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Databricks Engineer Jobs in Delaware (NOW HIRING)

Dlapiper

Data Engineer

Wilmington, DE

$111.10K - $133.40K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks ...

Bread Financial

Data Engineer

Wilmington, DE · On-site

$111.10K - $133.40K/yr

The Data Engineer will take a prominent role in leading full stack development projects ... Create efficient data pipelines using tools like Azure Data Factory, Databricks, and AWS, focusing ...

New

JPMorgan Chase & Co

Principal Software Engineer

Wilmington, DE · On-site

$131K - $175.60K/yr

As a Principal Software Engineer at JPMorgan Chase within the Corporate Technology, you will ... Certification in Databricks and AWS JPMorganChase, one of the oldest financial institutions, offers ...

JP Morgan Chase

Principal Software Engineer

Wilmington, DE · On-site

$131K - $175.60K/yr

As a Principal Software Engineer at JPMorgan Chase within the Corporate Technology, you will ... Certification in Databricks and AWS JPMorganChase, one of the oldest financial institutions, offers ...

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$59.6K

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How much do databricks engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for databricks engineer in Delaware is $111,728.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,600.00 and $132,600.00 per year, depending on experience, location, and employer.

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 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.

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, and data engineering may earn higher compensation. Salaries can also vary based on industry demand and certifications.
What job categories do people searching Databricks Engineer jobs in Delaware look for? The top searched job categories for Databricks Engineer jobs in Delaware are:
What cities in Delaware are hiring for Databricks Engineer jobs? Cities in Delaware with the most Databricks Engineer job openings:
Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in Delaware as of May 2026, with employment types broken down into 2% As Needed, 82% Full Time, 5% Part Time, 7% Contract, and 4% Nights. Highlights an 91% Physical, and 9% Remote job distribution, with an average salary of $111,728 per year, or $53.7 per hour.

AWS Databricks Engineer

Purple Drive Technologies

Wilmington, DE • On-site

Full-time

Posted 20 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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