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Freelance Databricks Data Engineer Jobs in Philadelphia, PA

Qurate Retail Group

Data Engineer

West Chester, PA · On-site

$108K - $130K/yr

Experience using Azure tools (Databricks, Data Factory, Delta Lake, Synapse, ADLS, PySpark, SQL ... g., Azure DevOps). * Experience in data warehouse design (e.g., slow changing dimensions ...

QVC

Data Engineer

West Chester, PA · Remote

$108K - $130K/yr

Experience using Azure tools (Databricks, Data Factory, Delta Lake, Synapse, ADLS, PySpark, SQL ... g., Azure DevOps). * Experience in data warehouse design (e.g., slow changing dimensions ...

Compunnel

Data Engineer

Philadelphia, PA · On-site

$115K - $138K/yr

Job Summary We are seeking a seasoned Senior Data Engineer with strong experience solving complex ... Extensive Databricks experience is required, along with strong AWS experience, including S3 and ...

New

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

Pwc

Data Engineer - Senior Manager

Philadelphia, PA

$124K - $280K/yr

... Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models and data flow diagrams ...

Comcast

Data Engineer

West Chester, PA · On-site +1

$108K - $130K/yr

... Engineer to join our Data Product Engineering team responsible for managing and evolving the ... Build and enhance cloud-native data solutions using AWS, Databricks, and PySpark. * Develop and ...

Pwc

Data Engineer - Manager

Philadelphia, PA · On-site

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and future business needs - Developing and documenting data ...

Reply

Data Engineer

Philadelphia, PA · On-site

$115K - $138K/yr

Expertise with Databricks, specifically the ability to design enterprise-level strategy and architecture including Unity Catalog, data warehousing, data sharing, and Mosaic AI * DevOps for data ...

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Freelance Databricks Data Engineer information

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How much do freelance databricks data engineer jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for freelance databricks data engineer in Philadelphia, PA is $48.14, according to ZipRecruiter salary data. Most workers in this role earn between $24.52 and $62.36 per hour, depending on experience, location, and employer.

What is a freelance Databricks data engineer?

Freelance Databricks Data Engineers are independent professionals who specialize in designing, building, and maintaining data pipelines and analytics solutions using the Databricks platform. They work on a contract basis, often helping organizations with data integration, ETL processes, and leveraging Apache Spark for big data analytics. These engineers typically have expertise in cloud platforms, SQL, Python, and other data engineering tools, and they offer flexible support based on project needs.

What are the key skills and qualifications needed to thrive as a freelance Databricks data engineer?

To thrive as a Freelance Databricks Data Engineer, you need strong skills in data engineering, SQL, Python or Scala, and a solid understanding of big data concepts, often supported by a degree in computer science or related fields. Proficiency with Databricks, Apache Spark, cloud platforms (such as AWS or Azure), and relevant certifications (like Databricks Certified Data Engineer) is highly valued. Excellent problem-solving, communication, and self-management skills are essential for collaborating remotely with clients and handling diverse projects. These skills enable efficient data pipeline development, scalable analytics, and successful client delivery in dynamic freelance environments.

How do freelance Databricks data engineers typically collaborate with client teams during projects?

Freelance Databricks Data Engineers often work remotely and interact with client teams through regular virtual meetings, project management platforms, and collaboration tools like Slack or Microsoft Teams. Clear communication is crucial, as you'll coordinate closely with data scientists, analysts, and IT stakeholders to understand requirements, deliver solutions, and troubleshoot issues. Establishing a structured workflow and providing frequent progress updates help ensure alignment and project success. Flexibility and proactive problem-solving are especially important in adapting to each client's unique data infrastructure and business goals.

What is the difference between Freelance Databricks Data Engineer vs Freelance Data Engineer?

AspectFreelance Databricks Data Engineer

Required SkillsProficiency in Databricks, Spark, Python, SQL, cloud platforms
Work EnvironmentRemote, project-based, client-specific
CertificationsDatabricks certifications, cloud platform credentials
Industry UsageData analytics, big data projects, AI/ML integrations

Freelance Databricks Data Engineers specialize in building and maintaining data pipelines using Databricks and Spark, often working on big data projects in cloud environments. Freelance Data Engineers may have broader skills across various tools and platforms but might not focus specifically on Databricks. Both roles are remote, project-based, and require similar certifications, but the Databricks-specific expertise makes the Freelance Databricks Data Engineer more specialized in Databricks ecosystems.

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

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

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

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The top searched job categories for Freelance Databricks Data Engineer jobs in Philadelphia, PA are:

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Cities near Philadelphia, PA with the most Freelance Databricks Data Engineer job openings:

Freelance Databricks Data Engineer jobs near you
Infographic showing various Freelance Databricks Data Engineer job openings in Philadelphia, PA as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $100,132 per year, or $48.1 per hour.

Data Engineer - Databricks, AWS, Python

Computer Enterprises, Inc.

Philadelphia, PA • On-site

$115K - $138K/yr

Other

Posted 28 days ago

Job description

Data Engineer – Databricks, AWS, Python
100% Remote / MUST interview on-site: Phila., PA  19103
$125,000 - $135,000/yrRole OverviewWe are seeking a Data Engineer to support the development, modernization, and delivery of data engineering assets, and the Yield Looker-to-Tableau migration, and Supply/Yield Data Engineering initiatives through the remainder of 2026. This role will focus on building reliable ETL pipelines, enhancing legacy jobs, supporting migration work, and delivering core data assets that feed analytics and reporting in Tableau Cloud.Key Responsibilities
  • Develop, test, and maintain ETL and data engineering jobs that bring data into Databricks and support downstream analytics and reporting.
  • Work with business and technical stakeholders to understand requirements and translate them into scalable, production-ready data pipelines.
  • Build and maintain pipelines across AWS, Databricks, and Snowflake environments.
  • Enhance existing legacy data engineering jobs as part of broader modernization and migration efforts.
  • Create and maintain technical documentation, technical specifications, test plans, and operational support materials.
  • Perform testing and quality assurance to validate data accuracy, pipeline reliability, and readiness for production deployment.
  • Use Terraform to provision, configure, and manage cloud infrastructure supporting data engineering workloads.
  • Set up and maintain CI/CD pipelines using Concourse, GitHub Actions, or similar tooling to enable smooth, repeatable deployments.
  • Troubleshoot pipeline issues, resolve defects quickly, and help ensure data jobs run reliably within expected service levels.
  • Provide post-delivery support, including issue investigation, defect resolution, and operational handoff.
  • Identify and mitigate risks, including single points of failure, reliability gaps, and operational dependencies.
  • Collaborate with engineers, analysts, and reporting teams to share knowledge, strengthen best practices, and improve delivery quality.
Project ScopeThe Data Engineer will augment capacity on the Supply/Yield Data Engineering team and support priority work related to INVENTORY ART, including migration activities and the development of core data pipelines and assets. These assets will support analytics and reporting used by Steve S.’s teams in Tableau Cloud. The role will also provide additional support for the Yield Looker-to-Tableau migration and related modernization efforts.Required Skills and Experience
  • Hands-on experience developing ETL, ELT, or data engineering pipelines in production environments.
  • Strong experience with Databricks, Spark-based processing, and modern data pipeline development.
  • Experience working with AWS cloud services and Snowflake data platforms.
  • Proficiency with infrastructure-as-code practices, preferably Terraform.
  • Experience implementing CI/CD practices using Concourse, GitHub Actions, or comparable deployment automation tools.
  • Ability to write clear technical specifications, documentation, and support materials.
  • Strong testing, quality assurance, troubleshooting, and operational support skills.
  • Ability to work collaboratively with cross-functional teams and translate requirements into working technical solutions.
Preferred Qualifications
  • Experience supporting analytics or BI migrations, especially from Looker to Tableau.
  • Experience developing data assets for Tableau Cloud reporting and analytics use cases.
  • Familiarity with supply, yield, inventory, or advertising-related data domains.
  • Experience modernizing or enhancing legacy data engineering jobs.
  • Strong understanding of operational reliability, risk mitigation, and single-point-of-failure reduction.

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