Jobgether is seeking a Data Engineer to design, build, and optimize scalable data pipelines and ETL/ELT workflows in a fully remote, collaborative environment. You will implement medallion architecture, manage batch and streaming ingestion, and create reporting-ready data models to support business and analytics needs.

What You'll Do

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.

What We're Looking For

5+ years of hands-on experience with cloud data platforms (Azure required).
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 Have

Microsoft Fabric experience strongly preferred.
Familiarity with Power BI and enterprise semantic models.
DevOps practices (CI/CD, version control).
Knowledge of finance, real estate, or investment management data domains.

Technical Stack

Azure, Microsoft Fabric, Azure Data Factory, Synapse, Dataflows
SQL, Python, PySpark

Team & Environment

You will collaborate with architects, analysts, and reporting developers.

Benefits & Compensation

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 data engineering tools and cloud platforms.
Collaborative environment that encourages continuous learning and growth.