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Databricks Engineer Jobs in Delaware (NOW HIRING)

Chesapeake

Senior Power BI Developer

Newark, DE · On-site

Experience with Azure Data Factory, Synapse Analytics, Databricks, or other data engineering tools (preferred). * Knowledge of utility-sector systems such as AMI, CIS, GIS, outage management, or ...

FocusKPI

Marketing Operations Analyst

Milford, DE

Collaborate with cross-functional teams such as IT and engineering to integrate data from various ... Experience working within data platforms like Databricks/Snowflake, and analytics modeling ...

FocusKPI

Marketing Operations Analyst

Newark, DE

Collaborate with cross-functional teams such as IT and engineering to integrate data from various ... Experience working within data platforms like Databricks/Snowflake, and analytics modeling ...

FocusKPI

Marketing Operations Analyst

Dover, DE

Collaborate with cross-functional teams such as IT and engineering to integrate data from various ... Experience working within data platforms like Databricks/Snowflake, and analytics modeling ...

FocusKPI

Marketing Operations Analyst

Smyrna, DE

Collaborate with cross-functional teams such as IT and engineering to integrate data from various ... Experience working within data platforms like Databricks/Snowflake, and analytics modeling ...

FocusKPI

Marketing Operations Analyst

Wilmington, DE · On-site

Collaborate with cross-functional teams such as IT and engineering to integrate data from various ... Experience working within data platforms like Databricks/Snowflake, and analytics modeling ...

FocusKPI

Marketing Operations Analyst

Seaford, DE

Collaborate with cross-functional teams such as IT and engineering to integrate data from various ... Experience working within data platforms like Databricks/Snowflake, and analytics modeling ...

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Databricks Engineer information

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$59.6K

$111.7K

$203.2K

How much do databricks engineer jobs pay per year?

As of May 30, 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.
Finance Data Mart - Domain Data Architect

Finance Data Mart - Domain Data Architect

JPMorgan Chase & Co.

Wilmington, DE • On-site

$61.75 - $79.50/hr

Full-time

Medical, Retirement

Posted 8 days ago

JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 467 frontline employees who took The Breakroom Quiz

45th of 141 rated banks

Job description

Job Description
As part of our team, you'll help modernize our data environment and unlock new opportunities for career growth and skill development.
As a Domain Data Architect Lead, within the Finance Data Mart team, you will partner with Technology and Product teams to design and deliver data domains using Databricks and enable the Finance function to access and analyze essential data, supporting business needs across banking, wealth management, credit cards, auto lending, and home lending.
You will work within a dynamic, cross-functional team, contributing to the transformation of our data architecture and integration processes. Your expertise will help ensure our data solutions remain robust, scalable, and aligned with industry best practices, supporting the analytical and reporting needs of the Finance organization.
Job Responsibilities:
  • Implement and optimize the Finance Data Mart using Databricks and ThoughtSpot for analytics and reporting
  • Design efficient data mart schemas consolidating key data categories from multiple source systems
  • Collaborate with data engineers, analysts, and technical specialists to gather and analyze business requirements
  • Develop and optimize ETL processes and data pipelines using Databricks
  • Partner with Area Product teams and stakeholders to design reporting and analytics solutions and support the Finance function across diverse business areas
  • Apply design-led thinking to make data discoverable and accessible for analytical needs
  • Maintain documentation on data mart architecture, data models, ETL processes, and governance policies
Required Qualifications, Capabilities, and Skills:
  • Minimum seven years of experience in data architecture, data warehousing, and data integration in financial services
  • Bachelor's degree in Computer Science, Information Systems, or related discipline
  • Expertise in designing scalable data mart architectures, including star and snowflake schemas
  • Strong knowledge of data management, data lineage, and data dictionaries
  • Proven track record in managing and delivering complex data projects
  • Strong written and verbal communication skills
  • Proficiency in SQL, Data Modeling, and ERWIN
Preferred Qualifications, Capabilities, and Skills:
  • Strong knowledge of Amazon Web Services; AWS Certifications preferred
  • Experience with Databricks, Snowflake, or other cloud data warehouses
  • Experience with market-leading data catalog systems
  • Experience with ThoughtSpot, Sigma, Tableau, Alteryx, or Essbase a plus

About Us
Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
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.
Equal Opportunity Employer/Disability/Veterans
About the Team
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.
The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

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