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Databricks Engineer Jobs in Pennsylvania (NOW HIRING)

Scalence L.L.C.

Databricks Engineer

Malvern, PA · On-site

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 ...

Techstra Solutions

Databricks Engineer

Pittsburgh, PA · On-site

$100K - $120K/yr

Role Overview We are seeking a Junior Databricks Engineer to join our team. This role is ideal for a recent master's graduate who is passionate about big data, cloud technologies, and modern data ...

Deloitte

Sr Databricks Data Engineer

Pittsburgh, PA

$111K - $133K/yr

As a 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 work with business ...

Deloitte

Sr Databricks Data Engineer

Philadelphia, PA · On-site

$115K - $138K/yr

As a 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 work with business ...

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 ...

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 ...

System One

Data Engineer - Databricks

Pittsburgh, PA · On-site

$107K - $128K/yr

Data Engineer - Azure Databricks Contract-to-Hire Pittsburgh, PA - Onsite Job ID J0726-0569 Visa : (No Sponsorship) Position Overview * Seeking an experienced Data Engineer to join a high-performing ...

System One

Data Engineer - Databricks

Pittsburgh, PA · On-site

$111K - $133K/yr

Data Engineer - Azure Databricks Contract-to-Hire Pittsburgh, PA - Onsite Job ID J0726-0569 Visa : USC, GC, EAD (No Sponsorship) Position Overview * Seeking an experienced Data Engineer to join a ...

System One

Data Engineer - Databricks

Pittsburgh, PA · On-site

$111K - $133K/yr

Data Engineer - Databricks Duration : Contract to Hire Location : Pittsburgh, PA Work Mode : 5 Days Onsite Join a high performing data engineering team responsible for building modern, cloud native ...

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All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Pennsylvania

Databricks Engineer information

See Pennsylvania salary details

$59.6K

$111.9K

$203.5K

How much do databricks engineer jobs pay per year?

As of Jul 30, 2026, the average yearly pay for databricks engineer in Pennsylvania is $111,900.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,700.00 and $132,800.00 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 Pennsylvania? For Databricks Engineer jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Databricks Engineer jobs in Pennsylvania look for? The top searched job categories for Databricks Engineer jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Databricks Engineer jobs? Cities in Pennsylvania with the most Databricks Engineer job openings:
Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in Pennsylvania as of July 2026, with employment types broken down into 1% As Needed, 88% Full Time, 6% Part Time, and 5% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $111,900 per year, or $53.8 per hour.

Databricks Engineer

Scalence L.L.C.

Malvern, PA • On-site

Full-time

Re-posted 13 days ago

Job description

Job Summary:
Scalence L.L.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, developing data pipelines, and implementing improvements in performance, security, and cost-efficiency.
Responsibilities:
• Manage and optimize Databricks infrastructure on AWS
• Develop and maintain scalable data pipelines
• Implement performance, security, and cost-efficiency improvements
Qualifications:
Required:
• Strong expertise in AWS cloud services
• Experience with cluster management and scalable data platform architecture
• Proficiency in Spark, Delta Lake, Terraform, and CI/CD automation
• 6-8 years of relevant experience
• Prior work experience at client or in client's Industry
Preferred:
• Additional certifications in AWS or related technologies
• Experience with other cloud platforms
• Knowledge of data security best practices
Company:
In today’s dynamic and competitive market, success hinges on mastering three key areas: Data Intelligence, Business Resilience, and Digital Experience. Founded in , the company is headquartered in Morristown, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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