LatAm, India, or the Philippines: Where Should You Hire Your Data Engineer?

Why Offshore Data Engineers?

Data engineers are in high demand right now, and hiring one in the United States often means paying well into six figures. If the data engineer has experience with AI or big data, expect to pay an additional $20,000 on top of that. 

With major players like Meta, IBM, and top gaming companies hiring aggressively, smaller teams are left struggling to compete for talent. According to Boston Consulting Group, the US will need 400,000 new data engineers annually just to keep up with demand.

To fill the gap, more US companies are turning to offshore hiring. Since the data engineering role can be performed remotely, offshoring is a practical way to access niche technical skills, scale quickly, and manage hiring costs. For many US businesses, hiring nearshore data engineers in Latin America is a starting point. However, India and the Philippines are also well-known offshoring destination countries. 

Choosing the right region means weighing more than just rates. Collaboration, communication, and long-term team integration all matter just as much.

LatAm vs. Philippines vs. India: Data Engineer Hiring Comparison

Hiring a data engineer remotely sounds straightforward. That is, until you realize just how many variables can affect the outcome. Rates vary widely. Time zone differences impact real-time collaboration. And even if someone looks great on paper, subtle differences in communication styles can affect how well they integrate into your team. 

With all these complexities, if your company is still figuring out how to hire a remote data engineer who checks all the boxes, you’re definitely not alone.

India and the Philippines remain popular choices for offshore hiring thanks to their large talent pools and lower rates. But for teams that need closer collaboration and shared working hours, Latin America is often a better fit. Its time zone alignment and cultural similarity make it an ideal offshoring location for many US companies.

Cost is a major factor when choosing an offshore country, but it’s only part of the decision. Many companies start by calculating labor costs, only to realize that slow feedback loops or inconsistent communication end up costing more in the long run. 

Hiring the wrong data engineer (or hiring the right one in the wrong context) can lead to project delays, rework, or infrastructure that doesn’t scale.

This section will help you weigh the trade-offs so you can make a smart, long-term decision, not just a fast one.

Total cost of hiring

For most companies, cost is the first thing they consider when hiring offshore. And it’s true that India and the Philippines typically offer the lowest rates. Based on third-party data from sources like PayScale and Levels.fyi, data engineers in India earn between $13,800 and $52,000 per year, while salaries in the Philippines range from $8,400 to $35,900.

Latin America isn’t the cheapest option. However, the savings are still substantial compared to US salaries, and the added benefit of hiring data engineers in LatAm is stronger alignment with US teams. 

According to our internal data, here’s what you can expect when hiring in LatAm:

While we have precise LatAm and US figures from our Data Roles Salary Guide based on our experience, figures for India and the Philippines are broad estimates from third-party sources and may mix contractor and full-time employee rates.

The amount you should expect to pay a data engineer in the US when compared with offshore options varies based on role seniority, but the differences are clear. LatAm rates fall around 50–70% lower than US rates, making hiring data engineers in this region a strong value without some of the trade-offs that come with ultra-low-cost markets.

Talent specialization and technical experience

India leads globally in talent volume—especially in AI, cloud, and big data development—due to its sheer population size and strong emphasis on STEM education. According to Developer Nation, 16% of global developers are based in South Asia (including India), compared to 10.7% in East Asia (including the Philippines). While that includes more than just data engineers, it reflects the region’s depth of technical talent.

All three regions have strong experience working with US companies, but LatAm engineers tend to align better culturally and operationally with US teams.

The IMD World Digital Competitiveness report ranks countries by big data readiness and digital skill depth. Big data rankings have been included here because they indicate how well the skills required for data engineering are being utilized within each country. Here’s how select countries compare:

India offers high specialization and scale. LatAm offers deep expertise with better alignment and communication for US-based teams.

Time zone overlap and real-time collaboration

Time zone compatibility can make or break remote collaboration, especially when projects move quickly and teams rely on daily feedback loops. That’s where Latin America has a clear advantage over India, but even more so than the Philippines.

Countries like Mexico, Colombia, Costa Rica, and Argentina share significant working-hour overlaps with US teams, making it easier to hold standups, resolve blockers, and communicate in real time. That level of alignment reduces delays and makes remote work seem a lot less remote.

India and the Philippines, by contrast, are 10 to 15 hours ahead of US time zones. While asynchronous workflows can work for some teams, the lack of overlap can create delays and friction, especially in data roles where iteration speed matters.

If your team depends on live collaboration, it makes sense to hire data engineers in LatAm who can work on your schedule without compromise.

Here’s how the regions compare when it’s 9 a.m. in key US time zones:

Infrastructure and tech ecosystem support

The IMD World Digital Competitiveness Report ranks countries on factors like infrastructure quality and funding for development in technical fields. Here, lower numbers indicate stronger performance.

India has long-established tech hubs and access to major talent centers, but occasional issues with power, connectivity, or logistics can create challenges. The Philippines is still developing its infrastructure, though steady progress is being made.

Latin America, while uneven across countries, shows strong momentum. This is especially true in places like Chile and Colombia, where tech investment and startup ecosystems are growing fast. Governments in the region are also increasing support for digital initiatives.

Which Region Makes the Most Sense for Your Team?

If cost is the top concern and the project is short-term, India or the Philippines may be the right choice. Both regions offer large talent pools and some of the most competitive rates. 

However, these savings often come with significant time zone differences and added coordination effort. The costs of dealing with these inconveniences add up over time, often eating up any of the savings from lower salaries.

For teams that rely on real-time collaboration, faster feedback cycles, and stronger day-to-day alignment, hiring remote talent in Latin America might make more sense. Data engineers in LatAm work similar hours to US teams and typically adapt more easily to US-style communication and project management, so there are fewer cultural differences.

If your goal is to build a data team that can scale over time and stay productive with less hand-holding, LatAm offers the right mix of value, quality, and integration.

How to Hire Offshore Data Engineers with Confidence

Hiring a data engineer offshore means making the right choices at every stage. Below are some tips you can follow to start the remote hiring process off with confidence:

• Work with a specialized hiring agency: Generalist platforms or freelance data engineers may offer benefits like a vast pool of candidates to choose from, but dedicated staffing and recruitment partners like Near focus on vetted data engineers who meet US standards.
• Review real project experience: Ask for specific examples, relevant tech stacks, and problem-solving approaches.
• Prioritize communication and time zone alignment: Engineers who can collaborate during your workday will contribute more efficiently and need less oversight.
• Plan for onboarding: Integrate new hires with clear documentation, internal tools access, and regular check-ins early on.

Hiring remotely works best when the process is intentional. These steps help reduce friction and delays and set your team up for success, regardless of region.

Final Thoughts

Any savings you might get by hiring data engineers from India or the Philippines can quickly disappear once time zone issues, communication delays, and rework start adding up.

Latin America offers a smarter balance. You still get significant savings but with the added benefit of real-time collaboration, cultural alignment, and strong technical talent.

The most successful teams focus on long-term fit, not just short-term price.

If you’ve never hired remotely or internationally before, Near is here to make it easy by helping your business find data engineers and other talent in Latin America. Whether you need one engineer or a full team, we’re ready to help. Book a free consultation with Near to get started.