Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,239 postings in the last year. Stated ranges, not salaries paid.
Staff Data Engineer
- Pay
- Pay not listedSimilar roles state $127K–$190K
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingDesign, implement, and support enterprise cloud data platforms.
Bachelor's degree in Electrical Engineering, Computer Science, or related IT field of study (or foreign equivalent).
Build orchestration frameworks in Airflow and Python for automated data ingestion
Ingest data from Salesforce and NetSuite via REST APIs with incremental loads
Implement enterprise data warehouse solutions on Snowflake or equivalent
Develop semantic data models to support BI and analytics
From the employer’s posting
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.
Bachelor's degree in Electrical Engineering, Computer Science, or related IT field of study (or foreign equivalent).
Develop and implement orchestration frameworks using workflow orchestration tools (including Apache Airflow) and Python
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)
develop semantic data models to support business intelligence and analytics
Education & alternatives
- Bachelor's degree in Electrical Engineering, Computer Science, or related IT field of study (or foreign equivalent). -
About Kaseya Careers
Kaseya is the leading provider of AI-powered IT management and cybersecurity software, serving Managed Service Providers (MSPs) and internal IT organizations worldwide.
In the employer’s words · Read in context
Posting record
Report an errorActively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 12, 20262 days ago
- Recorded sightings
- 4
- Last seen by us
- Nov 15, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 2
Early. Similar jobs usually come down between day 6 and day 56.
At Kaseya Careers, jobs usually come down by about day 38.
From 13,745 similar postings that came down, and 16 of Kaseya Careers’s. Coming down is not always a hire.
Kaseya Careers is hiring
3 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring is picking up
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- Power BI
- Qlik
- Snowflake
- Tableau
- Airflow
Where the posting names them
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
- 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.
- 3 years of experience developing semantic data models and curating data layers to support BI platforms (including Power BI, Tableau, Qlik, or similar tools). -
Your next step
Complete your application on www.kaseya.com. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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
-
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 details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Miami, FL
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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.