Aaron builds streaming and batch data infrastructure end-to-end. He has shipped Kafka and Flink pipelines processing billions of events daily for e-commerce platforms.
Aaron Tay
Dedicated Data Engineer · 11+ Years
Working remotely at a US AI
Your warehouse bill keeps rising and nobody can explain which queries cause it. Data engineers in Singapore tune Snowflake and Spark costs, add governance, and prepare data the AI agents at your US company can query safely.
24 Hours
to get matched
50-70 %
payroll savings
92 %
talent retention rate
4.9
avg client rating
200 +
teams building with us
Results our clients achieved.

$200K
saved in hiring costs
A social polling platform that needed two senior engineers in place within weeks of launch.

$27M
Series A raised
An industrial AI company that filled three briefs from one pipeline, then raised a $27M Series A.

8
engineers hired
The freight company behind the internet's first load board, adding capacity outside the US.

14
developers hired
A global real-estate coaching company that built its first engineering function from zero.

70%
productivity boost
A Web3 education platform that hired ten engineers to accelerate its product roadmap.

$1.5B
acquisition outcome
A machine-learning car marketplace that grew its Taiwan team and was acquired by Carro.

70%
labor cost saved
A luxury jewelry retailer with 870 stores across Asia, staffing its e-commerce push.

70%
efficiency gain
A digital health platform that moved delivery to Vietnam and Malaysia without slowing down.

50%
productivity uplift
A Bitcoin restaking platform that added frontend and design capacity as it scaled.

3
role types staffed
A luxury retail group in Asia that stood up a Vietnam tech team in two months.

3 days
to first SDR hire
An omnichannel chat platform that built its lead generation team out of Indonesia.

2 mo
hiring time saved
A blockchain wellness platform that hired the lead engineer anchoring its offshore team.
Hire in 3 steps, not 3 months.
Share what to ship, automate, or scale. Plus stack, budget, and timezone overlap.
6–8 pre-vetted Data Engineers fluent in Claude Code and modern AI stacks. Interview the ones you like.
We handle contracts, payroll, and equipment. Your Data Engineer ships real output within the first week.
Vetted on agentic workflows and matched to your stack before you see a résumé.
Aaron builds streaming and batch data infrastructure end-to-end. He has shipped Kafka and Flink pipelines processing billions of events daily for e-commerce platforms.
Dedicated Data Engineer · 11+ Years
Working remotely at a US AI
Ravi is a senior data engineer specializing in data modeling and warehouse performance. He has enabled product teams to make faster, data-driven decisions at SaaS startups.
Dedicated Data Engineer · 8+ Years
Working remotely at a US AI
Ryan is a data engineer focused on Snowflake, BigQuery, and modern data-stack patterns. He has migrated legacy warehouses to cloud-native, dbt-driven setups.
Dedicated Data Engineer · 8+ Years
Working remotely at an EU Fintech
Priya ships production data pipelines end-to-end with strong Airflow, dbt, and Spark experience. She has built real-time and batch systems for fintech and ad-tech clients.
Dedicated Data Engineer · 6+ Years
Working remotely at an AU AI
Vetted talent, lower costs, a clear process.
No office overhead, no traditional employee expenses.
Solves complex problems with 5x productivity.
4-6 hours of overlap to stay aligned.
Verified tests & interviews, and background checks.
Feedback from teams who hired through us.
Thanks to Second Talent, Open Campus quickly built a skilled tech team of 10 within two months, boosting productivity by 70% and accelerating our Web3 platform's development.
This success has strengthened our role in decentralized education and fueled our market expansion, highlighting our leadership in Web3 innovation.
Jonah L.
Head of Portfolio (raised US$100m)
Second Talent helped Beyond Cars (acquired by Carro) swiftly build a top-tier tech team in just a month, accelerating our platform's development and boosting productivity.
This success allowed us to expand into new markets, ultimately leading to our acquisition by a major automotive e-commerce company.
Garry Y.
Co-Founder (acquired by Carro)
Partnering with Second Talent has been a game-changer for our tech expansion.
Their ability to source top-tier talent from Vietnam helped us scale rapidly while maintaining quality. Their pre-vetted candidates integrated seamlessly, and their account management ensured smooth onboarding.
Tom F.
Co-founder (#1 US Real Estate Coach)
Second Talent played a key role in our tech expansion, quickly providing high-quality frontend talent that integrated seamlessly into our projects.
Their pre-vetted candidates, smooth onboarding process, and excellent support helped us build a strong, cost-effective team that drives our success.
Marco A.
Co-founder & CTO
Second Talent built our team of pre-vetted engineers who made our hiring decisions straightforward.
Once onboarded, our tech team saw a significant boost in productivity and development speed. Their excellent account management and responsive customer service also ensured smooth handling of all post-onboarding HR matters.
Jack N.
Director of IT (10,000+ employees)
Second Talent helped us rapidly scale by sourcing top-quality SDR talent from Indonesia.
Their pre-screened candidates fit perfectly, and their smooth onboarding and support built a strong, cost-effective team that helped to test and experiment sales with another market.
Leo W.
Co-founder (raised US$5m)
Wherever your team sits, hire remote Data Engineers in Singapore through Second Talent, with dedicated pre-vetted talent and compliant employment handled for you.
Most US clients hiring Data Engineers in Singapore start with one engineer and scale to a 3–5 person team within the first quarter.
European teams hiring Data Engineers in Singapore typically replace 3–4 senior open roles with one Second Talent engagement.
Australian teams hiring Data Engineers in Singapore get the closest time-zone alignment of any offshore destination.
TL;DR: Data engineers in Singapore earn $14,210 to $25,260+ a month working for international clients on our rate card, the highest floor of the four markets compared, and we shortlist 6-8 candidates within 24 hours. The closest US benchmark, the BLS median for data scientists, was $120,230 a year in May 2025.
Under Singapore's Personal Data Protection Act, a breach that affects 500 or more individuals is notifiable, and the organisation has 3 calendar days from its assessment to tell the regulator. A data engineer in Singapore works under a law where a deduplicated row count starts a legal clock.
Key takeaways
Singapore and Hong Kong sit in a band of their own for this role, each opening above $14,000 a month, while the Malaysia and Vietnam cards open below $4,500. The figures are what data engineers in each market earn working directly for foreign companies, before any employer or platform costs.
| Market | Monthly pay working for international clients (USD) |
|---|---|
| Singapore | $14,210-$25,260+ |
| Vietnam | $3,480-$6,960+ |
| Malaysia | $4,420-$8,600+ |
| Hong Kong | $14,030-$25,500+ |

Monthly ranges from the Remote (Working for International Clients) figures on our rate cards for Singapore, Vietnam, Malaysia and Hong Kong, converted at ExchangeRate-API mid-market rates for 14 September 2026.
The Singapore card quotes S$18,000 to S$32,000+ a month, converted at S$1.267 to the dollar. Its floor also sits above the monthly BLS median for US data scientists in the next section, which makes Singapore a market for a senior owner of a platform, not for pipeline volume. For a team that needs both, our Malaysia data engineer page covers the neighbouring pool.
Through Second Talent you pay one monthly fee that bundles salary, payroll taxes, statutory contributions and our service fee, quoted per role and market. Our pricing page explains the monthly subscription, and our data engineer cost-to-hire page sets out US freelance rates for the contract route.
BLS publishes no data engineer occupation, so we benchmark against Data Scientists (SOC 15-2051), the occupation that works on the models and analyses a data engineer's pipelines feed.
| BLS OEWS, May 2025, national | Data Scientists (15-2051) |
|---|---|
| Median annual | $120,230 |
| 10th percentile, monthly | $5,600 |
| Median, monthly | $10,020 |
| 90th percentile, monthly | $16,590 |
Monthly figures are the annual wages on the OEWS profile for 15-2051 divided by 12, rounded to the nearest $10.
Read the 90th percentile column for a Singapore hire. US employers pay the top of that range for a senior engineer who designs a streaming platform alone.
Salary is only part of the US cost. In the BLS Employer Costs for Employee Compensation release for June 2026, wages and salaries made up 68.5% of employer compensation costs for full-time private industry workers, and benefits the other 31.5%.
A batch your team starts at 6 pm Pacific lands at 9 am in Singapore while daylight time lasts. An engineer there can check the load and fix a failed partition before San Francisco wakes.
Singapore keeps UTC+8 all year with no daylight saving, and US clocks stay on daylight time from 8 March to 1 November 2026, per NIST.
The arithmetic: 9:00 am in New York under EDT (UTC-4) is 13:00 UTC, which is 9:00 pm in Singapore. Under EST (UTC-5) it is 10:00 pm. Chicago lands an hour later and San Francisco three hours later, at midnight in September.
| Singapore shift (UTC+8) | ET overlap (EDT / EST) | CT overlap (CDT / CST) | PT overlap (PDT / PST) | Hours between 10 pm and 6 am |
|---|---|---|---|---|
| 9 am-6 pm | 0 / 0 | 0 / 0 | 0 / 0 | 0 |
| 6 am-3 pm | 0 / 0 | 0 / 1 | 2 / 3 | 0 |
| 3 pm-12 am | 3 / 2 | 2 / 1 | 0 / 0 | 2 |
| 5 pm-2 am | 5 / 4 | 4 / 3 | 2 / 1 | 4 |
Each shift is nine clock hours with a meal break, counted against a 9 am to 5 pm US day. The 6 am row suits a West Coast analytics team: two live hours in September and three after the clocks change, with no night work. The 5 pm row gives a New York team five hours in summer.
Singapore law leaves most of this to the contract. Part 4 of the Employment Act, which regulates hours, rest days and overtime, covers a non-workman only up to a basic monthly salary of S$2,600. A data engineer on the Singapore card earns far above that line. We agree the shift before the offer, which is how our placements get 4-6 hours of daily overlap with US hours.

Singapore adds two legal tests to the usual platform screen: breach scoping under the PDPA and the end of NRIC-based authentication. Version changes in Spark, Kafka and Airflow make up the other three, since each changes how existing pipelines behave after an upgrade.
Section 26B of the Personal Data Protection Act 2012 makes a breach notifiable if it causes, or is likely to cause, significant harm, or if it is of significant scale. The Notification of Data Breaches Regulations 2021 set that scale at 500 affected individuals.
A leaked name or ID number combined with prescribed data counts as significant harm, and so does an account identifier leaked with its password. Section 26D then gives the organisation 3 calendar days from its assessment to notify the Commission.
Give the candidate a leaked export and a warehouse schema. Ask for the deduplicated count of individuals across the tables that hold the same identifier. Then ask which columns make it a breach of significant harm.
The Personal Data Protection Commission gave private organisations until 31 December 2026 to stop using NRIC numbers, in full or in part, for authentication. Its example of misuse is a default password built from a partial NRIC number and a birth date. Ask the candidate how they would trace the pipelines that feed NRIC fragments into account recovery or a call-centre check. Then ask what key replaces the fragment.
The Spark 4.0.0 release notes make ANSI SQL mode the default, with JDK 17 as the default runtime and JDK 8 and 11 dropped. Under ANSI mode, Spark throws an exception at runtime instead of returning null for invalid inputs, per its ANSI compliance guide. Hand over a Spark 3 job that casts a dirty date column and ask where it will fail after the upgrade.
Kafka 4.0 is the first major release to run without ZooKeeper, in KRaft mode by default. Its brokers, Connect and tools require Java 17, while clients and Streams require Java 11. Ask how the candidate would move a ZooKeeper cluster across, and how their consumers treat a late or duplicated event from a payments topic.
Apache Airflow's supported versions table lists Airflow 2 as end of life from 22 April 2026, with 2.11.2 as its last release. The Airflow 3 upgrade guide bars task code from importing database sessions or models, replaces SubDAGs with TaskGroups and Assets, and swaps SLAs for Deadline Alerts. Ask which of the three hit the candidate's last DAG estate.
Software is not one of the nine categories of commissioned work that can be "work made for hire" under 17 U.S.C. § 101, and a transfer must be in writing and signed under § 204(a).
Singapore's Copyright Act 2021 reaches the same place from the other side. A computer program is a literary work (section 13), and its author is the default first owner (section 133), even when a client paid for it. Only a written agreement changes that.
Work an employee makes under a contract of service belongs to the employer (section 134), and an assignment is valid only in writing and signed (section 138). The IPOS ownership guide states the commissioned-work default in plain terms. A contractor's DAGs, dbt models and ingestion code stay theirs until they sign them over.
IRS Publication 515 says the place where services are performed determines the source of the income, so work done in Singapore produces foreign-source income. A foreign individual gives the payer Form W-8BEN to certify foreign status.
The Ministry of Manpower says there is no single conclusive test between a contract of service and a contract for service. Its factors include who controls the method and timing of the work, who supplies the tools and workplace, and who carries the risk of profit or loss. An engineer on your on-call rota, using your laptop and your cloud accounts, looks like an employee.
Employers pay CPF contributions for Singapore citizens and permanent residents, at 17% of wages from the employer for employees aged 55 and below. Our Employer of Record service runs that payroll, with local detail on our Singapore EOR page. This is a summary, not legal advice.
| Independent contractor | Employer of Record | |
|---|---|---|
| Legal employer | None; the engineer invoices you | The EOR's Singapore entity |
| US paperwork | Form W-8BEN from the engineer | Service agreement with the EOR |
| IP | Signed written assignment of pipelines, models and schemas (sections 133 and 138) | Employer first owner (section 134), passed on through your EOR agreement |
| Local labor law | Employment finding if you control hours, tools and methods | Employment Act, public holidays and CPF for citizens and permanent residents apply |
| Pay currency | Agreed in the contract, often USD | Singapore dollar payroll run by the EOR |
EF EPI 2025 has no Singapore page, so there is no EF score to quote. Singapore's General Household Survey 2025 found English the language spoken most often at home by 58.1% of residents aged 5 and over, up from 48.3% in 2020. Of those English speakers, 80.5% also spoke a vernacular language as a second language.
For data work the written record matters most: data contracts, incident timelines and the written assessment of a possible PDPA breach. Ask finalists to write that assessment for the leaked export from the skills test, in the form a compliance officer would file.
The Ministry of Manpower lists 11 public holidays for 2026. Deepavali falls on Sunday 8 November, so Monday 9 November is the holiday for employees whose rest day is Sunday. Chinese New Year 2027 falls on 6 and 7 February, with Monday 8 February off on the same rule.
Thanksgiving on 26 November 2026 is a working day in Singapore, so an engineer there can watch the loads while your US team is off.

Second Talent's vetting covers stages 2 to 5 before you see a profile.
Stage 1: Define what the hire owns You name the sources, the warehouse or lakehouse, the orchestrator and the streaming layer, with versions. Add the personal data in scope, who signs off a breach assessment and a shift from the table above.
Stage 2: Application review We look for a platform the candidate owned in production: a streaming pipeline with a stated volume, a warehouse migration with a cut-over date, or an Airflow estate they upgraded. Work in Singapore banks, insurers or payment firms counts when the candidate can name the controls they ran.
Stage 3: Skills assessment The candidate fixes a Spark job that fails under ANSI mode, adds a Kafka consumer that handles duplicates, and scopes a leaked export against the PDPA thresholds. We score the code, the tests and the written count of affected individuals.
Stage 4: Live technical interview with a senior engineer A senior engineer reviews the submission in English, then moves to design: lineage for a customer ID across sources, a replacement for an NRIC-based check, and the cost of the candidate's last warehouse.
Stage 5: Background and reference checks We ask former managers what the candidate built alone, how their pipelines held up at month end and how they handled production data access. You then choose the contractor or EOR route above.
We shortlist 6-8 candidates within 24 hours from 100,000+ pre-vetted engineers, accepting only the top 1% of applicants. Data engineers from Singapore come with $0 upfront, no lock-in and 4-6 hours of daily overlap with US hours. We handle contracts, payroll and equipment, with compliant EOR contracts in Singapore.
Our pricing page sets out the monthly subscription, and our data engineers page compares the pool across Asia.
Everything you need to know about employment laws, payroll, and compliance when hiring developers in Singapore.
Singapore is the most expensive market we operate in, and for a specific set of roles it is still the right one. The trick is knowing which roles those are.
Job openings for every 100 jobseekers in early 2026
Recorded job vacancies at the start of 2026
English is an official and working language, so no EF rank
Monthly starting point for a senior engineer through us
Roughly 78,800 vacancies were open in early 2026, about 146 openings for every 100 jobseekers. Global firms running regional headquarters compete directly with local startups for the same senior engineers, and the hardest roles to fill are AI and machine learning, cloud architecture, security, data engineering and platform work. Punggol Digital District, fully operational in 2026, adds around 28,000 more technology jobs to that competition.
Local senior and lead salaries run past S$180,000 a year, and our own rates start around $5,000 a month, roughly double Vietnam or the Philippines. That premium buys regional context: people who have run teams across several Asian markets and can sit in front of a board. For build capacity at volume, hire the neighbours and put the lead in Singapore.
CPF applies to citizens and permanent residents only. Employers must not contribute for Employment Pass holders, so your cost turns on the hire's status rather than their salary. A citizen at S$8,000 a month costs an employer about S$9,371; an EP holder at the same salary costs about S$8,011.
See what each role actually pays in the Singapore developer rate card.
Sources: Singapore labour market statistics, early 2026; published 2026 technology salary guides; CPF Board contribution rates.
44 hours/week max for employees earning under SGD 4,500/mo.
150% for non-workmen earning under SGD 2,600/mo. No statutory OT for higher earners.
Typically 3-6 months. Not mandated by law but standard practice.
Per contract (typically 1-3 months). Default: 1 day to 4 weeks.
No statutory severance. Retrenchment benefit: 2 weeks-1 month per year (common).
Payroll, taxes, social contributions, leave tracking, contracts, and compliance in Singapore. You focus on building your product.
Pricing
Per full-time engineer, with vetting, employment, equipment, a dedicated partner and a replacement guarantee included. No upfront fees: you pay only when you hire.
Start Hiring*Starting price for a full-time engineer. Final rate depends on role, seniority and location.
Answers to common questions.
$0 upfront costs, pay only when you make a hire
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