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Hire Senior Data Engineers

Hire pre-vetted senior data engineers. Python, Spark, dbt, Airflow, Snowflake — $2,800–$7,000/mo, matched in 24 hours.

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We help companies save $103,000+ per hire

24 Hours

to get matched

4.9

avg client rating

200+

companies building with us

98%

talent retention rate

Automate Workflows Build AI Agents Ship LLM Features Build RAG Pipelines Cut LLM Costs Tame AI Sprawl Build MVPs Scale Engineering Automate Workflows Build AI Agents Ship LLM Features Build RAG Pipelines Cut LLM Costs Tame AI Sprawl Build MVPs Scale Engineering
End DevOps Burnout Modernize Stack Hit Q4 Roadmap Cut Burn Rate Replace Agencies Extend Runway Build Without Borders Ship 3x Faster End DevOps Burnout Modernize Stack Hit Q4 Roadmap Cut Burn Rate Replace Agencies Extend Runway Build Without Borders Ship 3x Faster

Pre-vetted Data Engineers in Asia

1,050+ Data Engineers Available to Hire

Why Second Talent?

Built for AI-era teams. Engineers who build, not just candidates who apply.

01

AI-native engineers

Engineers who ship with Claude Code, Cursor and modern AI toolchains. They build LLM features and deploy AI tools into production.

02

Strict vetting

Every engineer goes through coding tests, peer interviews, and role checks. We test for AI tools and the stack you use.

03

Built for your timezone

4-8 hours of daily overlap keeps your team aligned. No 3am standups, no lag. Asia's top engineers on your schedule.

04

Onboard in days

We source, match, and deploy engineers from Vietnam, Philippines and beyond, so you start building immediately.

Built for global teams

Hire Data Engineers from the US, EU, and Australia

We work with engineering teams in the United States, Europe, the UK, and Australia who hire pre-vetted senior engineers in Asia every week. Senior talent, time-zone overlap, and compliant employment, handled by Second Talent.

Hiring from United States

  • 4–6 hours of overlap with US Eastern, 6–8 with Pacific
  • Delaware MSA, NDA and IP assignment on file
  • USD billing, monthly invoices, Stripe or bank transfer

Most US clients start with one engineer and scale to a 3–5 person team within the first quarter.

Hiring from Europe & the UK

  • 6–8 hours of daily overlap with CET and UK working hours
  • GDPR aligned, EU standard contractual clauses available
  • EUR or GBP billing supported, SEPA / Wise / bank transfer

European teams typically replace 3–4 open senior roles with one Second Talent engagement.

Hiring from Australia

  • 6–8 hours of daily overlap with Sydney and Melbourne working hours
  • AU-aligned contracts, ABN-friendly invoicing
  • AUD or USD billing, monthly cycle

Australian teams get the closest time-zone alignment of any offshore destination.

Hiring Data Engineers shouldn't take months.

Watch how Second Talent works, from your first call to an onboarded engineer on your team.

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How Second Talent Works

Hiring Data Engineers is Easy with Second Talent

Hire in 3 steps, not 3 months.

1

Tell Us What You Are Building

Share what to ship, automate, or scale. Plus stack, budget, and timezone overlap.

2

Meet Top Picks in 24 Hours

6–8 pre-vetted Data Engineers fluent in Claude Code and modern AI stacks. Interview the ones you like.

3

Ship From Day One

We handle contracts, payroll, and equipment. Your Data Engineer ships real output within the first week.

What our clients say

Get Pre-Vetted Senior Data Engineers in 24 Hours

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A Complete Guide to Hiring Data Engineers Talent

Contents (4 sections)

TL;DR: Hire senior data engineers in Southeast Asia for $2,800–$7,000/mo. Save up to 75% vs US salaries. Pre-vetted Python, Spark, dbt, Airflow, and Snowflake talent in 24 hours.

Why Companies Are Hiring Data Engineers Remotely

Data engineering is the foundation of every analytics and ML system. Senior US data engineers average $135,000–$180,000 per year and take 8–14 weeks to hire. Southeast Asian data engineering talent delivers the same Spark, dbt, and Snowflake depth at $2,800–$7,000 per month, with shortlists in 24 hours.

We worked with a US-based health-tech company that needed a data engineer to migrate their analytics stack from Postgres + custom Python scripts to dbt + Snowflake. Through Second Talent they hired in four days. The new pipeline went live two months later, dropping data freshness lag from 24 hours to 15 minutes.

Factor Hiring Locally (US) Hiring via Second Talent
Time to hire 8–14 weeks 24 hours
Average monthly cost $11,250–$15,000 $2,800–$7,000
Vetting Done by you Pre-vetted (top 1% only)

Data Engineer Skills in 2026

A senior data engineer should be fluent in Python and SQL, comfortable with at least one modern warehouse (Snowflake, BigQuery, Databricks), one orchestrator (Airflow, Dagster, or Prefect), and one transformation framework (dbt, Spark).

Specialization Common Stack Use Cases
Modern data stack dbt, Snowflake, Airflow, Fivetran Analytics warehousing
Streaming Kafka, Flink, Spark Streaming Real-time analytics, fraud detection
Lakehouse Databricks, Delta Lake, Iceberg Multi-purpose data + ML platforms
Reverse ETL Hightouch, Census, Segment Activating warehouse data into apps

How Second Talent Vets Data Engineers

Technical assessment with real Spark or dbt scenarios, live system design interview focused on data architecture, English check, and reference verification. Only the top 1% pass.

Hiring Process with Second Talent

Tell us your warehouse, your data volume, and your goals. We deliver 6 profiles in 24 hours. Contracts and compliance run through our Employer of Record service. Book a free consultation.

Frequently Asked Questions

What does a data engineer do?
A data engineer builds and maintains the systems that move and transform data — ETL/ELT pipelines, data warehouses, data lakes, and analytics infrastructure. They make sure analysts and ML systems have clean, reliable data to work with.
How fast can I hire one?
Pre-vetted profiles within 24 hours, hire within 3–7 days.
How much does it cost?
Senior data engineers range from $2,800–$7,000/month. Compared to $135,000–$180,000/year in the US.
What tools do your data engineers know?
Python, SQL, Apache Spark, Apache Airflow, dbt, Snowflake, BigQuery, Databricks, Kafka, and modern lakehouse architectures.
Can they migrate legacy data warehouses?
Yes. Most senior data engineers in our network have experience migrating from on-prem (Oracle, Teradata) to modern cloud warehouses (Snowflake, BigQuery, Databricks).

Asia's top Data Engineers fully compliant, matched in 24 Hours.

$0 upfront costs, pay only when you make a hire

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