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Databricks Engineer Jobs in Delaware (NOW HIRING)

TalentOla

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 ...

Donato Technologies, Inc

Python Pyspar

Wilmington, DE · On-site

$48.75 - $67.25/hr

Expert proficiency in Python programming language * Expert proficiency in PySpark, including Spark ... Experience with AWS cloud platforms including services like S3, Databricks, and Data Lake Storage

Zentek Infosoft Inc.

Python Pyspark

Wilmington, DE · On-site

$48.75 - $67.25/hr

Expert proficiency in Python programming language * Expert proficiency in PySpark, including Spark ... Experience with AWS cloud platforms including services like S3, Databricks, and Data Lake Storage

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All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Delaware

Databricks Engineer information

See Delaware salary details

$59.6K

$111.7K

$203.2K

How much do databricks engineer jobs pay per year?

As of Aug 21, 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 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 Delaware?

For Databricks Engineer jobs in Delaware, the most frequently searched job titles are:

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 August 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $111,728 per year, or $53.7 per hour.

Java AWS Software Engineer III

JPMorgan Chase & Co.

Newark, DE • On-site

$51 - $70/hr

Full-time

Medical, Retirement

Posted 8 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


We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As Software Engineer III at JPMorgan Chase within Commercial & Investment Bank - Post Trade Technology Reporting team, 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. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. This group is going through a migration and modernization journey where you will be contributing to designing products, owning the design end-to-end, designing & building applications, and testing activities.
Job responsibilities
  • Develop code that conforms to the design, addresses non-functional requirements, and complies with the coding standards and conventions
  • Create detailed Unit Test cases, perform unit testing, integration testing, support QA and User acceptance testing and also address ad hoc user queries
  • Practice test-driven development, automated testing and continuous integration
  • Actively participate in peer review sessions by evaluating code quality, ensuring adherence to best practices, identifying defects, and providing constructive, actionable feedback to improve overall team deliverables
  • 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.
  • Mentor and support junior developers by offering technical guidance, conducting knowledge-sharing sessions, reviewing their work, and fostering skill development to strengthen team capabilities
  • Analyze programs and troubleshoot production issues. Identify potential performance tuning improvement areas and implement tuning measures
  • Collaborate with regional and global team members from other regions
  • Possess a good understanding of change management and release processes

Required qualifications, capabilities, and skills
  • Formal training or certification on software engineering concepts and 3+ years applied experience
  • Hands-on experience coding in one or more programming languages, including Java
  • Experience designing and implementing applications using Spring Boot
  • Hands-on experience with AWS Cloud technologies
  • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
  • Overall knowledge of the Software Development Life Cycle
  • 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
  • Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
  • Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

Preferred qualifications, capabilities, and skills
  • Proven experience designing and building scalable big data warehouses using Apache Spark, including data ingestion, transformation, and optimization for large-scale datasets
  • Working knowledge of containerization and orchestration tools such as Kubernetes and Docker, along with experience leveraging Databricks for distributed data processes and analytics
  • Hands-on experience working with AWS cloud services (e.g., S3, EC2, EMR), NoSQL databases such as MongoDB, and modern data lake technologies including Apache Iceberg for efficient data storage and management

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
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

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