Remote Azure Data Engineer - Databricks & Data Factory Specialist

Eliassen Group; Augusta (ME); Remote; USD 90,000 - 103,000; Part time

Benefits offered by this job

Medical, Dental, Vision benefits

401k with company match

Life insurance

Job summary

Eliassen Group is seeking an Azure Data Engineer to modernize an enterprise data platform by migrating data and workloads from on-premises systems to a cloud-based Azure data lake. You will design, build, and optimize scalable pipelines using Azure Databricks and Data Factory.

You will collaborate with engineers, analysts, and business partners to deliver reliable, maintainable data products with a focus on data quality, validation, and governance. This is a remote contract role in the US.

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 batch data pipelines and ETL/ELT workflows.
• Experience implementing data-quality, data-validation, and reconciliation processes.
• Knowledge of medallion or lakehouse architecture (Bronze, Silver, Gold).
• Experience with relational databases and large, complex datasets.
• Understanding of data modeling, partitioning, and performance optimization.
• Experience with Git or version-control platforms.
• Experience with CI/CD and automated deployment practices.

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 an Azure cloud 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 directly into data pipelines.
• 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 into data solutions.
• Participate in code reviews, documentation, testing, deployment, and continuous-improvement activities.
• Promote reusable development patterns and sound engineering practices.

Skills

Azure Databricks

Azure Data Factory

SQL

Python

PySpark

Data pipelines

ETL

Medallion architecture

CI/CD

Git

Azure DevOps

Tools

IBM DataStage

Oracle Database

Delta Lake

Azure Data Lake

Job description

Eliassen Group is seeking an Azure Data Engineer to modernize an enterprise data platform by migrating data and workloads from on-premises systems to a cloud-based Azure data lake. You will design, build, and optimize scalable pipelines using Azure Databricks and Data Factory.

You will collaborate with engineers, analysts, and business partners to deliver reliable, maintainable data products with a focus on data quality, validation, and governance. This is a remote contract role in the US.