Data Engineer - Remote, Latin America

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Engineer in Latin America.

As a Data Engineer, you will play a key role in designing, building, and maintaining data pipelines and integration solutions that power critical business decisions. You will work in a fast-paced, collaborative environment, supporting cross-functional teams by ensuring data is accurate, accessible, and optimized for analysis. Your contributions will directly impact the efficiency and reliability of data-driven processes, enabling stakeholders to make informed decisions. This role provides the opportunity to work with modern cloud platforms, large-scale databases, and business intelligence tools, while continuously improving data quality, performance, and accessibility across the organization.

Accountabilities

• Develop, maintain, and optimize data pipelines and integration workflows to support analytics and business intelligence needs.
• Design and maintain data models, ensuring accurate documentation of objects, fields, and relationships.
• Monitor data pipeline execution and performance, triaging and escalating issues as necessary.
• Collaborate with analytics, product, and engineering teams to improve data models, pipeline efficiency, and data accessibility.
• Implement processes for data quality monitoring and validation to ensure reliable production data.
• Perform data analysis to troubleshoot and resolve issues, supporting accurate reporting and decision-making.
• Document processes, contribute to engineering wikis, and write unit/integration tests to maintain system reliability.
• Work within cloud environments (AWS/Linux) and integrate with diverse data sources and platforms.

Requirements

• BS or MS degree in Computer Science, Engineering, or a related technical field.
• 3+ years of experience in data pipeline development using tools such as SnapLogic, Datastage, Informatica, or equivalent.
• 3+ years of SQL experience; familiarity with NoSQL databases is a plus.
• Strong knowledge of AWS services including S3, Athena, EC2, EMR, and Glue.
• Experience with database technologies such as SQLServer, Redshift, Postgres, RDS, and multiple RDBMS systems.
• Familiarity with data warehouse design, including star schemas, denormalization, and change data capture.
• Experience with data integration platforms and ETL best practices.
• Knowledge of Agile software development methodologies and IT operations for highly available services.
• Familiarity with Web Services (REST, SOAP, XML) and cloud/SaaS data systems (e.g., Salesforce).
• Experience with BI tools such as Tableau, PowerBI, or GoodData.
• Excellent problem-solving, troubleshooting, and analytical skills.
• Strong oral and written communication skills with a customer-focused mindset.

Benefits

• Competitive salary and performance-based bonuses.
• Flexible working hours and remote work opportunities.
• Generous paid-time-off policy and national holidays.
• Health coverage and wellness benefits.
• Technology/office stipend and continuing education support (training, courses, certifications, conferences).
• Collaborative and supportive work environment with opportunities for mentorship and career growth.
• Exposure to a wide variety of projects and modern technologies that accelerate professional development.