S$61,402
Avg. Salary
Avg. Hourly Rate

Average additional compensation for this job:

Bonus

S$8,770

Profit Sharing

S$13,000

The average pay for a Data Engineer is {{pay}} per hour.

The average pay for a Data Engineer is S$61,402 per year.

$0
10%
$0
50%
$0
90%
MEDIAN $0
$36k
10%
$61k
50%
$100k
90%
MEDIAN $61,402
S$35,508 - S$99,919
S$36K
S$61K
S$100K
MEDIAN: S$61,402
10%
50%
90%
S$0S$101K
Salary S$35,508 - S$99,919
Bonus S$1,515 - S$19,747
Profit Sharing S$13,000
Total Pay (?
XTotal Pay combines base annual salary or hourly wage, bonuses, profit sharing, tips, commissions, overtime pay and other forms of cash earnings, as applicable for this job. It does not include equity (stock) compensation, cash value of retirement benefits, or the value of other non-cash benefits (e.g. healthcare).
)
S$35,508 - S$101,901
  • Country: Singapore
  • Currency: SGD
  • Updated: 18 Nov 2018
  • Individuals Reporting: 37

Job Description for Data Engineer

Data engineers typically work in an indoor office setting, and a college degree in computer science, engineering, or a related field is often a minimum requirement for this position. Computer skills, particularly with Linux systems, and three to five years of prior work experience may also be required, and applicants should have knowledge of algorithms, data structures, and performance optimism and experience with processing and interpreting data sets.

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Data Engineer Tasks

  • Develop technical solutions to improve access to data and data usage.
  • Understand data needs and advise company on technological resources.
  • Aggregate and analyze various data sets to provide actionable insight.
  • Develop reports, dashboards, and tools for business-users.

Data Engineer Job Listings

Pay Difference by Location

-9%

National Average: S$66,224

Larger city markers indicate a job is popular in that location.

Data Engineer Reviews

Q: What is it like working in Singapore?

Data Engineer in Singapore:
Pros:
Cons: crowded central business district area

Data Engineer in Singapore:
"Deep understanding of technologies."
Pros: Chance to solve real time problems and scalability issues.
Cons:

Key Stats for Data Engineer

Gender

Female
50 %
Male
50 %
Less than 1 year
3%
1-4 years
78%
5-9 years
19%

Gender

Female
50 %
Male
50 %

Common Health Benefits

medical benefits
Medical: 73%
dental benefits
Dental: 50%
vision benefits
Vision: 17%
no benefits
None: 20%