Remote Senior Azure Data Engineer – Data Lake & Pipelines

Eliassen Group; Indianapolis (IN); Remote; USD 156,000 - 177,000; Full time

Benefits offered by this job

Medical, Dental, Vision

401k with company matching

Life insurance

Job summary

Eliassen Group is seeking a Senior Azure Data Engineer to modernize an enterprise data platform by migrating from on-prem Oracle/DataStage to a cloud-based Azure data lake architecture. You will design and build scalable pipelines with Databricks and Data Factory, guiding data architecture and engineering best practices while ingesting data from diverse sources.

This contract-to-hire role emphasizes hands-on development with collaboration across engineers, architects, analysts, and business

Qualifications

• Strong hands-on data engineering in enterprise settings.
• Proven 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 architectures (Bronze/Silver/Gold).
• Experience with relational databases and large datasets.
• Understanding of data modeling, partitioning, and performance optimization.
• Experience with Git or similar version-control; CI/CD and automated deployment.

Responsibilities

• Design, develop, test, and maintain data pipelines using Azure Databricks and Azure Data Factory.
• Support migration of data and ETL workloads from on-premises Oracle/DataStage to Azure cloud data lake.
• Develop scalable ingestion, transformation, and data-processing solutions.
• Design and implement medallion architecture patterns across Bronze, Silver, Gold layers.
• Build data-quality, reconciliation, and validation checks into data pipelines and workflows.
• Automate validation and testing to improve data product reliability.
• Guide technical discussions on data architecture, solution design, and standards.
• Troubleshoot pipeline failures and data-quality issues.
• Collaborate with engineers, analysts, architects, and business stakeholders to translate requirements.
• Participate in code reviews, documentation, testing, deployment, and continuous-improvement.

Skills

Azure Databricks

Azure Data Factory

SQL

Python/PySpark

ETL/ELT

Data modeling

CI/CD

Git

Data quality

Diagnostics

Tools

Azure DevOps

Delta Lake

Databricks features

CI/CD tooling

Job description

Eliassen Group is seeking a Senior Azure Data Engineer to modernize an enterprise data platform by migrating from on-prem Oracle/DataStage to a cloud-based Azure data lake architecture. You will design and build scalable pipelines with Databricks and Data Factory, guiding data architecture and engineering best practices while ingesting data from diverse sources.

This contract-to-hire role emphasizes hands-on development with collaboration across engineers, architects, analysts, and business