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Databricks Engineer Jobs in Philadelphia, PA (NOW HIRING)

Deloitte

Sr Databricks Data Engineer

Philadelphia, PA

$115K - $138K/yr

As a Senior Consultant - Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will ...

Lincoln Financial

Databricks Engineer and Architect

Radnor, PA · Hybrid

$58.50 - $76.75/hr

... Developer, Data Analytics Specialty, or Databricks certification is a plus. Application Deadline Applications for this position will be accepted through May 15th, 2026 subject to earlier closure due ...

Lincoln Financial

Databricks Engineer and Architect

Radnor, PA · Hybrid

$58.50 - $76.75/hr

AWS certifications such as SAA, Associate Developer, Data Analytics Specialty, or Databricks certification is a plus. Application Deadline Applications for this position will be accepted through May ...

Lincoln Financial

Databricks Engineer and Architect

Radnor, PA · On-site

$58.50 - $76.75/hr

... Developer, Data Analytics Specialty, or Databricks certification is a plus. Application Deadline Applications for this position will be accepted through May 15th, 2026 subject to earlier closure due ...

Deloitte

Databricks Data Engineer

Philadelphia, PA

$115K - $138K/yr

As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based data engineering solutions that enable large-scale transformation. You will work with business and ...

Deloitte

Sr Databricks Data Engineer

Philadelphia, PA · On-site

$109K - $131K/yr

As a Sr Consultant - Databricks Data Engineer, you will design, build, and optimize scalable data engineering solutions using Databricks across various cloud environments. Responsibilities : • Lead ...

Deloitte

Databricks Manager

Philadelphia, PA · On-site +1

These solutions are powered by engineering for business advantage, transforming mission-critical ... Experience with Databricks MLOps or infrastructure setup * Experience coordinating delivery teams ...

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All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Philadelphia, PA

Databricks Engineer information

See Philadelphia, PA salary details

$60K

$112.6K

$204.8K

How much do databricks engineer jobs pay per year?

As of Jun 16, 2026, the average yearly pay for databricks engineer in Philadelphia, PA is $112,646.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,200.00 and $133,700.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior engineers in high-demand fields such as software engineering, data engineering, and specialized roles like Databricks Engineers can earn $500,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and leadership responsibilities. Compensation often includes base salary, bonuses, and stock options, particularly in large tech companies or startups with significant funding.

Is it hard to get hired at Databricks?

Getting hired as a Databricks Engineer can be competitive, as the role requires strong skills in big data technologies, cloud platforms, and programming languages like Python or Scala. Candidates often need relevant experience, certifications, and a solid understanding of data engineering concepts to succeed in the hiring process.

What is the salary of engineer in Databricks?

The salary of a Databricks Engineer typically ranges from $100,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, or data engineering may earn higher compensation. Salaries can also vary based on company size and industry demand.

Is Databricks Data Engineer in demand?

Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and the need for expertise in big data processing, Spark, and cloud environments. Companies seek professionals skilled in data pipeline development, ETL processes, and cloud tools like AWS or Azure, making this a strong career choice with good job prospects.

What are some common challenges faced by Databricks Engineers when working with large-scale data pipelines?

Databricks Engineers often encounter challenges related to optimizing the performance and reliability of large-scale data pipelines. These can include efficiently managing cluster resources, handling data partitioning to prevent bottlenecks, and troubleshooting job failures due to resource constraints or data quality issues. Collaboration with data scientists, analysts, and DevOps teams is essential to ensure seamless integration and deployment of production workflows. Staying current with evolving Databricks features and best practices also plays a key role in overcoming these challenges.

What is a Databricks Engineer?

A Databricks Engineer is a data engineering professional who specializes in using the Databricks platform to build, manage, and optimize data pipelines and analytics solutions. They work with big data technologies like Apache Spark, Delta Lake, and cloud services to process and analyze large datasets efficiently. Their role often involves developing ETL (extract, transform, load) workflows, setting up data lakes, and ensuring data quality and performance for business intelligence and machine learning applications.

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

To thrive as a Databricks Engineer, you need strong expertise in big data processing, cloud platforms (like AWS or Azure), and proficiency with languages such as Python, SQL, and Scala, often supported by a degree in computer science or a related field. Familiarity with Apache Spark, Databricks Workspace, version control systems like Git, and relevant Databricks certifications are typically required. Strong analytical thinking, collaboration, and effective communication skills help you understand business needs and work seamlessly with data teams. These skills ensure efficient data pipeline development, scalable analytics solutions, and successful integration of Databricks into organizational workflows.
What are popular job titles related to Databricks Engineer jobs in Philadelphia, PA? For Databricks Engineer jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Databricks Engineer jobs in Philadelphia, PA look for? The top searched job categories for Databricks Engineer jobs in Philadelphia, PA are:
What cities near Philadelphia, PA are hiring for Databricks Engineer jobs? Cities near Philadelphia, PA with the most Databricks Engineer job openings:
Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in Philadelphia, PA as of June 2026, with employment types broken down into 56% Full Time, and 44% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $112,646 per year, or $54.2 per hour.

AWS Databricks Engineer

Purple Drive Technologies

Wilmington, DE • On-site

Full-time

Posted 8 days 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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