Nearshore Software Development in Latin America

US companies nearshore software development to Latin America for one structural reason: the region already sits inside North American working hours. A team in Guadalajara or Bogotá shares most of a US workday, so standups, code review and incident response happen in real time instead of on an overnight delay. Cost and talent supply matter too, but time-zone overlap is the advantage that distant offshore locations cannot reproduce at any price.

This article covers the region as a whole: how much overlap each country actually gives you, what the English proficiency data says, how legal and data-protection regimes differ, and how to pick a country for a specific need. If you want one country in depth, we cover outsourcing to Mexico specifically. If you are still deciding between models, start with our comparison of offshore versus nearshore outsourcing.

How much time-zone overlap do you actually get?

“Similar time zones” is the most repeated claim about Latin America and the least often quantified. Here is the arithmetic.

Standard offsets below are from the IANA Time Zone Database, the reference dataset operating systems use to compute local time. Overlap figures are derived from those offsets against a nine-to-five workday.

Country (reference city)	Standard UTC offset	Observes DST?
Mexico (Mexico City)	UTC−6	No
Costa Rica (San José)	UTC−6	No
Colombia (Bogotá)	UTC−5	No
Chile (Santiago)	UTC−4	Yes, roughly September to April
Argentina (Buenos Aires)	UTC−3	No
Uruguay (Montevideo)	UTC−3	No
Brazil (São Paulo)	UTC−3	No

Against a nine-to-five US Eastern day, a nine-to-five local day works out to roughly six to seven hours of shared working time for every country in that table. That is the number worth holding onto: most of a working day, every day, without anyone taking a 10 p.m. call.

The US West Coast changes the math

Overlap is a property of a country pair, not of a country. Mexico and Costa Rica at UTC−6 run one hour ahead of US Pacific during Pacific Daylight Time, which means a local nine-to-five covers roughly seven hours of a Pacific workday.

Argentina, Uruguay and Brazil at UTC−3 run four hours ahead of Pacific. Their nine-to-five ends in the early Pacific afternoon, leaving about four hours of overlap. For a San Francisco or Seattle engineering org, that is a materially different working relationship than for a New York one. Southern Cone countries pair well with the East Coast; Mexico, Costa Rica and Colombia pair well with everyone.

Daylight saving time makes the gap move

Most of the region has stopped changing its clocks. Brazil abolished DST by decree in 2019, and Mexico, Colombia, Argentina, Uruguay and Costa Rica hold a fixed offset all year. The United States does not. So the gap between your team and theirs shifts by an hour twice a year, and it shifts in the direction that reduces overlap with Mexico and Costa Rica during the US summer.

Chile is the exception that moves on its own schedule, observing DST from roughly September to April, the opposite half of the year from the US. Plan recurring meetings against a calendar that stores time zones properly rather than fixed UTC times. Our guide to managing a development team across time zones covers the operating practices in more detail.

Which Latin American country is best for software development?

There is no single answer, because the countries lead on different dimensions. This table combines the three factors that are actually measurable and sourced.

Country	UTC offset	EF EPI 2025 score	Global rank	EU adequacy decision
Argentina	UTC−3	575	26	Yes
Uruguay	UTC−3	542	34	Yes
Chile	UTC−4	517	54	No
Costa Rica	UTC−6	516	55	No
Brazil	UTC−3	482	75	Yes
Colombia	UTC−5	480	76	No
Mexico	UTC−6	440	103	No

English scores and global ranks are from the EF English Proficiency Index 2025, which is based on test results from 2.2 million adults across 123 countries and regions. Adequacy status is from the European Commission’s list of countries recognized as providing adequate data protection. Offsets are from the IANA database as above.

Read the table by constraint rather than by row:

• Argentina and Uruguay lead the region on measured English and both carry EU adequacy. They are the tightest fit for East Coast teams and for products handling EU personal data.
• Mexico and Costa Rica give the widest overlap across all US time zones, including the West Coast. Mexico’s national English average is the lowest of the seven, which makes screening for English an explicit part of hiring rather than an assumption.
• Colombia sits at UTC−5, matching US Eastern exactly for part of the year, with a mid-table English average.
• Chile scores well on English but is the only country in the group whose clocks move, and they move opposite to the US.
• Brazil is the region’s largest economy and carries EU adequacy, with a mid-table English average and an Eastern-friendly offset.

How good is English proficiency, really?

Two cautions about the numbers above. First, the EF EPI measures a general adult population that chose to take an online English test. It is not a measure of professional software engineers, who skew significantly higher in every one of these countries because English is the working language of the field. A country’s national average tells you how hard you will have to search, not the ceiling of what you will find.

Second, proficiency is a per-person attribute, and you are hiring people, not countries. A senior engineer in Guadalajara who has shipped product with US teams for six years is not described by a national average. Use the index to set expectations about the size of the qualified pool, then assess English directly in interviews. Any partner that cannot put candidates on an unscripted call with your engineers is not demonstrating the thing that matters.

What does it cost?

This is where most articles on this topic invent numbers. Hourly rate ranges for Latin American developers circulate widely online without primary sourcing, and they are usually stale, unattributed, or quietly comparing a junior contractor in one country to a senior engineer in another. We are not going to add to that.

What can be said with sourcing is macro context. World Bank figures for GDP per capita in 2024 (current US$) show the United States at about $86,170, against Uruguay at roughly $24,308, Costa Rica $18,853, Chile $16,659, Mexico $13,988, Argentina $13,970, Brazil $10,311 and Colombia $7,951 (World Bank data). That is an economy-wide indicator, not a developer rate, and engineering salaries in every one of these countries sit well above their national average. It explains the direction of the cost difference without pretending to price your team.

The more useful exercise is modeling total cost rather than rate. That means the contracted rate, plus the weeks of recruiting and onboarding before anyone is productive, plus attrition and the rework it causes, plus the management overhead of coordinating across a time gap. Overlap compresses that last item, which is why a nearshore team at a similar headline rate to an offshore one frequently costs less to run.

Talent availability and the tech ecosystem

Developer-population counts for Latin America are the single most unreliable statistic in this category. Figures like “two million engineers in the region” get repeated across vendor blogs with no methodology and no primary source behind them, so we will not quote one.

What is observable is where the work is. Every major US cloud and enterprise vendor now has engineering presence in the region, the multinational IT services firms staff delivery centers across Mexico, Colombia and Brazil, and a generation of engineers has grown up building for US product companies. The practical consequence for you is not a headcount number. It is that in the main hubs you are hiring from a pool of engineers who have already worked in US-style agile teams, know the tooling, and do not need the working model explained.

Depth varies by specialization. Enterprise Java, .NET, JavaScript and Python hiring is straightforward in the large hubs. Narrow specializations, such as a specific regulated-industry integration or an uncommon data platform, thin out quickly. Test the specific skill you need rather than the region’s general reputation.

Legal, IP, and data protection

Two separate questions get conflated here.

Who owns the code? This is a contract question, not a geography question. Your agreement needs written IP assignment covering all work product, confidentiality terms that survive termination, and explicit rules about repository, cloud and production-data access. Engage counsel on enforceability in the specific country. A partner that employs its engineers directly, rather than subcontracting them onward, gives you a much shorter chain of custody over your code.

Where can personal data go? Here geography matters. The European Commission recognizes Argentina, Brazil and Uruguay as providing an adequate level of data protection, which means personal data can move there from the EU without additional safeguards. If your product carries EU personal data, that list is a genuine shortlist. For US-regulated data, the controlling constraints are your own obligations, such as HIPAA business associate agreements or PCI DSS scope, and those travel with your contract and controls rather than with the country.

How to choose a country for your need

A short decision path:

• West Coast engineering org: Mexico, Costa Rica or Colombia. The Southern Cone costs you roughly three hours of daily overlap.
• East Coast org, English-critical roles: Argentina or Uruguay, where measured proficiency is highest.
• EU personal data in scope: Argentina, Brazil or Uruguay, which hold adequacy decisions.
• Heavy real-time collaboration, such as pairing or live incident response: maximize overlap first and treat every other factor as secondary.
• Large or rapidly scaling team: favor the bigger hubs, where a second and third hire do not exhaust the local pool.

Most companies over-weight rate and under-weight overlap and seniority. Overlap is the variable you cannot renegotiate later.

Risks, and how to mitigate them

Nearshoring is not risk-free, and the honest version of this article says so.

Currency and macroeconomic volatility. Several economies in the region have experienced significant inflation and exchange-rate movement. Mitigate by contracting in US dollars with defined rate-adjustment terms, so cost is predictable across a multi-year engagement.

Attrition in hot markets. Competition for senior engineers in the main hubs is real. Mitigate contractually with notice periods and named-backup requirements, and operationally by insisting on documentation and shared code ownership so no single person holds critical knowledge.

Seniority inflation. Titles are not standardized across markets. Mitigate by running your own technical assessment on every candidate rather than accepting a label.

Communication drift. Overlap is an opportunity, not a result. Teams that do not deliberately use their shared hours end up asynchronous anyway. Mitigate with a written communication plan: which ceremonies are synchronous, expected response times, and where decisions get recorded.

Vendor concentration. A single subcontracted supplier in a single city is a fragile arrangement. Ask who actually employs the engineers, and whether the partner can staff across more than one location.

Before you sign anything, turn each of those five items into an explicit question for the partner, and ask for the answer in writing.

How nearshore engagements are structured

Three models cover nearly all of this work, and the choice should follow how much ownership you want to retain.

Staff augmentation. Individual engineers join your existing team, your managers direct the work, and your processes apply. Best when you have engineering leadership and a backlog but not enough hands. This is the most common entry point, and it is what most companies mean by nearshoring. See staff augmentation services.

Dedicated teams. A standing cross-functional team, often with its own lead, QA and delivery manager, working as a persistent extension of your organization. Best for a product area you want owned end to end over years rather than a gap you want filled. See dedicated development teams.

Outcome-based delivery. The partner takes a defined scope, budget and timeline and delivers against it. Best when the outcome is well specified and you would rather buy a result than manage a team. See outcome-based delivery.

Most long-running relationships start with augmentation and migrate toward dedicated teams as trust and domain knowledge build. For an example of that arc in a regulated industry, see how a nearshore team grew from DevOps into data engineering for Flatiron Health.

Working with unosquare

unosquare has been building nearshore engineering teams for US companies for over 16 years, with delivery locations in Mexico (Guadalajara, León and Aguascalientes), Colombia (Bogotá and Medellín) and Bolivia (Cochabamba), alongside offices in Birmingham, Portland and Belfast. That footprint is deliberate: it spans the UTC−6 to UTC−4 band, which is the range that overlaps every US time zone.

If you want to talk through which country fits your team’s hours, stack and compliance requirements, get in touch. We will tell you plainly if the answer is a country we do not staff.