Data Integration Specialist (Contract-to-Hire Remote-US)
Quick answer
DataKind is hiring a remote Data Integration Specialist (Contract-to-Hire Remote-US) to unify data across university systems, paying $60–$67 per hour.
- Role
- Data Integration Specialist (Contract-to-Hire Remote-US)
- Organization
- DataKind
- Location
- Anywhere in the U.S.
- Work setup
- Remote
- Level
- Entry
- Compensation
- $60–$67 per hour
- Category
- Engineering & Technology
The role
DataKind is seeking a Data Integration Specialist (Contract-to-Hire Remote-US) to help unify data across multiple university systems as a key contributor to a major higher education initiative.
What you'll do
- Perform comprehensive data mapping and execute transformations
- Work with higher education system schemas and databases
- Review, prioritize, and analyze data columns
- Contribute to advanced data transformation processes
- Support data quality assurance efforts
- Collaborate with cross-functional teammates and external users
What it takes
- Deep alignment with DataKind's mission and values
- Experience with data architecture and governance
- Direct experience working with higher education data schemas and databases
- Strong understanding of data transformations and checks of data quality
- Proven ability to review and prioritize data columns
- Familiarity with SQL and Python
What you'll bring
How we treat you
Comprehensive wellness support, 401(k) plan with 5% employer matching, professional development funding, flexible work arrangements, and time off.
Frequently asked questions
Where is the job located?
The job can be based anywhere in the U.S., with the majority of working hours each day falling between 8am and 6pm Eastern Standard Time.
What is the compensation?
The compensation is $60–$67 per hour.
What are the key qualifications required?
Key qualifications include deep alignment with DataKind's mission, experience with data architecture and governance, and direct experience working with higher education data schemas and databases.
How do I apply?
You can apply now on the job posting page.
How to apply
Apply directly on DataKind's site. We link straight through — no resume parsing, no profile to fill out.
This listing is aggregated from a third-party source and its summary may be auto-generated, so details can be inaccurate or out of date. ForGood is not the employer and is not liable for the content — please verify everything on DataKind's official posting before applying.
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