Senior Azure Data Engineer: Remote Data Lake Pipelines

Eliassen Group; Frankfort (KY); Remote; USD 103,000 - 117,000; Part time

Benefits offered by this job

Medical, Dental, Vision benefits

401k with company matching

Life insurance

Job summary

Eliassen Group is seeking a Senior Azure Data Engineer to remotely modernize an enterprise data platform by migrating on-premises data warehouses to Azure cloud services. You will design and deploy scalable data pipelines with Databricks and Data Factory, guiding architecture discussions and best practices.

The role emphasizes hands-on development while shaping data architecture, with a focus on medallion layers and data quality. Hybrid collaboration with business partners is expected.

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.

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 cloud data lake.
• Develop scalable ingestion, transformation, and data-processing solutions.
• Design and implement medallion architecture patterns across Bronze, Silver, and Gold layers.
• Build data-quality, reconciliation, and validation checks into pipelines and workflows.
• Automate validation and testing to improve reliability of data products.
• Guide technical discussions on data architecture, solution design, and engineering standards.
• Troubleshoot pipeline failures and data-quality issues.
• Collaborate with engineers, analysts, architects, and stakeholders to translate requirements into data solutions.
• Participate in code reviews, documentation, testing, deployment, and continuous-improvement activities.

Skills

SQL

Python / PySpark

Data modeling

ETL / ELT development

CI / CD

Git

Problem solving

Communication

Tools

Azure Databricks

Azure Data Factory

Delta Lake

Databricks features

Job description

Eliassen Group is seeking a Senior Azure Data Engineer to remotely modernize an enterprise data platform by migrating on-premises data warehouses to Azure cloud services. You will design and deploy scalable data pipelines with Databricks and Data Factory, guiding architecture discussions and best practices.

The role emphasizes hands-on development while shaping data architecture, with a focus on medallion layers and data quality. Hybrid collaboration with business partners is expected.