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Latin America Amazon Jobs (NOW HIRING)

Fractal River

Data Engineer (Remote - Latin America)

$117K - $140K/yr

Our work spans cloud infrastructure across Amazon, Google, and Microsoft platforms, integrating systems throughout the customer journey including HubSpot, Salesforce, and Zendesk. Beyond ...

Nelo Mobile

Data Scientist (NYC, L5/L6)

New York, NY · On-site

$180K - $230K/yr

Our mission is to increase consumers' buying power in Latin America, and we do so by building a ... Our lean team includes experienced leaders from top technology companies such as Uber, Amazon ...

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How much do latin america amazon jobs pay per year?

As of Jun 12, 2026, the average yearly pay for latin america amazon in the United States is $54,825.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,500.00 and $60,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals working in the Latin America Amazon team at Amazon, and how can candidates prepare for them?

Professionals in the Latin America Amazon team often navigate a fast-paced environment where they must adapt to diverse markets, cultural differences, and rapidly changing business landscapes. Challenges can include managing cross-border logistics, understanding regional consumer behavior, and working within varying regulatory frameworks. Candidates can prepare by developing strong cross-cultural communication skills, staying updated on local market trends, and demonstrating flexibility and a proactive approach to problem-solving. Collaborating effectively with remote teams across different countries is also essential for success in this region.

What jobs are in demand?

In Latin America, demand is high for roles such as warehouse associates, delivery drivers, customer service representatives, and IT support staff. Skills in logistics, e-commerce platforms, and language proficiency are often required, with many positions offering remote or flexible schedules.

What are the key skills and qualifications needed to thrive as a Latin America Amazon Account Manager, and why are they important?

To thrive as a Latin America Amazon Account Manager, you need strong skills in e-commerce strategy, sales analytics, and marketplace management, often supported by a degree in business or marketing. Familiarity with Amazon Seller Central, analytics tools, and CRM platforms is typically required. Excellent communication, cultural awareness, and problem-solving abilities help build strong client relationships and navigate regional market nuances. These skills ensure successful account growth, customer satisfaction, and effective adaptation to the fast-evolving Latin American e-commerce landscape.

Does Amazon have jobs in Mexico?

Amazon offers a variety of jobs in Mexico, including roles in fulfillment centers, customer service, and corporate offices. Job seekers can find opportunities through Amazon's official careers website, which provides details on location-specific openings and required qualifications.

What is a Latin America Amazon job?

A Latin America Amazon job refers to a role within Amazon that is based in or focused on the Latin American market. These positions can span a variety of functions, such as operations, logistics, marketing, software development, and customer service, and may be located in countries like Brazil, Mexico, or Colombia. Employees in these roles help drive Amazon’s growth and customer experience in the region by adapting global strategies to local markets, managing regional supply chains, and supporting local customers. The jobs may require fluency in Spanish or Portuguese, knowledge of the local business environment, and a passion for innovation.

What is the difference between Latin America Amazon vs Latin America Amazon Associate?

AspectLatin America AmazonLatin America Amazon Associate
Required CredentialsHigh school diploma or equivalent, sometimes relevant experienceHigh school diploma or equivalent, no specialized certifications typically required
Work EnvironmentWarehouse, fulfillment centers, or office settingsRemote or on-site, primarily warehouse or fulfillment centers
Employer & Industry UsageAmazon's regional operations in Latin AmericaAmazon's affiliate or partner programs in Latin America
Common Search & ComparisonRoles involving logistics, operations, or managementEntry-level, logistics, or customer service roles

Latin America Amazon refers to roles within Amazon's regional operations, often involving logistics or management. Latin America Amazon Associate typically describes entry-level or affiliate roles, focusing on customer service or warehouse work. While both are part of Amazon's ecosystem, they differ in responsibilities, credentials, and work environment.

How much does Amazon pay in Colombia?

Amazon's pay in Colombia varies depending on the role, location, and experience level. Entry-level positions such as warehouse associates typically start around the local minimum wage, while technical or specialized roles may offer higher salaries. Compensation is often complemented by benefits like health insurance and flexible schedules.

Does Amazon work in Latin America?

Amazon offers employment opportunities in Latin America across various roles, including warehouse, customer service, and corporate positions. The company operates fulfillment centers and offices in several countries in the region, and job seekers can apply through Amazon's regional career portals or job boards.
Data Engineer (Remote - Latin America)

Data Engineer (Remote - Latin America)

Fractal River

Remote

$117K - $140K/yr

Full-time

PTO

Posted 18 days ago

Job description

Fractal River is a consulting firm that helps companies scale faster by building robust technical and operational infrastructure. We do this by working hands-on with our clients to build the systems they need to scale, while at the same time transferring knowledge and helping them develop their own internal capabilities.
We work with a diverse range of companies-from fast-growing startups to well-established organizations-who need to build or modernize their data and analytics infrastructure. We leverage the right tools and latest technologies to balance technical rigor with flexibility based on our customers' unique needs. Our work spans cloud infrastructure across Amazon, Google, and Microsoft platforms, integrating systems throughout the customer journey including HubSpot, Salesforce, and Zendesk.
Beyond infrastructure, we help companies establish strong data foundations: ensuring data quality, implementing governance frameworks, defining metrics that align with business logic, creating centralized data models, and establishing sources of truth. This ensures our clients not only have visibility into their data but can trust the numbers across all reporting layers.
We incorporate and leverage AI at all levels of our company: helping clients create AI-centric products, creating and deploying AI agents along their customer journey, implementing AI-based support systems for internal users, and maximizing the use of AI for development processes.
We are seeking a Software and Data Engineer to join our team.
What you'll do:
  • Help design and implement data pipelines and analytic infrastructures with the latest technologies.
  • Create and deploy AI tools and agentic infrastructure to enhance both client and internal capabilities.
  • Build data warehouses using tools like dbt, working with platforms such as Snowflake, Redshift, and BigQuery.
  • Create beautiful dashboards and reports, and work with customers to create self-service data exploration capabilities.
  • Build data pipelines and integrations to connect systems, automate processes, and ensure data flows seamlessly across platforms.
  • Leverage APIs from multiple systems to extract and update data, trigger and monitor processes, and in general help tie our customers' infrastructures into cohesive platforms that power their growth.
  • Maintain and oversee cloud infrastructure to ensure it runs with the reliability and performance our customers expect.
  • Help create data models, establish data governance frameworks, define metrics, and ensure data quality across reporting layers.
  • Develop technical documentation and best practices for our customers.
  • Drive internal improvement initiatives by identifying opportunities for efficiency gains, discovering new best practices, and proposing internal projects that enhance our capabilities and processes.
  • Contribute to our evolving DevOps and DataOps practices, helping shape how we work as we continuously improve.
  • Coordinate projects, activities, and tasks to ensure objectives and key results are met.
  • Identify opportunities, generate innovative solutions, and improve existing product features.

Who we are looking for:
Our ideal candidate is someone with 1-5 years of working experience in fast-paced environments, a high tolerance for ambiguity, and a passion for constant learning. We're looking for motivated, highly adaptive people who enjoy the challenge of working with brilliant people in multiple innovative companies to put in place technical infrastructures that power their growth. They must be able to interact with customers and perform not only technical work but also understand needs, extract requirements, and design and propose solutions.
Beyond technical skills, we're looking for someone who is:
  • Curious and driven to learn: You seek out knowledge, ask questions, and view ambiguity as an opportunity to explore.
  • Proactive and a self-starter: You take initiative, anticipate what's coming, and actively identify ways of accomplishing tasks.
  • Comfortable with Python and SQL fundamentals, but more importantly, you know when and how to leverage AI tools to accelerate your work while maintaining quality and understanding.
  • Eager to leverage AI tools (ChatGPT, Claude, Gemini, etc.) to fuel creativity and problem-solving-not to replace your deliverables, but to expand your thinking and improve them. You understand AI's limitations and know the boundaries to ensure delivery of proper work.
  • Collaborative and communicative, able to work with customers and team members effectively.
  • Adaptable: Thrives in environments with constant iteration and welcomes creative solutions to challenging problems.
  • Process-minded: Capable of developing and improving best practices in data, DevOps, and AI-assisted workflows. You naturally spot opportunities for improvement in both client and internal processes.
  • Detail-oriented: You have strong attention to detail and care about the quality of your work.

We value learning agility and the ability to understand what you're building over being an expert in every tool. If you understand the fundamentals and know how to leverage AI to accelerate your learning and implementation, you'll thrive here.
English Language Requirements:
CEFR level C1 (Advanced) means you can:
  • Understand a wide range of demanding, longer texts and recognize implicit meaning
  • Express yourself fluently and spontaneously without much obvious searching for expressions
  • Use language flexibly and effectively for social, academic, and professional purposes
  • Produce clear, well-structured, detailed text on complex subjects

Nice-to-have's (not required):
  • Familiarity with data warehouses like Snowflake, Redshift, or BigQuery
  • Experience with data modeling, data governance, and creating complex visualizations
  • Experience with BI tools such as Looker, Sigma, or Power BI
  • AWS/GCP/Azure services knowledge
  • Experience with development tools such as Terraform, Docker, CircleCI, and dbt
  • Certifications (AWS, Google Professional Data Engineer, etc.)
  • Knowledge of Google Analytics, Salesforce, HubSpot, and/or Zendesk
  • Comfort working in non-hierarchical, diverse work environments
  • Bachelor's degree in computer science or similar field

Besides the benefits that, as per law, you are entitled to, we offer:
  • Personal development plan with an accelerated career track.
  • Access to an extensive reference library of books, case studies, and best practices.
  • Unlimited access to AI tools (ChatGPT, Claude, Gemini, etc.)
  • Unlimited budget for work-related books.
  • Online training (Udemy, nanodegrees, etc.), English language training.
  • Stretch assignments, pair programming, and code reviews with new technologies.
  • Yearly performance bonus based on personal performance.
  • Yearly success bonus based on company performance.
  • Home office setup including fast internet, large monitor, and your favorite keyboard and mouse. After a few months, gaming chair, espresso maker, standing desk, and speakers (or other items like these).
  • Monthly wellness budget to cover items such as sodas, tea, snacks, pet care, yoga, or other wellness-related items.
  • Company card for wellness budget and company expenses.
  • Three floating holidays and unlimited (but reasonable) PTO starting the first year.
  • Fun company off-sites!

We are proud to be an equal opportunity employer.

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