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Entry Level Azure Data Factory Jobs in Philadelphia, PA

Azure Data Engineer

Hamilton, NJ · On-site

$113K - $136K/yr

Build and optimize ETL/ELT workflows using PySpark, Python, SQL, and Azure Data Factory/Fabric . * Integrate and manage data across platforms such as Snowflake, Delta Lake, and Azure Storage

Data Engineer

Philadelphia, PA

$115K - $138K/yr

Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS) to ingest, process, and deliver data from sources such as APIs ...

Data Engineer

Wilmington, DE

$111K - $133K/yr

Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS) to ingest, process, and deliver data from sources such as APIs ...

... Azure Data Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow - Enhancing Cloud ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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Entry Level Azure Data Factory information

See Philadelphia, PA salary details

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How much do entry level azure data factory jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for entry level azure data factory in Philadelphia, PA is $58.93, according to ZipRecruiter salary data. Most workers in this role earn between $53.37 and $66.20 per hour, depending on experience, location, and employer.

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The most popular types of Azure Data Factory jobs in Philadelphia, PA are:

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For Entry Level Azure Data Factory jobs in Philadelphia, PA, the most frequently searched job titles are:

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What cities near Philadelphia, PA are hiring for Entry Level Azure Data Factory jobs?

Cities near Philadelphia, PA with the most Entry Level Azure Data Factory job openings:

Azure Data Engineer

Tech Tammina LLC

Hamilton, NJ • On-site

$113K - $136K/yr

Contractor

Re-posted 10 days ago


Job description

Role: Azure Data Engineer

Location: Hamilton, NJ (4 days onsite)

Duration: Long term

Responsibilities

  • Design and develop data pipelines using Azure Data Services and Databricks.
  • Build and optimize ETL/ELT workflows using PySpark, Python, SQL, and Azure Data Factory/Fabric.
  • Integrate and manage data across platforms such as Snowflake, Delta Lake, and Azure Storage.
  • Support analytics and AI/ML use cases with clean, reliable, and scalable data models.
  • Collaborate with stakeholders to translate business needs into technical solutions.

Required Skills

  • Strong experience in Azure Data Engineering.
  • Hands-on expertise with Databricks, PySpark, Python SQL.
  • Experience with Azure Fabric, Snowflake, and modern data architectures.
  • Solid understanding of cloud data pipelines, performance tuning, and data governance.
  • Strong communication and stakeholder collaboration skills.