Senior Azure Data Engineer - Remote, Contract-to-Hire

Eliassen Group; Nashville (TN); Remote; USD 103,000 - 117,000; Full time

Benefits offered by this job

Medical, Dental, and Vision

401k with company matching

Life insurance

Job summary

Eliassen Group is seeking a Senior Azure Data Engineer to help modernize an enterprise data platform by migrating data from on-prem Oracle and IBM DataStage to an Azure-based data lake.

You will design, build, and optimize scalable data pipelines using Azure Databricks and Azure Data Factory, guiding data architecture decisions and engineering best practices while collaborating with stakeholders to deliver trusted data products.

Qualifications

• Strong 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 or 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.
• Strong analytical, troubleshooting, and problem-solving skills.
• Ability to contribute directly to development while providing technical guidance to other team members.

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 environment 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 and engineering workflows.
• Automate validation and testing to improve the reliability of data products.
• Help guide technical discussions and decisions related to data architecture, solution design, and engineering standards.
• Troubleshoot pipeline failures, data-quality issues, and performance problems.
• Collaborate with engineers, analysts, architects, and business stakeholders to translate requirements into practical data solutions.
• Participate in code reviews, documentation, testing, deployment, and continuous-improvement activities.
• Promote reusable development patterns and sound engineering practices across the team.

Skills

Azure Databricks

Azure Data Factory

SQL

Python / PySpark

Data pipelines

Data modeling

CI/CD

Git

Problem solving

Tools

Azure Databricks

Azure Data Factory

Delta Lake

Databricks features

Job description

Eliassen Group is seeking a Senior Azure Data Engineer to help modernize an enterprise data platform by migrating data from on-prem Oracle and IBM DataStage to an Azure-based data lake.

You will design, build, and optimize scalable data pipelines using Azure Databricks and Azure Data Factory, guiding data architecture decisions and engineering best practices while collaborating with stakeholders to deliver trusted data products.