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Latin America Data Engineer Jobs (NOW HIRING)

Bluelight Consulting

$94K - $113K/yr

With a presence across the United States and Central/South America, Bluelight is in an exciting ... Writes unit/integration tests, contributes to engineering wiki, and documents work. * Performs data ...

Bluelight Consulting

With a presence across the United States and Central/South America, Bluelight is in an exciting ... Writes unit/integration tests, contributes to engineering wiki, and documents work. * Performs data ...

Fractal River

Data Engineer (Remote - Latin America)

$117K - $140K/yr

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 ...

Bluelight Consulting

$94K - $113K/yr

... America, Bluelight is in an exciting phase of expansion, continually seeking exceptional talent to join its dynamic and diverse community. As an ETL Data Engineer, you will play a critical role in ...

Bluelight Consulting

$134K - $161K/yr

... America, Bluelight is in an exciting phase of expansion, continually seeking exceptional talent to join its dynamic and diverse community. As an ETL Data Engineer, you will play a critical role in ...

Arthrex

Clinical Specialist - Latin America

Naples, FL · On-site

Clinical Specialist - Latin America Arthrex is a global medical device company and leader in ... Interface with Product Management and Engineering Departments to provide pertinent design criteria ...

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All JobsLatin America Data Engineer Jobs

Latin America Data Engineer information

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$44.5K

$129.7K

$177.5K

How much do latin america data engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for latin america data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Data Engineers working with Latin America-specific datasets?

Data Engineers focusing on Latin America often encounter challenges such as integrating data from diverse sources with varying formats, managing data quality issues due to inconsistent regional reporting standards, and handling language localization (Spanish, Portuguese) in data pipelines. Additionally, navigating country-specific data privacy regulations and ensuring compliance can add complexity to data handling processes. Collaborating closely with regional stakeholders and staying updated on local data governance requirements are key to overcoming these challenges.

What does a Latin America Data Engineer do?

A Latin America Data Engineer is responsible for designing, developing, and maintaining data systems and pipelines that support business operations and analytics focused on Latin American markets. They work with large volumes of data from various sources, ensuring data is cleaned, organized, and accessible for analysis. These professionals often collaborate with local teams to understand regional data needs, manage data integration, and ensure compliance with local data regulations. Their work enables organizations to make data-driven decisions specific to Latin America.

What are the key skills and qualifications needed to thrive as a Latin America Data Engineer, and why are they important?

To thrive as a Latin America Data Engineer, you need strong expertise in data modeling, ETL processes, SQL, and programming languages like Python or Scala, often supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS, GCP, or Azure), big data tools (like Hadoop or Spark), and data warehousing solutions is typically required, along with relevant certifications. Excellent problem-solving skills, attention to detail, and the ability to communicate effectively across multicultural teams are valuable soft skills. These capabilities are essential for ensuring data accuracy, scalability, and collaboration across diverse business environments in the Latin American region.
Infographic showing various Latin America Data Engineer job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 63% Full Time, 29% Part Time, and 7% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Data Engineer - Remote, Latin America

Data Engineer - Remote, Latin America

Bluelight Consulting

On-site, Remote

$94K - $113K/yr

Full-time

Posted 6 days ago

Job description

Bluelight Consulting is a leading software consultancy dedicated to designing and developing innovative technology that enhances users' lives. With a steadfast commitment to delivering exceptional service to our clients, Bluelight excels in its focus on quality and customer satisfaction. Our mission is not only to create cutting-edge applications but also to foster a collaborative and enriching work environment where each team member can grow and thrive. With a presence across the United States and Central/South America, Bluelight is in an exciting phase of expansion, continually seeking exceptional talent to join its dynamic and diverse community.

We are looking for a skilled individual to join our rapidly growing team at Bluelight Consulting. This position is ideal for someone who thrives in a fast-paced, dynamic environment where everyone's opinions and efforts are valued and appreciated. You will have the opportunity to contribute to challenging and meaningful projects, developing high-quality applications that stand out in the market. We value continuous learning, personal growth, and hard work, offering a collaborative environment that promotes professional development. If you are passionate about software development and eager to be part of a growing software consultancy, we invite you to apply and join us on this exciting journey.
What we are looking for
  • Experience with AWS services including but not limited to S3, Athena, EC2, EMR, and Glue.
  • Ability to solve any ongoing issues with operating the cluster.
  • Experience with the integration of data from multiple data sources.
  • Experience with various database technologies such as SQLServer, Redshift, Postgres, and RDS.
  • Experience with one or more of the following data integration platforms: Pentaho Kettle, SnapLogic, Talend OpenStudio, Jitterbit, Informatica PowerCenter, or similar.
  • Knowledge of best practices and IT operations in an always-up, always-available service.
  • Experience with or knowledge of Agile Software Development methodologies.
  • Excellent problem-solving and troubleshooting skills.
  • Excellent oral and written communication skills with a keen sense of customer service.
  • Experience with collecting/managing/reporting on large data stores.
  • Awareness of Data governance and data quality principles.
  • Well-versed in Business Analytics including basic metric building and troubleshooting.
  • Understand Integration architecture: application integration and data flow diagrams, source-to-target mappings, data dictionary reports.
  • Familiar with Web Services: XML, REST, SOAP.
  • Experience with Git or similar version control software.
  • Experience with integrations with and/or use of BI tools such as GoodData (preferred), Tableau, PowerBI, or similar.
  • Broad experience with multiple RDBMS: MS SQLServer, Oracle, MySQL, PostgreSQL, Redshift.
  • Familiarity with SaaS/cloud data systems (e.g. Salesforce).
  • Data warehouse design: star-schemas, change data capture, denormalization.
  • SQL/DDL queries/Tuning techniques such as indexing, sorting, and distribution.
  • BS or MS degree in Computer Science or a related technical field.
  • 3+ years of Data Pipeline development such as SnapLogic or Datastage, Informatica, or related experience.
  • 3+ years of SQL experience (No-SQL experience is a plus).
  • Experience designing, building, and maintaining data pipelines.
What you'll be doing
  • Develop and maintain data models for core package application and reporting databases to describe objects and fields for support documentation and to facilitate custom application development and data integration.
  • Monitoring execution and performance of daily pipelines, triage and escalate any issues.
  • Collaborates with analytics and business teams to improve data models and data pipelines that feed business intelligence tools, increasing data accessibility and fostering data-driven decision-making across the organization.
  • Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes.
  • Writes unit/integration tests, contributes to engineering wiki, and documents work.
  • Performs data analysis required to troubleshoot data-related issues and assist in the resolution of data issues.
  • Work within AWS/Linux cloud systems environment in support of data integration solution
  • Works closely with a team of frontend and backend engineers, product managers, and analysts.
  • Teamwork: Collaborate with team members. Share knowledge, provide visibility of interpersonal accomplishments and follow directions when provided.
Company Benefits
  • Competitive salary and bonuses, including performance-based salary increases.
  • Generous paid-time-off policy
  • Flexible working hours
  • Work remotely
  • Continuing education, training, conferences
  • Company-sponsored coursework, exams, and certifications
Being a consultant in our team is a fun, challenging, and rewarding career choice. Your contributions are highly valued by clients, and the work you do often has a direct and significant impact on their business.
You will have the opportunity to work on a variety of projects for our incredible clients, which will accelerate your career growth. You'll collaborate with modern technologies and work alongside some of the best professionals in the industry!
If you're eager to be part of an exciting, challenging, and rapidly growing consultancy, we encourage you to apply. #LI-Remote
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