Data living in separate systems has to flow together cleanly, and you make it happen: building the pipelines and mappings that connect sources into one usable whole. The plumbing that lets systems share data.
Work is building and maintaining integrations: mapping fields, moving and transforming data between systems, and keeping the pipelines running, mostly at a screen with technical and business teams. Reconciling systems that disagree is the craft, since a broken integration blocks everyone downstream, and a lot of the job is wrangling messy, mismatched data.
What surprises people is how much is debugging mismatches, not building new: data is messy, formats differ, and edge cases hide. Tools and platforms keep changing, requirements shift, and the work is invisible until a pipeline breaks. Scope varies from one-off integrations to enterprise data platforms.
It fits someone methodical, patient, and comfortable with messy data. If you want creative work or clean problems, the wrangling can frustrate. But if there's satisfaction in making systems share data reliably, and untangling why they won't, the role tends to reward it, integration after integration.
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View all Technology roles →Data living in separate systems has to flow together cleanly, and you make it happen: building the pipelines and mappings that connect sources into one usable whole. The plumbing that lets systems share data.
Median pay for a Data Integration Specialist is about $136K nationally, with the field ranging roughly from $82K to $210K depending on experience, employer, and metro (BLS).
Core skills for this role include Complex Problem Solving, Reading Comprehension, Judgment and Decision Making, Critical Thinking, and Systems Analysis.
Most people in this role hold a bachelor's degree.
Employment in this field is projected to grow about 8.7% through 2034, with roughly 64,770 people working in it today (BLS).
Closely related roles include Data Operations Director, Data Center Product Director, and Clinical Data Management Director (CDM Director).
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