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Databricks Engineer Jobs in Philadelphia, PA (NOW HIRING)

JP Morgan Chase

Software Engineer III - Databricks

Wilmington, DE · On-site

$55.75 - $75/hr

  • Medical

  • Retirement

As a Software Engineer III - Databricks at JPMorgan Chase within the Corporate Sector's Enterprise Technology team, you serve as a seasoned member of an agile team to design and deliver trusted ...

Syntrux & Co

Databricks Admin Architect

King Of Prussia, PA · On-site

$63.25 - $83/hr

Collaborate with data engineering, security, cloud, and architecture teams. Required Skills: Databricks Administration, Unity Catalog, Apache Spark, Delta Lake, Azure/AWS/Google Cloud Platform, IAM ...

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Showing results 21-40

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 Aug 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 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 architecture can earn higher compensation, often exceeding $160,000 per year.

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?

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.

Is a Databricks engineer in demand?

Databricks engineers are in high demand due to the growing adoption of cloud-based data analytics and machine learning platforms. They typically require skills in Spark, SQL, and cloud environments, and their roles are often available across various industries seeking data-driven solutions.

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 August 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.

Sr. Forward Deployed Engineer (FDE) - Healthcare & Life Sciences

Databricks

Philadelphia, PA • On-site

$99K - $137K/yr

Full-time

Re-posted 13 days ago

Job description

Job Summary:
Databricks is the data and AI company that empowers organizations through its Data Intelligence Platform. As a Sr. Forward Deployed Engineer (FDE), you will collaborate with customers to deliver production-grade data and AI solutions, leading architecture and design decisions while ensuring customer satisfaction and project success.
Responsibilities:
• Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
• Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer
• Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
• Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.
• Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.
• Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.
• Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.
Qualifications:
Required:
• 6+ years experience in data engineering, data platforms & analytics, or software engineering
• Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
• Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps, ML/AI models and AI APIs
• Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.
• Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.
• Documentation and white-boarding skills.
• Experience working with enterprise clients and managing conflicts across a broad stakeholder range
• Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.
• Travel to customers 20% of the time
• Databricks Certification
Company:
Databricks is a data and AI platform that unifies data engineering, analytics, and machine learning on a lakehouse architecture. Founded in 2013, the company is headquartered in San Francisco, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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