

Inceed
Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with a contract length of "unknown." The pay rate is $55 - $60/hour, fully remote. Key skills include Databricks, Azure Data Factory, and experience in end-to-end data pipelines.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
480
-
ποΈ - Date
May 9, 2026
π - Duration
Unknown
-
ποΈ - Location
Remote
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
Kansas City, KS
-
π§ - Skills detailed
#Requirements Gathering #Data Pipeline #Microsoft Azure #Scala #"ETL (Extract #Transform #Load)" #Data Processing #Azure Data Factory #Migration #Data Engineering #Azure #Databricks #ADF (Azure Data Factory)
Role description
Position: Data Engineer
Compensation: $ 55 - $60 /hour, depending on experience
Location: Fully Remote
Inceed has partnered with a great company to help find a skilled Data Engineer to join their team!
Are you ready to take on a thrilling opportunity as a Data Engineer? Join a dynamic team with a focus on cutting-edge data solutions. This role offers the chance to work on exciting data modernization initiatives, leveraging the latest technologies in the Microsoft Azure ecosystem. If you're passionate about building scalable data pipelines and thrive in a fast-paced, distributed environment, this is the perfect role for you!
Key Responsibilities & Duties:
β’ Develop and maintain scalable data pipelines
β’ Utilize Databricks and Azure Data Factory for data processing
β’ Lead data modernization initiatives and migrations
β’ Collaborate on multiple concurrent projects
β’ Drive requirements gathering and unblock work
β’ Ensure high performance and scalability of data systems
Required Qualifications & Experience:
β’ Strong hands-on data engineering experience
β’ Proven experience with end-to-end data pipelines
β’ Expertise in Databricks and Azure Data Factory
β’ Experience in Azure-based modern data environments
β’ Proactive and solution-oriented mindset
Nice to Have Skills & Experience:
β’ Experience with data modernization projects
β’ Comfortable working in transformation environments
Perks & Benefits:
β’ 3 different medical health insurance plans, dental, and vision insurance
β’ Voluntary and Long-term disability insurance
β’ Paid time off, 401k, and holiday pay
β’ Weekly direct deposit or pay card deposit
If you are interested in learning more about the Data Engineer opportunity, please submit your resume for consideration. Our client is unable to provide sponsorship at this time.
We are Inceed, a staffing direct placement firm who believes in the possibility of something better. Our mission is simple: Weβre here to help every person, whether client, candidate, or employee, find and secure whatβs better for them.
Inceed is an equal opportunity employer. Inceed prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.
#IND
Position: Data Engineer
Compensation: $ 55 - $60 /hour, depending on experience
Location: Fully Remote
Inceed has partnered with a great company to help find a skilled Data Engineer to join their team!
Are you ready to take on a thrilling opportunity as a Data Engineer? Join a dynamic team with a focus on cutting-edge data solutions. This role offers the chance to work on exciting data modernization initiatives, leveraging the latest technologies in the Microsoft Azure ecosystem. If you're passionate about building scalable data pipelines and thrive in a fast-paced, distributed environment, this is the perfect role for you!
Key Responsibilities & Duties:
β’ Develop and maintain scalable data pipelines
β’ Utilize Databricks and Azure Data Factory for data processing
β’ Lead data modernization initiatives and migrations
β’ Collaborate on multiple concurrent projects
β’ Drive requirements gathering and unblock work
β’ Ensure high performance and scalability of data systems
Required Qualifications & Experience:
β’ Strong hands-on data engineering experience
β’ Proven experience with end-to-end data pipelines
β’ Expertise in Databricks and Azure Data Factory
β’ Experience in Azure-based modern data environments
β’ Proactive and solution-oriented mindset
Nice to Have Skills & Experience:
β’ Experience with data modernization projects
β’ Comfortable working in transformation environments
Perks & Benefits:
β’ 3 different medical health insurance plans, dental, and vision insurance
β’ Voluntary and Long-term disability insurance
β’ Paid time off, 401k, and holiday pay
β’ Weekly direct deposit or pay card deposit
If you are interested in learning more about the Data Engineer opportunity, please submit your resume for consideration. Our client is unable to provide sponsorship at this time.
We are Inceed, a staffing direct placement firm who believes in the possibility of something better. Our mission is simple: Weβre here to help every person, whether client, candidate, or employee, find and secure whatβs better for them.
Inceed is an equal opportunity employer. Inceed prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.
#IND





