Azure Data Engineer — Remote Data Lake & Pipelines Expert

Eliassen Group

Cheyenne (WY)

Remote

USD 90,000 - 103,000

Part time

5 days ago
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Benefits offered by this job

Medical, Dental, Vision benefits
401k with company match
Life insurance

Job summary

Eliassen Group seeks an Azure Data Engineer for a remote contract to modernize an enterprise data platform by migrating Oracle/DataStage workloads to Azure data lake and medallion layers. You will design and build scalable pipelines with Azure Databricks and Azure Data Factory, implement data-quality checks, and collaborate with engineers, analysts, and stakeholders.

Requirements include hands-on data engineering in enterprise environments, strong SQL and Python/PySpark, and experience with

Qualifications

  • Hands-on data engineering in enterprise environments.
  • Strong SQL and Python or PySpark development skills.
  • Experience designing and developing batch data pipelines and ETL/ELT workflows.
  • Experience implementing data-quality, data-validation, and reconciliation processes.
  • Knowledge of medallion or lakehouse architecture (Bronze/Silver/Gold).
  • Experience with relational databases and large datasets.

Responsibilities

  • Design, develop, test, and maintain data pipelines using Azure Databricks and Azure Data Factory.
  • Support migration of data/workloads from on-premises Oracle/DataStage to Azure 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 data reliability.
  • Troubleshoot pipeline failures and performance issues.
  • Collaborate with engineers, analysts, architects, and stakeholders to translate requirements.

Tools

Azure Databricks
Azure Data Factory

Job description

Eliassen Group seeks an Azure Data Engineer for a remote contract to modernize an enterprise data platform by migrating Oracle/DataStage workloads to Azure data lake and medallion layers. You will design and build scalable pipelines with Azure Databricks and Azure Data Factory, implement data-quality checks, and collaborate with engineers, analysts, and stakeholders.

Requirements include hands-on data engineering in enterprise environments, strong SQL and Python/PySpark, and experience with

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