There is a wealth of Data Engineer talent in LatAm.
Leverage our pool of 15k+ candidates and hire excellent talent affordably and quickly.
Near can help you
- Save 30-70% on salaries
Lower-cost, motivated candidates.
- Hire quickly - 10x Faster
Typically in under 20 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.
Junior — Junior Data Engineers have 1-2 years of experience or less.
Mid-level/Semi-senior — Mid-level Data Engineers have 3-5 years of experience.
Senior — Senior Data Engineers have 5 years of experience or more.
Head/C-level /Managers/ VPs — Managers / VPs Data Engineers have 7+ years of experience in management roles.
Teammates, not resources.
US Time Zones
Hire teammates, not offshore resources. Near candidates work in US time zones.
Candidates verify their English level on sign-up. Plus, our recruiters filter the best apps for your job to save you time.
Seamless Work Culture
Leverage a set of processes tailored to manage remote onboarding, compliance, and payroll.
Lower Operational Costs
LatAm salaries are 30-70% below US market. It’s a win-win situation.
How it works
If you don’t hire, you don’t pay a cent.
No upfront or hidden fees.
We'll discuss your hiring needs and help finish crafting any Job Descriptions.
Review and Interview
We'll post your job on our platform and our recruiters will send qualified apps your way. We integrate with your hiring process.
No need to set up an entity, deal with international payments, or ship equipment. Near does it all for you.
All in cost, simple monthly fee
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
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.
We felt confident in the competence of Near’s team. Is the person on the other side digging deep? Are they asking the right questions? Can they explain back to me what I should expect? Your team gave us all of that.
We were determined to work with global talent in our local time zone, and Near has been a fantastic way to find talented Latin American team members.
I actually ran ads at the same time on We Work Remotely and RemoteOK, and it was shocking to see the difference.
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 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.
How do I know I can trust your candidates?
We pre-vet all of our candidates for English fluency and clean resumes. We run reference calls and international criminal background checks. We’ll do our best to find a teammate you can stay with for the long term!