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Contract Azure Data Engineer Jobs in Philadelphia, PA

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 Engineer with strong Databricks expertise to design, develop, and support scalable cloud-based data ...

Azure Data Engineer

Hamilton, NJ · On-site

$113K - $136K/yr

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 ...

Data Engineer

Newtown Square, PA · Hybrid

$109K - $131K/yr

Role Overview The Azure Data Engineer designs, builds, and optimizes large scale cloud data solutions on Microsoft Azure. The role requires deep hands on expertise with modern ingestion frameworks to ...

Data Engineer

Malvern, PA · On-site

$112K - $134K/yr

MHK TECH INC is seeking a Data Engineer to design and maintain robust data pipelines and manage ... Responsibilities : • Design, construct, and maintain robust data pipelines using Azure Data ...

... Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and ...

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 ...

Data Engineer

Wilmington, DE · On-site

$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 ...

... Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies ...

Lead Data QA

Philadelphia, PA

$130K/yr

e&e is seeking a Lead Data QA for a hybrid contract opportunity in Philadelphia, PA. The Lead Data ... CI/CD Integration Develop QA gates and automated quality checks within Azure DevOps pipelines for ...

Data Solutions Engineer

Philadelphia, PA

$109K - $131K/yr

Proficiency in the following tools, technologies, and data concepts: • Azure Data Factory, Azure ... Apps, Azure DevOps, Power Automate, REST API • Familiarity with Azure OpenAI and Document ...

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Contract Azure Data Engineer information

See Philadelphia, PA salary details

$44.9K

$130.9K

$179.1K

How much do contract azure data engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for contract azure data engineer in Philadelphia, PA is $130,895.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,500.00 and $138,700.00 per year, depending on experience, location, and employer.

What is a contract Azure Data engineer?

Contract Azure Data Engineers are professionals hired on a temporary or project basis to design, build, and maintain data solutions using Microsoft Azure's cloud services. They specialize in creating data pipelines, integrating various data sources, and ensuring data is stored, processed, and made available efficiently in the Azure environment. These engineers often work with tools like Azure Data Factory, Azure Synapse Analytics, and Azure Databricks. Their role is critical for organizations needing scalable, secure, and reliable data infrastructure in the cloud.

What types of projects and team structures can a contract Azure Data engineer expect to work with?

As a Contract Azure Data Engineer, you will typically work on projects centered around data migration, data warehousing, or the implementation of cloud-based analytics solutions using Microsoft Azure. You may be embedded within cross-functional teams that include data architects, analysts, and software engineers, often collaborating closely to deliver solutions under tight deadlines. The contract nature of the role means you might be brought in to address specific technical challenges or to accelerate ongoing projects, so adaptability and strong communication skills are highly valued. This role often provides exposure to diverse industries and the opportunity to quickly expand your professional network.

What are the key skills and qualifications needed to thrive as a contract Azure Data engineer, and why are they important?

To thrive as a Contract Azure Data Engineer, you need strong expertise in data engineering concepts, SQL, ETL processes, and a solid understanding of Azure cloud services, typically supported by a relevant degree or certifications like Microsoft Certified: Azure Data Engineer Associate. Familiarity with tools such as Azure Data Factory, Azure Synapse Analytics, Databricks, and Power BI is commonly required. Excellent problem-solving skills, effective communication, and the ability to work independently are standout soft skills in this role. These skills ensure efficient data pipeline development, seamless integration with cloud systems, and successful project delivery in dynamic contract environments.

What is the difference between Contract Azure Data Engineer vs Contract Data Engineer?

AspectContract Azure Data EngineerContract Data Engineer
CertificationsAzure Data Engineer Associate, cloud certificationsGeneral data engineering certifications, such as Google Cloud or AWS certifications
Work EnvironmentPrimarily cloud-based, Azure platformCloud or on-premises, varies by employer
Industry UsageOrganizations using Microsoft AzureOrganizations using various cloud providers or on-premises data solutions
Search IntentComparing roles focused on Azure cloud data solutionsBroader data engineering roles across platforms

The Contract Azure Data Engineer specializes in building and managing data solutions within the Azure cloud platform, often requiring specific Azure certifications. In contrast, the Contract Data Engineer has a broader scope, working across multiple cloud providers or on-premises environments. The Azure-focused role is ideal for those targeting Azure-centric projects, while the general Data Engineer role offers flexibility across different platforms.

What are the most commonly searched types of Azure Data Engineer jobs in Philadelphia, PA?

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

What are popular job titles related to Contract Azure Data Engineer jobs in Philadelphia, PA?

For Contract Azure Data Engineer jobs in Philadelphia, PA, the most frequently searched job titles are:

What job categories do people searching Contract Azure Data Engineer jobs in Philadelphia, PA look for?

The top searched job categories for Contract Azure Data Engineer jobs in Philadelphia, PA are:

Infographic showing various Contract Azure Data Engineer job openings in Philadelphia, PA as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $130,895 per year, or $62.9 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