Salary insights

Salary Data engineer in Singapore

Market pay levels based on 37 offers with salary.

Browse vacancies

Recalculated from open vacancies where the employer states pay.

Median8 611 $Half of offers pay more, half pay less
Average8 454 $Arithmetic mean of all offers
Lower quartile8 523 $25% of offers pay less
Upper quartile8 611 $25% of offers pay more

How pay is distributed

The band covers the middle half of the market (25th–75th percentile), the line marks the median.

Lower quartile8 523 $
Median8 611 $
Upper quartile8 611 $

What the numbers mean

  • Half of all offers fall between 8 523 $ and 8 611 $.
  • Every fourth offer pays more than 8 611 $.
  • The average is close to the median, so offers are spread evenly.
  • The estimate uses 37 vacancies with a stated salary.

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Check in one step whether your pay is above or below the market for this selection.

Vacancies with salary

All matching vacancies
NAS EDUCATION PTE. LTD. Singapore ·

Data Engineer

8 000 – 14 000 $

Role Overview We are looking for a Data Engineer to help build, maintain, and scale our data infrastructure. You will work closely with product, finance, growth, and leadership teams to ens…

Full time3–6 yearsOn-siteSingapore
LUMA AI (SG) PTE. LTD. Singapore ·

Data Engineer

9 000 – 14 000 $

Intro to the Role and Team We are expanding our Singapore Infrastructure & Data Systems Hub to power Luma's next-generation multimodal foundation models and Physical AI pipelines. As a Data…

Full time3–6 yearsOn-siteSingapore
ITCAN PTE. LIMITED Singapore ·

Data Engineer

8 000 – 13 000 $

Job responsibilities Deliver end-to-end data pipeline solutions on cloud infrastructure leveraging the latest technologies and the best industry practices Use domain modelling techniques to…

Full time3–6 yearsOn-siteSingapore
TROYTECH INTERNATIONAL CONSULTING PTE LTD Singapore ·

Data Engineer

7 000 – 12 500 $

Responsibilities- Good understanding of the budgeting & forecasting process. Quick learner and able to understand implemented system functionality. Perform impact analysis and resolve produ…

Contract3–6 yearsOn-siteSingapore
KAISHI PARTNERS PTE. LTD. Singapore ·

Data Engineer

7 000 – 12 000 $

We are currently working with a cutting edge research firm to seek a motivated Data Engineer to join their team in Singapore. You’ll be the architect and maintainer of the pipelines, data m…

Full timeEntry levelOn-siteSingapore
NSEARCH GLOBAL PTE. LTD. Singapore ·

Data Engineer

9 000 – 12 000 $

Our client, one of Asia-Pacific’s leading organizations is looking for: Data Engineer Responsibilities: Design, build, and operate production-grade data pipelines for data extraction, inges…

Contract1–3 yearsOn-siteSingapore

Frequently asked questions

Why show the median instead of the average?

The median (8 611 $) is the middle of the market: half of the offers pay more and half pay less. Unlike the average (8 454 $), it is not skewed by a handful of very high salaries.

What does the typical range mean?

From 8 523 $ to 8 611 $ is the middle half of all offers — the 25th to 75th percentile. A quarter of vacancies pay below 8 523 $ and a quarter above 8 611 $.

Where does the data come from?

From 37 open vacancies with a stated salary that Finder collects from public sources. Numbers are recalculated as the selection changes.

How do I tell whether I am paid fairly?

Compare your pay with the median and the quartiles: near 8 611 $ is the market level, above 8 611 $ is the strong quarter, below 8 523 $ is a reason to negotiate. Use the “Compare my salary” button on this page.

How we calculate salaries

Short methodology and the data behind these numbers.

  1. 1We collect offersOnly vacancies from open sources where the employer states pay are used.
  2. 2We normalise themA salary range is reduced to one comparable value per vacancy.
  3. 3We compute percentilesMedian, quartiles and the average are calculated from at least 5 offers; otherwise the wider country market is shown.
  4. 4We refresh the numbersStatistics are recomputed as new vacancies appear and closed ones drop out.

Figures are pay as published by employers: taxes, bonuses and seniority inside a grade are not accounted for.