Remote Azure Data Engineer — Databricks & Data Factory

Eliassen Group; Baton Rouge (LA); Remote; USD 135,000 - 156,000; Part time

Benefits offered by this job

Medical, Dental, Vision benefits

401k with company matching

Life insurance

Job summary

Eliassen Group is seeking an Azure Data Engineer to modernize an enterprise data platform by migrating workloads to a cloud-based Azure data lake. You will design scalable pipelines with Databricks and Data Factory, implement data-quality checks, and promote medallion architecture across Bronze, Silver, and Gold layers.

The role emphasizes collaboration with engineers, analysts, and business partners, plus hands-on data-platform engineering in a remote setting.

Qualifications

• Hands-on data engineering experience in enterprise environments.
• Demonstrated experience with Azure Databricks and Azure Data Factory.
• Strong SQL and Python or PySpark development skills.
• Experience designing and developing batch data pipelines and ETL/ELT workflows.
• Experience implementing data-quality, data-validation, and reconciliation processes.
• Knowledge of medallion or lakehouse architecture, including Bronze, Silver, and Gold data layers.
• Experience working with relational databases and large, complex datasets.
• Understanding of data modeling, schema design, partitioning, and performance optimization.
• Experience with Git or another version-control platform.
• Experience working with CI/CD and automated deployment practices.
• Analytical, troubleshooting, and problem-solving skills.
• Ability to contribute directly to development while providing technical guidance to other team members.
• Communication and collaboration skills.

Responsibilities

• Design, develop, test, and maintain data pipelines using Azure Databricks and Azure Data Factory.
• Support the migration of data and ETL workloads from on-premises Oracle and DataStage to Azure data lake.
• Develop scalable ingestion, transformation, and data-processing solutions.
• Design and implement medallion architecture patterns across Bronze, Silver, and Gold data layers.
• Build data-quality, reconciliation, and validation checks into pipelines and workflows.
• Automate validation and testing to improve reliability of data products.
• Troubleshoot pipeline failures, data-quality issues, and performance problems.
• Collaborate with engineers, analysts, architects, and stakeholders to translate requirements.
• Participate in code reviews, documentation, testing, deployment, and continuous-improvement.
• Promote reusable development patterns and sound engineering practices.

Skills

Azure Databricks

Azure Data Factory

SQL

Python

PySpark

ETL/ELT

Data modeling

CI/CD

Git

Tools

Azure Databricks

Azure Data Factory

Git

Azure DevOps

Job description

Eliassen Group is seeking an Azure Data Engineer to modernize an enterprise data platform by migrating workloads to a cloud-based Azure data lake. You will design scalable pipelines with Databricks and Data Factory, implement data-quality checks, and promote medallion architecture across Bronze, Silver, and Gold layers.

The role emphasizes collaboration with engineers, analysts, and business partners, plus hands-on data-platform engineering in a remote setting.