Remote Azure Data Engineer - Databricks & Data Factory

Eliassen Group; Juneau (AK); Remote; USD 90,000 - 103,000; Full time

Benefits offered by this job

Medical, Dental, Vision

401(k) with company match

Job summary

Eliassen Group is seeking an Azure Data Engineer to modernize an enterprise data platform by migrating from on-premises Oracle/DataStage to a cloud-based Azure data lake.

You will design, build, and optimize scalable data pipelines using Azure Databricks and Azure Data Factory, emphasizing data quality and governance, with collaboration across engineers, analysts, and business partners.

Qualifications

• Hands-on data engineering in enterprise environments.
• Azure Databricks and Azure Data Factory experience required.
• Strong SQL and Python/PySpark development skills.
• Experience designing batch ETL/ELT workflows.
• Data-quality, data-validation, and reconciliation knowledge.
• Familiarity with medallion/lakehouse architecture (Bronze/Silver/Gold).
• Experience with relational databases and large datasets.
• Data modeling, schema design, partitioning, and performance optimization knowledge.
• Git or similar version-control experience.
• CI/CD and automated deployment exposure.
• Analytical and problem-solving abilities.
• Ability to contribute technically while guiding others.

Responsibilities

• Design, build, test, and maintain data pipelines with Databricks and Data Factory.
• Migrate on-prem data and ETL workloads to an Azure cloud data lake.
• Develop scalable ingestion, transformation, and processing solutions.
• Implement medallion architecture across Bronze, Silver, Gold layers.
• Embed data-quality checks and validations in pipelines.
• Automate testing and validation to improve reliability.
• Troubleshoot pipeline failures and performance issues.
• Collaborate with engineers, analysts, and stakeholders to translate requirements.
• Participate in code reviews, documentation, and deployment activities.
• Promote reusable patterns and sound engineering practices across the team.

Skills

SQL

Python

PySpark

ETL/ELT

Data modeling

Git

CI/CD

communication

collaboration

problem-solving

Tools

Azure Databricks

Azure Data Factory

Medallion architecture

Azure DevOps

Job description

Eliassen Group is seeking an Azure Data Engineer to modernize an enterprise data platform by migrating from on-premises Oracle/DataStage to a cloud-based Azure data lake.

You will design, build, and optimize scalable data pipelines using Azure Databricks and Azure Data Factory, emphasizing data quality and governance, with collaboration across engineers, analysts, and business partners.