enterprise cloud data platforms. The role develops scalable, resilient, and secure distributed data solutions for reporting, finance, revenue operations, sales analytics, and strategic decision-making. It also builds orchestration frameworks for automated enterprise-system ingestion and implements cloud data warehouse solutions and semantic data models for business intelligence and analytics.

Skills & qualifications

RequiredNice to have

Skills

Distributed Data Processing, requiredSemantic Data Modeling, requiredData Curation, requiredPower BI, requiredTableau, requiredQlik, requiredData Integration, requiredData Processing, requiredAnalytics, requiredBI Reporting, requiredData Modernization, requiredAgile Methodologies, requiredTechnical Guidance, requiredMentorship, requiredSnowflake, requiredREST APIs, requiredApache Airflow, requiredPython, required

Qualifications

Bachelor's in Electrical Engineering, Computer Science, or Related IT Field, required3+ Years Data Engineering or Related Experience, required3+ Years Distributed Data Processing, required3+ Years Semantic Data Modeling, required3+ Years Data Integration and Analytics, required3+ Years Data Modernization, required3+ Years Agile SDLC Collaboration, required3+ Years Technical Guidance and Mentorship, required3+ Years Snowflake, REST APIs, Airflow, and Python, required

Full job description

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

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Bachelor's degree in Electrical Engineering, Computer Science, or related IT field of study (or foreign equivalent).

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3 years of progressive, post-baccalaureate experience in Data Engineering, Data Analytics, Business Intelligence, or related roles.

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3 years of experience building and maintaining distributed data processing systems.

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3 years of experience developing semantic data models and curating data layers to support BI platforms (including Power BI, Tableau, Qlik, or similar tools).

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3 years of experience supporting large-scale data integration, data processing, analytics, and BI reporting.

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3 years of experience contributing to enterprise data modernization initiatives.

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3 years of experience collaborating across all stages of the software development lifecycle using Agile methodologies.

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3 years of experience providing technical guidance and mentorship to BI and data engineering teams.

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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.

How this job compares

Set against the 2,940 open Data Engineering jobs on Olive Jobs, counted November 13, 2026.

Pay
  • This postingNot listed
  • Florida median$104–204K/yr90 salary ranges
  • US median$47–55/hr101 hourly ranges
Openings
Olive Jobs lists 116 open Data Engineering jobs in Florida and 2,940 across the US. 8% of them nationwide are listed as remote or flexible.
Hiring the most in Florida
Experience
This posting asks for at least 3 years of experience — less than three in four Data Engineering postings that state a minimum ask for (median 5 years, across 2,573 postings).
Education
This posting asks for a bachelor's degree; 1,093 of the 2,940 open Data Engineering jobs (37%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 13, 2026. Figures based on too few postings are left out.

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