Remote Data Engineer: Databricks + Fabric Lakehouse

Jobgether; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Fully remote from Brazil

International exposure

Advanced technology stack

Professional development

Client-facing experience

Job summary

Jobgether is hiring a senior data engineering specialist to design, implement, and operate production-grade data platforms for diverse clients. You will build scalable ETL/ELT pipelines with Databricks and Microsoft Fabric, implementing Bronze/Silver/Gold Medallion architectures using Delta Lake and Unity Catalog for governance.

You will work across the Fabric ecosystem, automate deployments with CI/CD and IaC, and ensure secure, high-performance platforms while collaborating with clients and

Qualifications

• Experience implementing and managing Databricks solutions in production environments.
• Strong experience with PySpark, Delta Lake, Databricks Workflows, and Unity Catalog, including data lineage.
• Designing Medallion architectures (Bronze/Silver/Gold) in production environments.
• Hands-on experience with Microsoft Fabric across its full platform (Lakehouse, OneLake, Data Pipelines, Notebooks, Dataflows Gen2, Warehouse).
• Advanced SQL and Python skills for data transformation and processing.
• Knowledge of data governance, lakehouse architectures, and production data platform management.
• Experience building automated deployment workflows using CI/CD and IaC.
• Current Microsoft DP-900 or DP-700 cert with commitment to obtain remaining certs within 60 days.

Responsibilities

• Design, develop, deploy, and maintain production-grade data platforms for clients.
• Build scalable ETL/ELT pipelines using Databricks and Microsoft Fabric.
• Implement Medallion architectures Bronze/Silver/Gold with Delta Lake.
• Develop data processing solutions using PySpark, Python, SQL, and Fabric components.
• Establish and enforce data governance with Unity Catalog and data quality practices.
• Work across the Fabric ecosystem including Lakehouse, OneLake, and Data Pipelines.
• Automate deployment via CI/CD and IaC.
• Ensure platforms are scalable, secure, and high-performing.
• Translate business and technical requirements with clients and teams.
• Identify opportunities to improve architectures and workflows.
• Suggest enhancements to drive additional engagements.

Skills

English communication

Spanish communication

Analytical thinking

Problem solving

Cross-team collaboration

Hands-on approach

Tools

Databricks

Delta Lake

Databricks Workflows

Unity Catalog

Microsoft Fabric

CI/CD

Infrastructure as Code

Notebooks/Dataflows Gen2

Job description

Jobgether is hiring a senior data engineering specialist to design, implement, and operate production-grade data platforms for diverse clients. You will build scalable ETL/ELT pipelines with Databricks and Microsoft Fabric, implementing Bronze/Silver/Gold Medallion architectures using Delta Lake and Unity Catalog for governance.

You will work across the Fabric ecosystem, automate deployments with CI/CD and IaC, and ensure secure, high-performance platforms while collaborating with clients and