Cloud Data Engineer - Azure, Fabric & SQL Pipelines

News Corp

United States

Remote

USD 120,000 - 130,000

Full time

2 days ago
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Job summary

HarperCollins Publishers seeks a Data Engineer to join the Data Management & Engineering team in the United States. Design, build, and support enterprise data pipelines across on-prem SQL Server and Azure, enabling cloud modernization with Microsoft Fabric and Azure Data Lake.

You will translate business requirements into scalable, well‑documented data solutions, collaborate with Data Governance and stakeholders, and ensure timely delivery of critical data products and workflows.

Qualifications

  • Bachelor's degree in a technical field.
  • 3–5+ years in data engineering or enterprise data integration.
  • Experience migrating and modernizing data platforms.

Responsibilities

  • Design, develop, and maintain data pipelines across on-premises SQL Server and Azure.
  • Develop Python, PySpark, and SQL notebooks for data ingestion and processing across layered data tiers.
  • Integrate data from multiple sources including files, databases, and APIs.
  • Implement data transformations, enrichment, and business rules per specs.
  • Monitor pipelines and optimize SQL queries for performance and reliability.

Skills

SQL Server
Python / PySpark
Azure Data Factory
Microsoft Fabric
Data Modeling
ETL / ELT

Education

Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related technical discipline

Tools

Azure Data Lake Storage
Microsoft Fabric
SQL Server
ETL Tools

Job description

HarperCollins Publishers seeks a Data Engineer to join the Data Management & Engineering team in the United States. Design, build, and support enterprise data pipelines across on-prem SQL Server and Azure, enabling cloud modernization with Microsoft Fabric and Azure Data Lake.

You will translate business requirements into scalable, well‑documented data solutions, collaborate with Data Governance and stakeholders, and ensure timely delivery of critical data products and workflows.

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