1

Databricks Engineer Jobs in Philadelphia, PA (NOW HIRING)

Alpha Consulting Corp. is seeking a highly skilled Databricks Engineer with expertise in AWS cloud services and scalable data platform architecture. The ideal candidate will manage and optimize ...

C. is seeking a highly skilled Databricks Engineer with expertise in AWS cloud services and scalable data platform architecture. The role involves managing and optimizing Databricks infrastructure ...

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 ...

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 ...

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 ...

next page

Showing results 1-20

Databricks Engineer information

See Philadelphia, PA salary details

$60K

$112.6K

$204.8K

How much do databricks engineer jobs pay per year?

As of Jul 15, 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 engineer makes $500,000 a year?

Senior Databricks Engineers with extensive experience, specialized skills in big data, cloud platforms, and advanced analytics can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or with significant bonuses and stock options. Such compensation typically requires a combination of technical expertise, leadership roles, and years of industry experience.

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 job market for qualified candidates.

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.

How much does a Databricks engineer make?

A Databricks engineer's salary 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 industry demand and certifications held.

Is Databricks a high paying job?

A Databricks Engineer typically earns a high salary due to the specialized skills required in cloud computing, big data processing, and Spark platform expertise. Compensation varies based on experience, location, and certifications, but it is generally above average for data engineering roles.

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 cities near Philadelphia, PA are hiring for Databricks Engineer jobs? Cities near Philadelphia, PA with the most Databricks Engineer job openings:
Infographic showing various Databricks Engineer job openings in Philadelphia, PA as of July 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

AWS Databricks Engineer

Intellisoft Technologies

Malvern, PA • On-site

Other

Posted 13 days ago


Job description

Role: AWS Databricks Engineer

Location: Malvern, PA

C2C is okay

This role is best suited for a senior-level engineer who combines strong AWS Infrastructure expertise with hands-on Databricks administration and modern Data Engineering experience.

Must have:

  • We are looking for an engineer who can:
  • Build AWS infrastructure from scratch using Terraform
  • Set up and administer Databricks environments
  • Design secure cloud architectures and networking
  • Implement CI/CD and DevOps best practices
  • Develop scalable Spark/PySpark data pipelines
  • Optimize AWS and Databricks costs
  • Own platform reliability, monitoring, and governance
  • Work independently across Cloud, DevOps, and Data Engineering functions