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Freelance Databricks Data Engineer Jobs in Philadelphia, PA

Amerihealth Caritas

Data Engineer

Newtown Square, PA · Hybrid

$109K - $131K/yr

Role Overview The Azure Data Engineer designs, builds, and optimizes large scale cloud data ... Tune Databricks jobs and clusters (cluster sizing, autoscaling, caching, partitioning, shuffle ...

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 ...

New

Pwc

Data Engineer - Senior Associate

Philadelphia, PA · On-site

$77K - $202K/yr

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

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 ...

New

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 ...

New

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All JobsDatabricks Data Engineer JobsFreelance Databricks Data Engineer JobsFreelance Databricks Data Engineer Jobs in Philadelphia, PA

Freelance Databricks Data Engineer information

See Philadelphia, PA salary details

$15

$48

$133

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

As of Aug 19, 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:

What are popular job titles related to Freelance Databricks Data Engineer jobs in Philadelphia, PA?

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

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

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

What cities near Philadelphia, PA are hiring for Freelance Databricks Data Engineer jobs?

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.

Databricks Data Engineer

Geethanjali College of Engineering and Technology

Malvern, PA • On-site

$112K - $134K/yr

Full-time

Posted 3 days ago

New

Job description

Senior Databricks Data Engineer
Location: Chicago-IL - Hybrid 3 days at On-site
Duration: 6 months
Role Descriptions:
Key Responsibilities
• Pipeline Development - Design, implement, and optimize scalable ETL/ELT pipelines using Databricks (PySpark, SQL, Delta Lake) to ingest structured and semi structured data from multiple sources (APIs, databases, streaming).
• Data Warehousing - Build and maintain cloud data warehouse solutions (Snowflake / Azure Synapse) - design star schemas, fact/dimension tables, and aggregate tables for high performance reporting.
• Data Modeling - Create logical and physical data models for operational and analytical use cases; implement SCD Type 2, slowly changing dimensions, and data vault methodologies where appropriate.
• Performance Tuning - Optimize Spark jobs, SQL queries, and data partitioning strategies to handle petabyte scale data with low latency.
• Governance & Quality - Implement data quality checks, monitoring, and lineage using tools like Great Expectations or custom frameworks; enforce data governance policies (GDPR/CCPA).
• Collaboration - Partner with data analysts, product managers, and engineers to translate business requirements into technical data solutions.
• CI/CD & Automation - Automate deployment of data pipelines using Azure DevOps or GitHub Actions; maintain infrastructure as code (Terraform) for data resources.
Required Skills & Experience
• Total Experience: 10+ years in data engineering or related roles.
• Cloud Data Platforms: Deep hands on experience with Databricks (notebooks, jobs, clusters, Delta Lake, Unity Catalog) - must have production level work.
• Data Warehousing: Proven experience with cloud data warehouses (Snowflake, Azure Synapse, or Redshift) - design, optimisation, and administration.
• Data Modeling: Strong knowledge of dimensional modeling (Kimball/Inmon), relational database design, and experience with tools like ER/Studio or dbt.
• Programming: Expert in Python and SQL - ability to write maintainable, production grade code.
• Big Data: Hands on with Apache Spark (PySpark), distributed computing, and performance tuning.
• Orchestration: Experience with workflow tools (Airflow, Azure Data Factory, or Prefect) for scheduling and monitoring pipelines.
• Version Control: Proficient with Git and collaborative development workflows.
Preferred Qualifications
• Experience with streaming technologies (Kafka, Event Hubs, or Kinesis).
• Knowledge of data mesh or data fabric architectures.
• Familiarity with BI tools (Power BI, Tableau, Looker).
• Databricks certification (e.g., Associate or Professional Data Engineer).
• Experience with dbt (data build tool) and transformation testing.
• Exposure to MLflow or MLOps practices.
Education & Soft Skills
• Bachelor's or Master's degree in Computer Science, Information Systems, or a related field (or equivalent practical experience).
• Strong communication skills
• Self starter with a problem solving mindset and ability to work independently in a hybrid environment.
Keyword:
Skills: Digital : Snowflake~Digital : Databricks
Experience Required: 10 & Above

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