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Maria Lapko
Global Partnership Manager

Only 3 Steps to Hire Data Factory Developer

1
Talk to Our Data Factory Talent Expert
Our journey starts with a 30-min discovery call to explore your project challenges, technical needs and team diversity.
2
Meet Carefully Matched Data Factory Talents
Within 1-3 days, we’ll share profiles and connect you with the right Data Factory talents for your project. Schedule a call to meet engineers in person.
3
Validate Your Choice
Bring new Data Factory expert on board with a trial period to confirm you hire the right one. There are no termination fees or hidden costs.

Welcome on Upstaff: The best site to hire Data Factory Developer

Yaroslav Kuntsevych
Upstaff.com was launched in 2019, addressing software service companies, startups and ISVs, increasingly varying and evolving needs for qualified software engineers

Yaroslav Kuntsevych

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Hire Dedicated Data Factory Developer Trusted by People
5.0
Based on 9 reviews
google
Henry Akwerigbe August 30, 2023
google
Yuliana Zaichenko June 16, 2024
google
Roman Masniuk August 25, 2023
google
Vitalii Stalynskyi August 29, 2023
google
Volodymyr August 11, 2023

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FAQs on Data Factory Development

What is a Data Factory Developer? Arrow

A Data Factory Developer is a specialist in the Data Factory framework/language, focusing on developing applications or systems that require expertise in this particular technology.

Why should I hire a Data Factory Developer through Upstaff.com? Arrow

Hiring through Upstaff.com gives you access to a curated pool of pre-screened Data Factory Developers, ensuring you find the right talent quickly and efficiently.

How do I know if a Data Factory Developer is right for my project? Arrow

If your project involves developing applications or systems that rely heavily on Data Factory, then hiring a Data Factory Developer would be essential.

How does the hiring process work on Upstaff.com? Arrow

Post Your Job: Provide details about your project.
Review Candidates: Access profiles of qualified Data Factory Developers.
Interview: Evaluate candidates through interviews.
Hire: Choose the best fit for your project.

What is the cost of hiring a Data Factory Developer? Arrow

The cost depends on factors like experience and project scope, but Upstaff.com offers competitive rates and flexible pricing options.

Can I hire Data Factory Developers on a part-time or project-based basis? Arrow

Yes, Upstaff.com allows you to hire Data Factory Developers on both a part-time and project-based basis, depending on your needs.

What are the qualifications of Data Factory Developers on Upstaff.com? Arrow

All developers undergo a strict vetting process to ensure they meet our high standards of expertise and professionalism.

How do I manage a Data Factory Developer once hired? Arrow

Upstaff.com offers tools and resources to help you manage your developer effectively, including communication platforms and project tracking tools.

What support does Upstaff.com offer during the hiring process? Arrow

Upstaff.com provides ongoing support, including help with onboarding, and expert advice to ensure you make the right hire.

Can I replace a Data Factory Developer if they are not meeting expectations? Arrow

Yes, Upstaff.com allows you to replace a developer if they are not meeting your expectations, ensuring you get the right fit for your project.

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Table of Contents

How and where is Data Factory used?

How and where
  • Real-time Data Processing: Monitoring sensor data
  • Big Data Analytics: Analyzing customer behavior
  • Data Warehousing: Storing historical data
  • Data Migration: Moving data to the cloud
  • Data Transformation: Converting file formats

Compare Junior, Middle, Senior, and Expert/Team Lead Data Factory Developer roles

Seniority NameYears of experienceResponsibilities and activitiesAverage salary (USD/year)
Junior0-2 years
  • Assist in data pipeline development
  • Basic troubleshooting
  • Support data transformations
$60,000
Middle3-5 years
  • Develop data pipelines
  • Implement data quality checks
  • Collaborate with stakeholders
$80,000
Senior6-8 years
  • Lead data pipeline architecture design
  • Optimize data processing
  • Mentor junior developers
$100,000
Expert/Team Lead9+ years
  • Define data strategy
  • Oversee team projects
  • Drive innovation
$120,000

Quick Facts about Data Factory.

Facts about
  • Created in 2015 by Microsoft as a cloud-based data integration service.
  • Most popularly used for ETL (Extract, Transform, Load) and data warehousing projects.
  • Entry threshold requires basic knowledge of SQL and data integration concepts.
  • Azure Data Factory is often used alongside Azure Databricks for big data processing.
  • Fun Fact: The largest data pipeline ever built using Data Factory processed over 30 petabytes of data!

TOP Data Factory Related Technologies

Related Technologies
  1. Azure Data Factory
  2. Python (Ex: Guido, 1991)
  3. Snowflake
  4. Apache Spark (Ex: Matei, 2009)
  5. Databricks

What are top Data Factory instruments and tools?

Instruments and tools
  • Azure Data Factory: Microsoft’s data integration service
  • Talend Data Fabric: Data integration and integrity tool
  • Informatica PowerCenter: ETL tool by Informatica
  • Matillion ETL: Cloud-native ETL tool
  • Apache Nifi: Data automation tool by Apache

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Talk to Our Talent Expert

Our journey starts with a 30-min discovery call to explore your project challenges, technical needs and team diversity.
Manager
Maria Lapko
Global Partnership Manager