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Trainee Azure Data Factory Developer Jobs in Philadelphia, PA

Scigon Solutions

Azure Data Engineer

Camden, NJ · On-site

$97K - $130K/yr

Azure Data Engineer Salary: $97,500-$130,000 Job Summary We are seeking an experienced Azure Data ... Build and optimize ETL/ELT data pipelines using Azure Data Factory and Azure Databricks. * Develop ...

Tech Tammina LLC

Azure Data Engineer

Hamilton, NJ · On-site

$113K - $136K/yr

Role: Azure Data Engineer Location: Hamilton, NJ (4 days onsite) Duration: Long term ... Build and optimize ETL/ELT workflows using PySpark, Python, SQL, and Azure Data Factory/Fabric

Amerihealth Caritas

Data Engineer

Newtown Square, PA · Hybrid

$109K - $131K/yr

Design and implement scalable engineering solutions using Azure Data Factory, Azure Databricks, Azure Event Hubs, Kafka, HVR, Snowflake, and Azure Data Lake Storage * Pipeline Development: Build ...

BakerHostetler

Data Solutions Engineer

Philadelphia, PA · On-site

$109K - $131K/yr

... Factory, Azure SQL Database, PostgreSQL, Azure Blob Storage, Azure Data Lake Storage • Azure Synapse Analytics, Azure Databricks, Apache Spark, Apache Airflow • Azure Logic Apps, Azure DevOps, ...

Dlapiper

Data Engineer

Philadelphia, PA

$115K - $138K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure ...

Dlapiper

Data Engineer

Wilmington, DE

$111K - $133K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure ...

MHK TECH INC

Data Engineer

Malvern, PA · On-site

$112K - $134K/yr

... Data Factory, Azure Synapse, and Azure Databricks. • Develop ETL/ELT processes to ingest ... Preferred : • Experience with Azure DevOps, GitHub Actions, or other CI/CD tools. • Working ...

Winaxis

Cloud Engineer

Mount Laurel, NJ · On-site

$55.25 - $73.75/hr

... data pipelines using Azure Databricks and Azure Data Factory. - Skilled in integrating and automating workflows from heterogeneous data sources. - Hands-on programming experience with Java, Scala ...

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How much do trainee azure data factory developer jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for trainee azure data factory developer 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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Trainee Azure Data Factory Developer jobs near you
Infographic showing various Trainee Azure Data Factory Developer job openings in Philadelphia, PA as of June 2026, with employment types broken down into 53% Full Time, 5% Part Time, 1% Temporary, and 41% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $122,580 per year, or $58.9 per hour.

Azure Data Engineer

Scigon Solutions

Camden, NJ • On-site

$97K - $130K/yr

Other

Posted 5 days ago

Job description


Azure Data Engineer Salary: $97,500-$130,000 Job Summary

We are seeking an experienced Azure Data Engineer with strong Databricks expertise to design, develop, and support scalable cloud-based data solutions. This role is responsible for building and maintaining modern data platforms on Microsoft Azure and Databricks, developing robust data pipelines, and enabling analytics and reporting initiatives across the organization.

The ideal candidate will have extensive hands-on experience with Azure Databricks, Azure Data Factory, Delta Lake, Apache Spark, and Medallion Architecture. Experience with Terraform and GitHub Actions is required to support infrastructure automation, CI/CD processes, and cloud platform administration.

Key Responsibilities
  • Design, develop, and maintain scalable data platforms and solutions on Microsoft Azure.
  • Build and optimize ETL/ELT data pipelines using Azure Data Factory and Azure Databricks.
  • Develop data transformation processes leveraging Apache Spark and Delta Lake technologies.
  • Implement and maintain Medallion Architecture (Bronze, Silver, Gold layers) to support enterprise analytics and reporting needs.
  • Collaborate with business stakeholders, analysts, data scientists, and application teams to understand data requirements and deliver solutions.
  • Design and implement efficient data models that support reporting, analytics, and business intelligence initiatives.
  • Monitor, troubleshoot, and optimize data pipelines for performance, reliability, and scalability.
  • Develop and maintain CI/CD pipelines using GitHub Actions.
  • Provision and manage cloud infrastructure using Terraform and Infrastructure as Code (IaC) best practices.
  • Ensure data quality, governance, security, and compliance standards are met.
  • Provide production support and resolve issues related to data integration and platform performance.
  • Document technical designs, architectures, standards, and operational procedures.

Required Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
  • 5+ years of experience in Data Engineering or related technical roles.
  • Strong experience with:
    • Azure Databricks
    • Azure Data Factory (ADF)
    • Azure Data Lake Storage (ADLS)
    • Apache Spark (PySpark preferred)
    • Delta Lake
    • SQL and data modeling
  • Experience implementing Medallion Data Architecture.
  • Hands-on experience with Terraform for infrastructure automation.
  • Experience building CI/CD pipelines using GitHub Actions.
  • Strong knowledge of cloud-native data engineering best practices.
  • Experience working in Agile environments.
  • Excellent analytical, troubleshooting, and problem-solving skills.

Preferred Qualifications
  • Microsoft Azure certifications.
  • Experience with Azure Synapse Analytics.
  • Experience with Power BI or other analytics platforms.
  • Knowledge of data governance and data security frameworks.
  • Experience supporting large-scale enterprise data environments.

Key Competencies
  • Data Engineering
  • Cloud Architecture
  • ETL/ELT Development
  • Infrastructure as Code (Terraform)
  • CI/CD Automation
  • Data Modeling
  • Problem Solving
  • Communication and Collaboration
  • Performance Optimization
  • Stakeholder Management

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