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Contract Databricks Developer Jobs in Philadelphia, PA

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Databricks Lead

Chester, PA · On-site

$57 - $74.50/hr

Title -Databricks Lead Location - Chester, Newtown Square PA Duration - Contract/FTE The Role ... on-prem devops tools for orchestration, scheduling, logging, required for data integration ...

Judge Group, Inc.

Data Engineer Junior

Wilmington, DE

$50 - $60/hr

Wilmington, DE (Hybrid - 3 days onsite) Duration: 6+ month contract (with potential extension ... Contribute to Databricks migration initiatives and optimize existing workflows. * Perform hands-on ...

ENE IT Consulting

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 ... Azure Data Engineer Associate or Databricks Certified Data Engineer.

Hirekeyz Inc

Python Pyspark

Wilmington, DE · On-site

$48.75 - $67.25/hr

Contract/W2 1. Hands on exeperience on pyspark and AWS. 2. Candidates from Tier-1 companies will be ... Expert proficiency in Python programming language Expert proficiency in PySpark, including Spark ...

Hirekeyz Inc

Python Pyspark

Wilmington, DE · On-site

$48.75 - $67.25/hr

Contract/W2/Full Time Must have skill: PySpark, including Spark SQL and other Spark APIs Expert ... programming language Expert proficiency in PySpark, including Spark SQL and other Spark APIs ...

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All JobsContract Databricks Developer JobsContract Databricks Developer Jobs in Philadelphia, PA

Contract Databricks Developer information

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How much do contract databricks developer jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for contract databricks developer in Philadelphia, PA is $62.05, according to ZipRecruiter salary data. Most workers in this role earn between $55.77 and $68.65 per hour, depending on experience, location, and employer.

What is a Contract Databricks Developer?

A Contract Databricks Developer is a data engineering professional hired on a temporary or project basis to develop, optimize, and maintain data pipelines and analytics solutions using the Databricks platform. They work with cloud data technologies, Spark, and big data frameworks to support organizations in managing large-scale data processing and analytics tasks. Their responsibilities often include building ETL workflows, collaborating with data scientists, and ensuring data quality and performance in data-driven projects.

What are some common challenges faced by Contract Databricks Developers when starting a new project?

As a Contract Databricks Developer joining a new project, you may encounter challenges such as quickly understanding the existing data architecture, adapting to the client's specific workflow, and ensuring seamless integration with their cloud infrastructure (often Azure or AWS). You’ll also need to align with established data governance and security protocols while collaborating with data engineers, analysts, and business stakeholders. Effective communication and proactive documentation are key to overcoming these hurdles and delivering value efficiently within the contract period.

What is the difference between Contract Databricks Developer vs Data Engineer?

AspectContract Databricks DeveloperData Engineer
Primary FocusDeveloping and optimizing data pipelines using Databricks platformDesigning, building, and maintaining scalable data architectures
Skills & CertificationsProficiency in Spark, SQL, Python, Databricks platform, and cloud servicesKnowledge of ETL processes, SQL, Python, cloud platforms, and data modeling
Work EnvironmentProject-based, often remote, with a focus on Databricks environmentsVaries from in-house teams to consulting, working on large-scale data systems

While both roles require expertise in data processing and cloud platforms, a Contract Databricks Developer specializes in building data solutions specifically within the Databricks environment, whereas a Data Engineer has a broader scope in designing and managing overall data infrastructure across various tools and platforms.

What are the key skills and qualifications needed to thrive as a Contract Databricks Developer, and why are they important?

To excel as a Contract Databricks Developer, you need strong expertise in data engineering, big data analytics, and proficiency in programming languages like Python or Scala, typically backed by relevant experience or a degree in computer science. Familiarity with Databricks, Apache Spark, cloud platforms (such as Azure or AWS), and certifications like Databricks Certified Associate Developer are commonly required. Excellent problem-solving, adaptability, and communication skills help you collaborate with clients and teams to deliver tailored data solutions. These competencies are crucial for building scalable data pipelines and efficiently managing large datasets in dynamic project environments.
What are the most commonly searched types of Databricks Developer jobs in Philadelphia, PA? The most popular types of Databricks Developer jobs in Philadelphia, PA are:
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Contract Databricks Developer jobs near you

AWS Databricks Engineer

Purple Drive Technologies

Wilmington, DE • On-site

Full-time

Posted 13 hours ago

Job description

Overview:
Title: AWS Databricks Engineer
Location: Wilmington, DE - Onsite
Type: Contract Opportunity
Job Overview
We are seeking a highly skilled AWS Databricks Engineer to join our team for an onsite contract role in Wilmington, DE. The ideal candidate will have strong experience working with AWS frameworks, Terraform for infrastructure automation, and Databricks for large-scale data processing and analytics. Proficiency in Scala, Python, and Java is essential to design, develop, and optimize data solutions in a cloud-native environment.
Key Responsibilities
  • Design, develop, and optimize data pipelines and ETL processes using Databricks (DBX).
  • Work extensively with AWS services (EMR, EKS) to build scalable and secure data platforms.
  • Implement and manage Infrastructure as Code (IaC) using Terraform.
  • Develop and maintain solutions using Scala, Python, and Java for data processing and integration.
  • Collaborate with cross-functional teams to ensure data solutions meet business requirements, scalability, and performance needs.
  • Ensure data quality, governance, and security best practices are applied across the architecture.
  • Troubleshoot, optimize, and monitor data workflows to ensure high performance and reliability.
Required Skills & Qualifications
  • 8+ years of experience in Data Engineering / Cloud Engineering.
  • Strong expertise with AWS EMR and EKS frameworks.
  • Proven hands-on experience with Terraform for infrastructure automation.
  • Advanced knowledge of Databricks (DBX) for building large-scale data solutions.
  • Proficiency in programming languages: Scala, Python, and Java.
  • Solid understanding of data engineering concepts including data modeling, pipelines, and distributed computing.
  • Experience with big data ecosystems and handling both structured and unstructured data.
  • Strong problem-solving and analytical skills with excellent communication abilities.
Preferred Skills
  • Experience in CI/CD pipelines and DevOps best practices.
  • Familiarity with modern data warehousing solutions and cloud-native analytics platforms.
  • Exposure to real-time data processing frameworks.

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