The big central store where a company's data gets organized for analysis gets built and maintained by you, designing the pipelines and structures that make reporting possible. Where scattered data becomes one source of truth.
The work means designing data models, building pipelines that load and transform data, and keeping the warehouse fast and reliable. You work with analysts and engineers, mostly in code and SQL. A lot of the job is the plumbing, moving and cleaning data at scale, and a broken pipeline breaks everyone's reports downstream.
What surprises people is how messy the source data is: every system has its quirks, and you reconcile them. Tooling churns, requirements shift, and a quiet data error can mislead a whole company before anyone notices. Scope ranges from a small warehouse to a sprawling platform.
It fits someone methodical, patient, and comfortable in the data weeds. If you want flashy product work or quick wins, the back-end focus can feel invisible. But if you like building the foundation that analysis runs on, and the satisfaction of clean, trustworthy data, the work tends to be quietly rewarding.
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Where this role sits in the broader career landscape — and where it can take you.
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Roles like this one sit within a broader occupational category. The numbers below reflect that full landscape — helpful for context, but your specific experience will depend on level, specialty, and where you work.
Roles with similar work and overlapping career paths
View all Engineering roles →The big central store where a company's data gets organized for analysis gets built and maintained by you, designing the pipelines and structures that make reporting possible. Where scattered data becomes one source of truth.
Median pay for a Data Warehouse Engineer 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 Critical Thinking, Reading Comprehension, Programming, Complex Problem Solving, and Active Listening.
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 Engineering Director, Data Analyst, and Automatic Data Processing Planner (ADP Planner).
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