Hire Data Engineers in Vietnam | Save Up to 70% on Staffing Costs

Data Engineers are crucial for enabling data-driven decision-making. They design, build, and manage the infrastructure that collects, stores, and processes massive datasets—making it accessible for analytics, business intelligence, and AI applications. Without skilled Data Engineers, organizations struggle with fragmented data, inconsistent reporting, and inefficient systems. However, hiring experienced Data Engineers locally can be costly, especially in competitive tech hubs.
Vietnam offers a growing pool of highly skilled Data Engineers with expertise in big data technologies, ETL pipelines, cloud platforms, and database optimization. THIENTU BPO helps businesses build dedicated offshore Data Engineering teams in Vietnam—cost-effective, scalable, and fully integrated into your analytics and IT operations.
What Is a Data Engineer?
A Data Engineer is responsible for creating and maintaining data pipelines, databases, and processing systems. They ensure data is clean, organized, and readily available for analysts, data scientists, and business stakeholders. Their work often involves integrating data from multiple sources, optimizing performance, and implementing data governance practices.
Why Hire Data Engineers in Vietnam?
Vietnam is a top destination for outsourcing across many industries—from tech and design to customer service and operations. Here's why global companies trust Vietnam for offshore hiring:
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Educated and Skilled Talent
Vietnam produces highly trained engineers with expertise in Python, SQL, big data frameworks, and cloud services. -
Strong English and Work Culture Fit
Data Engineers in Vietnam can collaborate effectively with global teams, following Agile, DevOps, and data governance standards. -
Lower Operational Costs
Vietnam salaries are 30–70% lower than US, Singapore, and European markets—helping you scale your data infrastructure affordably. -
Good Time Zone Coverage
Vietnam’s working hours overlap with APAC, Europe, and U.S. time zones—enabling real-time collaboration on projects.
Data Engineer Roles You Can Offshore
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Big Data Engineer
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ETL Developer
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Cloud Data Engineer (AWS, Azure, GCP)
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Data Pipeline Engineer
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Database Engineer (SQL/NoSQL)
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Streaming Data Engineer
Core Responsibilities Handled by Offshore Data Engineers
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Designing and building data pipelines for structured and unstructured data
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Developing ETL (Extract, Transform, Load) workflows
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Managing and optimizing SQL/NoSQL databases
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Integrating data from multiple APIs and systems
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Working with big data tools like Hadoop, Spark, and Kafka
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Implementing data quality checks and governance policies
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Supporting analytics, reporting, and machine learning workloads
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Maintaining data security and compliance standards
Top Skills to Look for in an Offshore Data Engineer
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Proficiency in Python, SQL, and data processing frameworks
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Experience with ETL tools (Airflow, Talend, SSIS)
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Knowledge of cloud platforms (AWS Redshift, Azure Synapse, Google BigQuery)
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Understanding of big data tools (Hadoop, Spark, Kafka)
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Familiarity with database optimization and indexing
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Strong problem-solving and debugging skills
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Data modeling and architecture experience
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English communication skills for reporting and collaboration
Salary Comparison Table: Vietnam vs USA vs Singapore
Role | Vietnam (USD/month) | USA (USD/month) | Singapore (USD/month) |
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Data Engineer (Mid) | $950–$1,530 | $7,000–$10,000 | $6,000–$9,000 |
Senior Data Engineer | $2,285–$2,670 | $9,000–$13,000 | $7,500–$11,000 |
Big Data Engineer | $2,210–$2,860 | $8,000–$12,000 | $6,800–$10,500 |
How THIENTU’s Proven Hiring Process Works
We make it easy to hire top remote talent through a structured, fast-tracked process that works across all roles and markets:
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Define Your Needs
Specify your data stack, infrastructure goals, and technical requirements. -
Review Qualified Candidates
Receive a curated shortlist of pre-vetted Data Engineers in 5–7 business days. -
Interview & Select
Assess technical capabilities through interviews or data pipeline test projects. -
Launch with Support
We manage onboarding, IT setup, compliance, and ongoing performance tracking.
Sample Job Description – Offshore Data Engineer
Key Responsibilities:
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Build and maintain scalable data pipelines
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Develop ETL processes for analytics and reporting
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Optimize data storage and retrieval
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Integrate data from APIs and third-party systems
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Monitor data quality and security
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Collaborate with analysts and data scientists
Essential Skills & Qualifications:
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2+ years of experience in data engineering or database development
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Strong proficiency in SQL and Python
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Experience with cloud data services (AWS, Azure, GCP)
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Knowledge of ETL workflows and big data tools
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Good English communication skills
FAQs
Can offshore Data Engineers work on cloud-based projects?
Yes. Many have expertise in AWS, Azure, and Google Cloud data services.
Do they handle real-time data processing?
Yes. Our engineers can work with streaming platforms like Kafka and Spark Streaming.
Can they integrate with our analytics team?
Yes. Offshore Data Engineers collaborate directly with data analysts and scientists.
How quickly can I hire a Data Engineer?
You’ll receive a shortlist in 5–7 business days, with onboarding in 10–14 days.
Do you provide data governance expertise?
Yes. Many candidates are trained in compliance and governance frameworks.
Hire a Data Engineer in Vietnam Today
THIENTU BPO helps you hire skilled, cost-effective Data Engineers in Vietnam—ready to build and optimize your data infrastructure. Contact us at info@thientu.vn to start building your offshore data engineering team today.
Hire pre-vetted Database Developers with THIENTU BPO within 10–14 days. Build, maintain, and optimize your databases with skilled, cost-effective offshore talent in Vietnam.