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

We are seeking an experienced Data Engineer to design, build, and optimize scalable data pipelines and ETL/ELT workflows in a fully remote, collaborative environment. In this role, you will implement medallion architecture, manage batch and streaming ingestion, and create reporting-ready data models to support business and analytics needs. You will work closely with architects, analysts, and reporting developers while ensuring data quality, lineage, and governance standards. The ideal candidate is proactive, detail-oriented, and thrives in a fast-paced, learning-focused environment where clear communication with both technical and non-technical stakeholders is essential.

Accountabilities

· Design, implement, and maintain scalable data pipelines and ETL/ELT workflows on Azure and Microsoft Fabric.

· Implement and manage medallion architecture (Bronze, Silver, Gold layers) for data products.

· Develop data ingestion frameworks for both batch and streaming sources.

· Support creation of reporting-ready data models aligned with business requirements.

· Ensure data quality, governance, lineage, and performance optimization standards are applied.

· Collaborate with Data Architects on design decisions and provide technical guidance.

· Document pipelines, transformations, and architectural decisions for maintainability.

· Communicate complex technical concepts effectively to project managers and non-technical stakeholders.

Requirements

· 5+ years of hands-on experience with cloud data platforms (Azure required; Microsoft Fabric strongly preferred).

· Proven experience implementing medallion architecture at scale.

· Expertise in building pipelines using Azure Data Factory, Synapse, Dataflows, or Fabric Data Pipelines.

· Proficiency in SQL and at least one programming/scripting language (Python or PySpark preferred).

· Experience with data modeling for analytics and reporting (star schema, snowflake, dimensional modeling).

· Strong understanding of data governance, metadata management, and performance optimization.

· Excellent communication skills and ability to collaborate with cross-functional teams.

· Nice-to-haves: familiarity with Power BI and enterprise semantic models, DevOps practices (CI/CD, version control), and knowledge of finance, real estate, or investment management data domains.

Benefits

· Competitive monthly compensation (USD $4,000 - $5,000, depending on experience).

· Fully remote role with flexibility to work from any Latin American country.

· Opportunity to work with top-tier international clients.

· Exposure to cutting-edge data engineering tools and cloud platforms.

· Collaborative environment that encourages continuous learning and growth.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias—focusing solely on your fit for the role. Once the shortlist is completed, it is shared directly with the company. The final decision and next steps (such as interviews or additional assessments) are made by their internal hiring team.

Thank you for your interest!

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