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Databricks Engineer Jobs in New Castle, DE (NOW HIRING)

Lead Software Engineer

Wilmington, DE · On-site

  • Medical

  • Retirement

As a Lead Software Engineer at JPMorgan Chase within the Corporate Technology, you are an integral ... Certification in Databricks * Experience in observability and production management tools (ex.

Java AWS Software Engineer III

Newark, DE · On-site

$50.75 - $69.75/hr

  • Medical

  • Retirement

As Software Engineer III at JPMorgan Chase within Commercial & Investment Bank - Post Trade ... Databricks for distributed data processes and analytics * Hands-on experience working with AWS ...

Java AWS Software Engineer III

Newark, DE · On-site

$51 - $70/hr

  • Medical

  • Retirement

As Software Engineer III at JPMorgan Chase within Commercial & Investment Bank - Post Trade ... Databricks for distributed data processes and analytics * Hands-on experience working with AWS ...

Java AWS Software Engineer III

Newark, DE

$51 - $70/hr

  • Medical

  • Retirement

As Software Engineer III at JPMorgan Chase within Commercial & Investment Bank - Post Trade ... Databricks for distributed data processes and analytics * Hands-on experience working with AWS ...

Java AWS Software Engineer III

Newark, DE · On-site

$50.50 - $69.50/hr

  • Medical

  • Retirement

As Software Engineer III at JPMorgan Chase within Commercial & Investment Bank - Post Trade ... Databricks for distributed data processes and analytics * Hands-on experience working with AWS ...

Java AWS Software Engineer III

Newark, DE · On-site

$120 - $170/hr

  • Medical

  • Retirement

As Software Engineer III at JPMorgan Chase within Commercial & Investment Bank - Post Trade ... Databricks for distributed data processes and analytics * Hands-on experience working with AWS ...

New

Java AWS Software Engineer III

Newark, DE · On-site

$51 - $70/hr

  • Medical

  • Retirement

As Software Engineer III at JPMorgan Chase within Commercial & Investment Bank - Post Trade ... Databricks for distributed data processes and analytics * Hands-on experience working with AWS ...

Python PySpark

Wilmington, DE · On-site

$48.75 - $67.25/hr

JD: Expert proficiency in Python programming language Expert proficiency in PySpark, including ... like S3, Databricks, and Data Lake Storage Experience with continuous integration/continuous ...

Showing results 41-60

Databricks Engineer information

See New Castle, DE salary details

$57.7K

$108.3K

$196.9K

How much do databricks engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for databricks engineer in New Castle, DE is $108,251.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,100.00 and $128,500.00 per year, depending on experience, location, and employer.

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.

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 $90,000 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 can earn higher compensation, often including bonuses and benefits.

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 like AWS or Azure, making them valuable in data-driven organizations across various industries.

What are popular job titles related to Databricks Engineer jobs in New Castle, DE?

For Databricks Engineer jobs in New Castle, DE, the most frequently searched job titles are:

What job categories do people searching Databricks Engineer jobs in New Castle, DE look for?

The top searched job categories for Databricks Engineer jobs in New Castle, DE are:

What cities near New Castle, DE are hiring for Databricks Engineer jobs?

Cities near New Castle, DE with the most Databricks Engineer job openings:

Infographic showing various Databricks Engineer job openings in New Castle, DE as of August 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 84% In-person, 8% Hybrid, and 8% Remote job distribution, with an average salary of $108,251 per year, or $52 per hour.

Lead Software Engineer

JPMorgan Chase & Co.

Wilmington, DE • On-site

Other

Medical, Retirement

Re-posted 4 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 495 frontline employees who took The Breakroom Quiz

72nd of 171 rated banks


Job description


Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.
As a Lead Software Engineer at JPMorgan Chase within the Corporate Technology, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.
Job responsibilities
  • Design and implement enterprise-grade Machine Learning platforms capable of deploying and running predictive models at scale.
  • Develop web applications using service-oriented and microservices architecture with Java and Python frameworks.
  • Integrate solutions with AWS Cloud Services, including compute, storage, databases, and security components.
  • Build tools and automation solutions for monitoring, provisioning, and streamlining processes, services, and reporting.
  • Establish comprehensive monitoring and alerting frameworks to ensure optimal performance, scalability, availability, and reliability.
  • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
  • Partner closely with Product teams to design, build, and deliver capabilities through agile sprints.
  • Leverage strong operational insights to recommend improvements to upstream products, processes, and policies that enhance the user experience.
  • Utilize AI agents and emerging technologies to build prototypes for demonstration purposes, presenting to peer groups, business partners, and senior leadership.
  • Deliver high-quality results within tight deadlines while maintaining a strong focus on code optimization, performance tuning, and engineering best practices.

Required qualifications, capabilities, and skills
  • Formal training or certification on software engineering concepts and 5+ years applied experience.
  • Experience in building high-volume, low-latency, high-throughput transactional systems.
  • Experience in building microservices using Java/Spring Boot and Python/Fastapi/Flask
  • Experience with AWS services - S3, DynamoDB, ECS, EKS, RDS, Lambda, and ALB/NLB.
  • Experienced with pair programming agents such as GitHub Copilot/Claude code to accelerate prototyping.
  • Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
  • Strong knowledge of RDBMS, schema design, SQL, query optimization, indexing, joins, and JDBC.
  • Agile Development experience with SCRUM or similar methodologies
  • Completed AWS Developer or Solution Architect Certification
  • Excellent problem-solving skills and the ability to think critically and creatively

Preferred qualifications, capabilities, and skills
  • Experience in MLOps and building model serving applications
  • Experience with artificial intelligence and machine learning tools and framework in development.
  • Certification in Databricks
  • Experience in observability and production management tools (ex. Splunk / Dynatrace / Grafana)

About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About the Team
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

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