Divya 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.
Divya Menon
Dedicated Data Engineer · 8+ Years
Working remotely at an EU SaaS
A pipeline fails quietly over the weekend and Monday's dashboards are wrong again. Data engineers in India rebuild Spark and dbt jobs with alerting, so the AI agents at your US company read clean data.
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.
Divya 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 · 8+ Years
Working remotely at an EU SaaS
Nikhil 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 · 9+ Years
Working remotely at a US E-commerce
Rohan 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 · 10+ Years
Working remotely at a US E-commerce
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 · 8+ Years
Working remotely at an AU AI
Aditya ships production data pipelines end-to-end with strong Airflow, dbt, and Spark experience. He has built real-time and batch systems for fintech and ad-tech clients.
Dedicated Data Engineer · 7+ Years
Working remotely at a US E-commerce
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 India through Second Talent, with dedicated pre-vetted talent and compliant employment handled for you.
Most US clients hiring Data Engineers in India start with one engineer and scale to a 3–5 person team within the first quarter.
European teams hiring Data Engineers in India typically replace 3–4 senior open roles with one Second Talent engagement.
Australian teams hiring Data Engineers in India get the closest time-zone alignment of any offshore destination.
TL;DR: Data engineers in India earn $2,300 to $8,470+ a month working for international clients on our rate card, 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.
India's Digital Personal Data Protection Act, 2023 switches off most of its duties when a person based in India processes the personal data of individuals outside India under a contract with a person outside India. Section 8(5), the duty to take reasonable security safeguards, stays on, and a breach carries the Act's largest penalty: up to ₹250 crore.
Key takeaways
The India range opens lowest of the four markets, $1,180 below Vietnam's, and its ceiling sits between Malaysia's and Vietnam's. 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) |
|---|---|
| India | $2,300-$8,470+ |
| Vietnam | $3,480-$6,960+ |
| Malaysia | $4,420-$8,600+ |
| Indonesia | $4,540-$10,210+ |

Monthly ranges from the Remote (Working for International Clients) figures on our rate cards for India, Vietnam, Malaysia and Indonesia, converted at ExchangeRate-API mid-market rates for 14 September 2026.
The India card quotes ₹220,000 to ₹810,000+ a month. A range that wide covers an engineer maintaining SQL jobs on an old warehouse and one who designs a lakehouse, so write the brief before you anchor on a number.
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.
Mid-level US freelance data engineers cost $92 to $145 an hour on our data engineer cost-to-hire page, the reference point for a short contract.
No BLS occupation carries the data engineer title. We map the role to Data Scientists (15-2051), whose BLS definition takes in data modelling and converting raw data into information.
| BLS OEWS, May 2025, national | Data Scientists (15-2051) |
|---|---|
| Median annual | $120,230 |
| 10th percentile, monthly | $5,600 |
| 25th percentile, monthly | $7,140 |
| Median, monthly | $10,020 |
| 75th percentile, monthly | $13,240 |
| 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.
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 pipeline that fails at midnight in New York fails at 9:30 am in Bengaluru while US daylight time lasts. Bengaluru runs on UTC+5:30 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 Chicago is 14:00 UTC under CDT (UTC-5), which is 7:30 pm in Bengaluru. Under CST (UTC-6) it is 8:30 pm. New York's 9:00 am lands at 6:30 pm in summer, and San Francisco's at 9:30 pm.
| Bengaluru shift (UTC+5:30) | ET overlap (EDT / EST) | CT overlap (CDT / CST) | PT overlap (PDT / PST) | Hours between 10 pm and 6 am |
|---|---|---|---|---|
| 9:30 am-6:30 pm | 0 / 0 | 0 / 0 | 0 / 0 | 0 |
| 12:30 pm-9:30 pm | 3 / 2 | 2 / 1 | 0 / 0 | 0 |
| 3:30 pm-12:30 am | 6 / 5 | 5 / 4 | 3 / 2 | 2.5 |
| 5:30 pm-2:30 am | 8 / 7 | 7 / 6 | 5 / 4 | 4.5 |
Each shift is nine clock hours with a meal break, counted against a 9 am to 5 pm US day.
The day shift suits batch ownership. The engineer reruns failed jobs and backfills gaps, then posts a freshness note before your analysts log on. The 12:30 pm row adds a short overlap for schema changes that need a US product owner.
We fix the shift before the offer, which is how our placements get 4-6 hours of daily overlap with US hours.

In Stack Overflow's 2025 survey, 58.2% of professional developers used PostgreSQL, against 6.5% for BigQuery, 4.2% for Snowflake and 3.2% for Databricks SQL. Many candidates will have spent more years on Postgres than on your warehouse, so test the warehouse you run.
The Spark 4.0.0 release notes list ANSI SQL mode as the default, Scala 2.13 as the default and JDK 17 as the default, with 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 dirty strings to integers and ask what breaks after the upgrade.
Airflow 3.0 shipped on 22 April 2025, and the supported versions table marks Airflow 2 end of life a year later. The upgrade guide says task code can no longer import Airflow 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.
Fivetran completed its all-stock merger with dbt Labs on 1 June 2026 and released the Fusion engine runtime as dbt Core v2.0, in alpha, under Apache 2.0. An enforced model contract makes dbt run a preflight check on column names and data types. Ask which models the candidate would put under contract first and why.
Each warehouse size step doubles credit usage per hour, and billing runs by the second with a 60-second minimum whenever a warehouse starts, per its warehouse overview. A job that wakes a suspended warehouse every five minutes pays that minimum 12 times an hour. Ask the candidate for a bill they cut and the before-and-after figure.
Kafka 4.0 is the first major release to run without ZooKeeper, in KRaft mode by default, and its brokers require Java 17. Ask how the candidate would move a ZooKeeper cluster across, and how their consumers handle a late or duplicated event.
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).
India's Copyright Act, 1957 defines literary work to include computer programmes and compilations including computer databases, a definition that reaches pipeline code and the databases it assembles.
Section 17(c) gives the employer first ownership only of work made under a contract of service, so a contractor keeps copyright until a written, signed assignment under section 19. That assignment defaults to five years and to India unless it states a term and territory.
IRS Publication 515 says the place where services are performed determines the source of the income, so a data engineer in Hyderabad earns foreign-source income. A foreign individual gives the payer Form W-8BEN to certify foreign status.
India's Supreme Court, in Ram Singh v. Union Territory, Chandigarh, held that control matters but is not the sole test, and weighed integration into the business, who organises the work and who supplies the tools.
On data access, the US rule on bulk sensitive personal data names six countries of concern: China, Cuba, Iran, North Korea, Russia and Venezuela. India is not among them.
Whichever route you pick, ask a finalist who will load your US customer tables which security safeguards they would build first, since the DPDP duty in section 8(5) survives the exemption.
Our Employer of Record overview explains how an EOR employs a hire through its own local entity. This is a summary, not legal advice.
| Independent contractor | Employer of Record | |
|---|---|---|
| Legal employer | None; the engineer invoices you | The EOR's Indian entity |
| US paperwork | Form W-8BEN from the engineer | Service agreement with the EOR |
| IP | Section 19 assignment naming pipelines, dbt models and schemas, with term and territory | Employer first owner under section 17(c), passed on through your EOR agreement |
| Local labor law | Employment finding if the engineer is part of your data team's daily operation | Indian employment and social security rules apply |
| Pay currency | Agreed in the contract, often USD | Local payroll in rupees run by the EOR |
India's writing score on the EF English Proficiency Index 2025 is 504, while its listening score is 457, per EF's India page. The national score is 484, 74th of 123 countries and regions against a global average of 488, and the IT job-function score is 487. Hyderabad scores 554 and Chennai 534.
A 47-point gap between writing and listening favours written handoffs. Keep schema decisions in a pull request or a design note, and follow each call with a written summary. Ask finalists to write the incident note for a backfill that loaded duplicate rows.
India's central government list for 2026, set by a DoPT office memorandum of 3 July 2025, puts Dussehra on Tuesday 20 October and Diwali on Sunday 8 November. Private employers set their own lists, so agree pipeline cover for that stretch before October.
Thanksgiving on 26 November 2026 is a working day in India, so an engineer there can watch the Black Friday 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 freshness each table needs. Say whether the engineer touches personal data, and fix the Bengaluru shift from the table above.
Stage 2: Application review We look for pipelines the candidate ran after launch: a backfill they designed, a schema change they rolled out, a bill they cut. They give volumes in rows or terabytes a day. A tool list with no production story does not pass.
Stage 3: Skills assessment The candidate fixes a failing Airflow DAG that loads a dbt model, with a late-arriving dimension and a string-to-integer cast planted for Spark 4. We score idempotency, tests and the pull request note.
Stage 4: Live technical interview with a senior engineer A senior engineer walks through the assessment in English, then asks for a design: an incremental model for a table that receives updates, the warehouse size to run it on, and what pages whom when it fails.
Stage 5: Background and reference checks We ask former managers about data incidents the candidate owned, how they handled access to customer tables and how they documented pipelines for the next engineer. 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 India come with $0 upfront, no lock-in and 4-6 hours of daily overlap with US hours. We handle contracts, payroll and equipment.
Our pricing page covers the subscription, and for the modelling on top of your pipelines we also staff data scientists in India.
Everything you need to know about employment laws, payroll, and compliance when hiring developers in India.
India is the deepest pool in Asia and the one where the gap between the best and the median is widest. The market rewards structured screening more than any other.
Technology industry revenue in FY26, up 6.1%
People employed in the sector
Global capability centres, about half the world total
Monthly starting point for a senior engineer through us
The sector reached about $315 billion in FY26 revenue, up 6.1 percent, while headcount rose only 2.3 percent to roughly 5.95 million, a net addition near 135,000. That divergence is AI productivity showing up in the numbers, and it means the market is now competing for engineers who can direct AI output rather than produce volume. More than two million professionals have been upskilled in AI, with 200,000 to 300,000 at an advanced level.
India scored 484 in the 2025 EF English Proficiency Index, 74th of 123. That national average hides an enormous spread: engineers in the top product companies and capability centres communicate at a level the number does not reflect, while the tail is genuinely weak. Screen the individual and ignore the market average.
Bengaluru dominates with more than 880 capability centre units and roughly 36 percent of all GCC talent. Hyderabad, Chennai, Pune, Delhi NCR and Mumbai each hold real depth with different specialisms. Notice periods commonly run 30 to 90 days, and 90 is standard at large enterprises, so build that into your start date rather than discovering it at offer stage.
See what each role actually pays in the India developer rate card.
Sources: NASSCOM Strategic Review 2026; published GCC counts for 2026; EF English Proficiency Index 2025.
48 hours/week max (9 hrs/day) under state Shops & Establishments Acts. Tech firms run 40 hrs (Mon-Fri).
200% of ordinary wages beyond 9 hrs/day or 48 hrs/week. Exact caps vary by state.
No statutory cap. Set by contract, typically 3-6 months in tech.
30-90 days by contract. 60-90 days is the norm for senior tech roles in India.
Retrenchment: 15 days average pay per completed year. Gratuity: 15 days wages per year after 5 years.
Payroll, taxes, social contributions, leave tracking, contracts, and compliance in India. 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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