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There is a wealth of Data Engineer talent in LatAm.
Near can help you
Save 30-70% on salaries. We offer lower-cost, motivated candidates.
Hire quickly — 10x Faster. Typically you can hire in under 21 days.
Find the best teammates for you. Experts at building and optimizing systems to collect and manage data effectively.
Save time with pre-vetted candidates. English speaking. Comprehensive data warehousing and data lakes experience.
Near candidates are skillful professionals with excellent English proficiency and impressive work experience.
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Has 1-2 years of experience or less. Assists in data pipeline development, learns about database systems, and gains experience in data transformation.
Has 3-5 years of experience. Develops data pipelines, collaborates with data scientists, and contributes to data architecture design.
Has 5 years of experience or more. Possesses deep expertise in data engineering, optimizes data pipelines, and leads complex data integration projects.
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.
See a few of our 35k pre-vetted candidates
Data Scientist
from
Brazil
Senior Data Engineer
from
Perú
Head of Data and Analytics
from
Chile
Mid Level Data Engineer
from
Brazil
Data Scientist
from
Nicaragua
Data Scientist
from
Mexico
DataOps Engineer
from
Perú
Business Intelligence Analyst
from
Mexico
Data Engineering Manager
from
Brazil
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Junior Data Analyst
from
Argentina
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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.
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.
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.
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Zero-risk hiring. If you don't make a hire, you don't pay anything.
Top Talent, Transparent Compensation
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
4.5
k
/
Monthly
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
5.0
k
/
Monthly
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
7.0
k
/
Monthly
What Leading Enterprises Say About Near
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.
When I check with the department managers, they all say, ‘It’s like 100 out of 10.’ The talent we’ve brought in through Near has been professional, articulate, intelligent, and absolutely the right fit for our team.
We were determined to work with global talent in our local time zone, and Near helped us find great Latin American talent that has brought significant value to our team.
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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.
The talent Near provided is incredibly high quality. I worked at Google for 10 years, where the bar for talent is very high, and I would say the people I placed through Near are comparable to the people I worked with at Google.
It was our first global hire, and it was a success. Near's team guided us at every step. They connected us with highly-qualified candidates, supported us throughout the whole process, and we made a hire in under three weeks.
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.
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.
Near has allowed us to nearly double our caseload without doubling our in-office staff. I have made 9 great hires through Near in just a few short months.
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.
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.
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