Hire remote Data Engineers from LatAm for 30% less than US-market

Near can help startups and larger companies find, interview, and hire great pre-vetted Data Engineer talent from Latin America in 21 days or less.

Trusted by great businesses like:
Hotjar logotypeExpensify logotypedeel logoChili Piper logotype
a group of four people with different facial expressions
Trusted by great businesses like:
Hotjar logotypeExpensify logotypedeel logoChili Piper logotype
Hotjar logotypeExpensify logotypedeel logoChili Piper logotype
Hotjar logotypeExpensify logotypedeel logoChili Piper logotype
Hotjar logotypeExpensify logotypedeel logoChili Piper logotype

There is a wealth of Data Engineer talent in LatAm.

Tap into our pool of 35k+ candidates to hire top-tier Data Engineer quickly and cost-effectively. Near enables startups and mid-market enterprises to reduce hiring expenses and drive innovation without compromising on talent. Assemble a high-performing IT, Data, and Engineering team and outpace competitors, all while staying budget-conscious.

Near can help you

a close up of a computer screen with a pattern of black and yellow

Save 30-70% on salaries. We offer lower-cost, motivated candidates.

a close up of two different colored fish on a black background

Hire quickly — 10x Faster. Typically you can hire in under 21 days.

a close up of a computer screen with a blue and yellow triangle

Find the best teammates for you. Experts at building and optimizing systems to collect and manage data effectively.

a close up of a colorful triangle with a black background

Save time with pre-vetted candidates. English speaking. Comprehensive data warehousing and data lakes experience.

Experience

Near candidates are skillful professionals with excellent English proficiency and impressive work experience.

meta logo
google logo
salesforce logo
amazon logo
microsoft logo
ibm logo
No items found.

Junior Data Engineer

Has 1-2 years of experience or less. Assists in data pipeline development, learns about database systems, and gains experience in data transformation.

3 step

Mid-level Data Engineer

Has 3-5 years of experience. Develops data pipelines, collaborates with data scientists, and contributes to data architecture design.

2 step

Senior Data Engineer

Has 5 years of experience or more. Possesses deep expertise in data engineering, optimizes data pipelines, and leads complex data integration projects.

1 step

Manager/Director of Data Engineering

Has 7+ years of experience in management roles. Oversees data engineering projects, manages data engineer teams, and shapes strategies for effective data management and integration.

4 step

See a few of our 35k pre-vetted candidates

Ana G.
Ana G.

Python Programmer

from 

Brazil

Mid Level
Python
SQL
Victor L.
Victor L.

Data Scientist

from 

Brazil

Senior / C-Level
Javascript
Statistical Data Analysis
Data Scientist
Andy Q.
Andy Q.

Senior Data Engineer

from 

Perú

Mid Level
GCP
Scala
Data Engineer
Belen G.
Belen G.

Airtable Specialist

from 

Bolivia

Associate
Email Marketing
Airtable
Klaviyo
Zapier
Justo S.
Justo S.

Head of Data and Analytics

from 

Chile

VP
PowerBI
Brian B.
Brian B.

Data Manager

from 

Brazil

Associate
PowerBI
Luis S.
Luis S.

Data Scientist

from 

Nicaragua

Entry Level
ETL Softwares
Data Reporting
Data Scientist
Elkin R.
Elkin R.

Data Scientist

from 

Brazil

Associate
Data & Operations Science
Matias C.
Matias C.

Senior Data Analyst

from 

Argentina

Mid Level
MS Excel
Lucas R.
Lucas R.

Python Programmer

from 

Colombia

Associate
Management
a group of three men and a woman

Why LatAm?

US Time Zones

Hire teammates, not offshore resources. Near candidates work in US time zones, helping improve collaboration.

Strong English

Access candidates with certified English proficiency. Plus we screen the best talent for your roles, helping you save time.

Seamless Work Culture

Our proven hiring process ensures you get candidates who are a strong cultural and professional fit, helping increase retention.

Lower Operational Costs

LatAm salaries are 30-70% below US market. Hire the top 1% while keeping your hiring budget in check. It’s a win-win situation.

How Near's Proven Hiring Process Works

Discovery Session

We delve into your hiring goals, whether it's building a nearshore team, high-volume hiring, executive search, etc. Together, we outline role requirements, discuss talent markets, and compensation ranges.

Kick-Off Call

Meet your dedicated recruiter to fine-tune the candidate profile and create an effective hiring journey. We focus on a streamlined process to secure top talent that meets your objectives.

Interviews and Hiring

Within just 3 days, receive profiles of handpicked candidates. Conduct interviews to find the best fit. Given our pool of high-quality candidates, your toughest decision will be choosing who to hire.

a close up of a black and white striped wallpaper with a clock
21 Days to Fill Open Positions

After You Hire

Onboard, pay, retain

We support you through the onboarding process and advise on strategies to pay and retain your top remote talent, setting up both you and your new hire for success.

arrows pointing to the left bottom on a black background

Ongoing support & team expansion

Get continuous support after you make a hire. As your business grows, we're ready to assist with team expansion, including high-volume hiring, executive search, and more.

Interview for Free
arrow right
shield icon

Zero-risk hiring. If you don't make a hire, you don't pay anything.

All in cost, simple monthly fee

Data Engineer

  • Degree in Computer Science or similar
  • 3+ years of experience
  • Experience with Back-End programming languages such as Python, Java, Scala, or Go
  • Knowledge of SQL and NoSQL databases

Sr. Data Engineer

  • Degree in Computer Science or similar
  • 5+ years of experience
  • Proficient skills with Back-End programming languages such as Python, Java, Scala, or Go
  • Strong knowledge of SQL and NoSQL databases
  • Experience with cloud-based computing platforms like AWS, GCP or Azure

Data Engineering Manager

  • Advanced Degree in Computer Science or similar
  • 10+ years of experience
  • Team management experience under Scrum or other Agile frameworks
  • Experience with Back-End programming languages such as Python, Java, Scala, or Go
  • Proficient skills with SQL and NoSQL databases

What Leading Enterprises Say About Near

Sumner Vanderhoof

Sumner Vanderhoof

Co-founder / CEO

Propensity

"

Near was a game-changer for our business hiring strategy. We reduced our burn rate and quadrupled our team skill level with marketing talent from LatAm.

"
Joshua Thompson

Joshua Thompson

Partner and COO

Kordis

"

Near provides an easy hiring experience. They saved me a lot of time handling all the posting, sourcing, screening, and initial interviews. All I have to do is conduct final interviews to ensure cultural alignment. I made a hire in only 14 days.

"
Deanna Hunt

Deanna Hunt

Global Senior Sales Recruiter

Metabolic Living

"

Near helped us double the size of our sales force in four months. We hired top talent, injecting fresh energy and expertise into our team, Near's team was very responsive and knowledgeable.

"
Conor Chamness

Conor Chamness

Head of M&A

Dura Software

"

Near was a low-risk, high ROI way to source finance talent. In under two weeks, we hired a Corporate Development Analyst with an MBA and managed to hit our acquisition goal for the year.

"
Tom Elliott

Tom Elliott

Vice President of Product Management

Bonfire

"

It was shocking to see the difference between the talent Near brought versus other firms I worked with. Our hires are extraordinary and a great cultural fit.

"
Adrian Alfieri

Adrian Alfieri

Founder & CEO

Verbatim

"

It really just felt like Near was embedded in our team. It felt like we’d hired an in-house recruiter. This made my job really easy.

"
Carmen Lopez

Carmen Lopez

Recruiter

Tribu

"

The experience was nothing short of exceptional. From start to finish, the entire process was remarkably smooth, and the team at Near played a pivotal role in making our hiring journey a success.

"
Kimberly Gonzalez

Kimberly Gonzalez

Operations Manager

Vanreusel Ventures

"

Near takes care of the entire hiring process for us. All we have to do is interview the best 3 candidates and decide.

"
Anton Lipkanou

Anton Lipkanou

President / Head of Client Services

DELVE

"

Near’s team gave us confidence that we’d hire great talent quickly. They did a deep dive into our requirements, asked the right questions, and communicated our needs and goals back to us. They advised us on compensation, different talent markets, and our hiring process.

"
Sydney Archer

Sydney Archer

VP of Business Ops

Digital Wildcatters

"

We had a seamless and impressive experience with Near. Their team was helpful and thorough, ensuring we received the most qualified talent for the position we were looking for. We filled the role within 2 weeks! We will be using Near for all of our remote hiring needs.

"
Frequently asked questions

What industries do your Data Engineers have experience in?

Data Engineers on Near have worked in a wide variety of industries including education, fintech, hospitality, tourism, crypto, finance, social networks, cybersecurity, and more. We've even placed Engineers for companies in niche industries.

Do your candidates have experience interacting with clients in English?

Yes, most Data Engineer candidates on Near have previous US-company work experience (or experience in local companies that work with US clients). They are comfortable working with and interacting with clients and teammates in English on a regular basis.

How do I know I can trust your candidates?

Resumes can lie! We pre-vet and screen all of our candidates for English proficiency, skills, and work experience. We conduct reference calls and international criminal background checks. We’ll do our best to find a teammate you can stay with for the long term.

How does your pricing work?

We charge a monthly fee per hire which changes slightly dependent on the role. We can provide an exact quote once we have requirements for the role you're looking to fill. You don't pay us anything unless you make a hire.

What roles can I hire for?

We specialize in the following categories: Finance & Accounting, Marketing, Customer Support & VAs, Sales, and Software Engineering. We've successfully placed candidates ranging from Virtual Assistants and PhD Data Scientists in under 3 weeks. We only help hire LatAm talent. It's our specialty and we do it well.

How do I pay candidates?

You can pay through us, use an in-house solution, or we can connect you with one of our global hiring partners.

Do I need to sponsor candidates / issue a work Visa to hire in LatAm?

You don't. Candidates are not US-based and therefore don't need a visa/sponsorship to work.

a white and yellow background with a diagonal triangle

Discover Why Hiring in LatAm is a Cheat Code. Download our FREE Guide Now.