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Freelance Databricks Data Engineer Jobs in Pennsylvania

Data Engineer

Pittsburgh, PA ยท On-site

$111K - $133K/yr

S.) This role requires core experience and expertise on - Databricks (advanced, hands-on), Python, ETL/ELT pipeline development, Spark (SQL/PySpark). Job purpose * The Data Engineer will be ...

... 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 ...

Data Engineer - Senior Manager

Pittsburgh, PA ยท On-site

$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 ...

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

... 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 ...

Data Engineer

West Chester, PA ยท 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 ...

Data Engineer

Philadelphia, PA ยท On-site

$115K - $138K/yr

We are seeking a Data Engineer to design, build, and optimize modern data platforms for our clients using Microsoft Azure, Microsoft Fabric, Power BI, and Databricks. This role is ideal for someone ...

New

Data Engineer

Philadelphia, PA ยท 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 ...

New

... 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 ...

... 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 ...

Data Engineer - Clearance Required

Pittsburgh, PA ยท On-site

$111K - $133K/yr

Develop and maintain data engineering workflows in Databricks, including notebooks, Delta Lake tables, and Spark jobs, for workloads that complement or feed into the Foundry environment * Write ...

Data Engineer - Clearance Required

Pittsburgh, PA ยท On-site

$111K - $133K/yr

Develop and maintain data engineering workflows in Databricks, including notebooks, Delta Lake tables, and Spark jobs, for workloads that complement or feed into the Foundry environment * Write ...

Data Engineer - Clearance Required

Pittsburgh, PA ยท On-site +1

$111K - $133K/yr

Develop and maintain data engineering workflows in Databricks, including notebooks, Delta Lake tables, and Spark jobs, for workloads that complement or feed into the Foundry environment * Write ...

Data Engineer - Clearance Required

Pittsburgh, PA ยท On-site

$111K - $133K/yr

Develop and maintain data engineering workflows in Databricks, including notebooks, Delta Lake tables, and Spark jobs, for workloads that complement or feed into the Foundry environment * Write ...

Showing results 21-40

Freelance Databricks Data Engineer information

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 Pennsylvania?

The most popular types of Databricks Data Engineer jobs in Pennsylvania are:

What are popular job titles related to Freelance Databricks Data Engineer jobs in Pennsylvania?

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

What job categories do people searching Freelance Databricks Data Engineer jobs in Pennsylvania look for?

The top searched job categories for Freelance Databricks Data Engineer jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Freelance Databricks Data Engineer jobs?

Cities in Pennsylvania with the most Freelance Databricks Data Engineer job openings:

Data Engineer

SysMind Tech

Pittsburgh, PA โ€ข On-site

$111K - $133K/yr

Contractor

Re-posted 15 days ago


Job description

Data Engineer
Location || Onsite - Warrendale, PA / Pittsburgh, PA (U.S.)
This role requires core experience and expertise on - Databricks (advanced, hands-on), Python, ETL/ELT pipeline development, Spark (SQL/PySpark).
Job purpose
  • The Data Engineer will be responsible for designing, developing, and optimizing large-scale data pipelines using Databricks, Spark, and Python. This is a short-term, high-priority onsite engagement (6-9 months) supporting critical client data engineering initiatives. The engineer will work directly at the client location in Pennsylvania and collaborate closely with technical teams to deliver scalable and high-performing data solutions.

Key responsibilities:
    • Design, build, and maintain Databricks-based ETL/ELT pipelines.
    • Develop high-performance Spark (PySpark) workflows for data processing.
    • Work with large-scale data in Lakehouse/Data Lake environments.
    • Optimize and troubleshoot existing Databricks jobs and clusters.
    • Collaborate with business and technical stakeholders to understand data requirements.
    • Implement data quality checks, validation rules, and monitoring processes.
    • Work with orchestration tools (ADF or equivalent) to schedule and automate workflows.
    • Ensure best practices in version control, CI/CD, and documentation.
    • Support production pipelines and resolve data-related issues proactively

Key competencies
    • Strong analytical and problem-solving mindset.
    • Ability to work independently in a fast-paced, onsite environment.
    • Excellent communication and cross-functional collaboration skills.
    • Strong ownership and accountability for deliverables.
    • Adaptability to dynamic project needs.