Data Pipeline & Integration Cost Calculator
Purpose of this calculator
Building in-house data integrations and pipelines can be very expensive. We built this quick calculator to help you estimate the cost of building your own data engineering requirements in-house.
Custom adjustments
You can change the assumptions to see how the cost of building your in-house integrations and data pipelines changes.
Software engineer annual salary
Data engineer annual salary
Estimated future number of integrations to build
Number of existing integrations
$115,961.54
Your estimated cost of building your integrations in-house
With an expected recurring annual maintenance cost of $112,500.00.
Note: Your estimated cost is calculated based on some assumptions highlighted below. Your exact cost of building integrations may differ depending on internal and external factors. This also does not take into account any existing costs you are already incurring.
Integration build hours
Software engineer: 200 hours
Data engineer: 200 hours
Integration maintenance hours (annually)
Software engineer (including API maintenance and upgrades): 80 hours
Data engineer (including pipeline updates and new visualizations): 120 hours
Compensation considerations
Salary growth rate: 4%
Employee total compensation multiplier (taxes & benefits): 1.4
Other assumptions
This calculator assumes 1 software engineer and 1 data engineer per integration project. It does not account for the feasibility of building the inputted number of integrations in a calendar year. This calculator also assumes an average API partner fee of $5K per year.