Remote Senior Azure Data Engineer: Cloud Data Pipelines

Eliassen Group; Austin (TX); Remote; USD 103,000 - 117,000; Full time

Benefits offered by this job

Medical, Dental, Vision benefits

401k with company match

Life Insurance

Job summary

Eliassen Group is seeking a Senior Azure Data Engineer for remote cooperation in the United States. The role focuses on modernizing an enterprise data platform by migrating from on-prem Oracle/DataStage to Azure data lake architecture, using Databricks, Data Factory, and medallion layers.

The contract-to-hire position requires a W2 basis with benefits, 401k matching, and life insurance. Strong collaboration and architecture guidance are expected throughout development, testing, and deployment

Qualifications

• Hands-on data engineering in enterprise environments.
• Experience with Azure Databricks and Azure Data Factory.
• Strong SQL and Python or PySpark development skills.
• Designing batch data pipelines and ETL/ELT workflows.
• Data-quality, validation, and reconciliation practices.

Responsibilities

• Design, develop, test, and maintain data pipelines using Azure Databricks and Azure Data Factory.
• Support migration of data and ETL workloads to an Azure cloud data lake.
• Develop scalable ingestion, transformation, and data-processing solutions.
• Design and implement medallion architecture across Bronze, Silver, Gold layers.
• Build data-quality, reconciliation, and validation checks into pipelines.
• Automate validation and testing to improve reliability of data products.
• Guide technical discussions on data architecture and standards.
• Troubleshoot pipeline failures and data-quality issues.
• Collaborate with engineers, analysts, architects, and stakeholders.
• Participate in code reviews, documentation, deployment, and CI/CD.

Skills

Azure Databricks

Azure Data Factory

SQL

Python

PySpark

Data Pipelines

Data Quality

Git

CI/CD

Communication

Tools

Azure DevOps

Job description

Eliassen Group is seeking a Senior Azure Data Engineer for remote cooperation in the United States. The role focuses on modernizing an enterprise data platform by migrating from on-prem Oracle/DataStage to Azure data lake architecture, using Databricks, Data Factory, and medallion layers.

The contract-to-hire position requires a W2 basis with benefits, 401k matching, and life insurance. Strong collaboration and architecture guidance are expected throughout development, testing, and deployment