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Databricks Engineer Jobs in Delaware (NOW HIRING)

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 ...

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

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

Python Pyspark

Wilmington, DE · On-site

$48.75 - $67.25/hr

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

Python Pyspark

Wilmington, DE · On-site

$48.75 - $67.25/hr

PySpark, including Spark SQL and other Spark APIs Expert proficiency in Python programming language ... like S3, Databricks, and Data Lake Storage Experience with continuous integration/continuous ...

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Databricks Engineer information

See Delaware salary details

$59.6K

$111.7K

$203.2K

How much do databricks engineer jobs pay per year?

As of Jul 9, 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 engineer makes $500,000 a year?

Senior Databricks Engineers with extensive experience, specialized skills in big data, cloud platforms, and advanced analytics can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or with significant bonuses and stock options. Such compensation typically requires a combination of technical expertise, leadership roles, and years of industry experience.

Is Databricks Data Engineer in demand?

Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and the need for expertise in big data processing, Spark, and cloud environments. Companies seek professionals skilled in data pipeline development, ETL processes, and cloud tools like AWS or Azure, making this a strong job market for qualified candidates.

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 engineering may earn higher compensation. Salaries can also vary based on industry demand and certifications held.

Is Databricks a high paying job?

A Databricks Engineer typically earns a high salary due to the specialized skills required in cloud computing, big data processing, and Spark platform expertise. Compensation varies based on experience, location, and certifications, but it is generally above average for data engineering roles.

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, 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 popular job titles related to Databricks Engineer jobs in Delaware? For Databricks Engineer jobs in Delaware, the most frequently searched job titles are:
What cities in Delaware are hiring for Databricks Engineer jobs? Cities in Delaware with the most Databricks Engineer job openings:
Sr Manager of Software Engineering

Sr Manager of Software Engineering

JPMorgan Chase & Co

Wilmington, DE

Full-time

Medical, Retirement

Re-posted 3 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 487 frontline employees who took The Breakroom Quiz

55th of 146 rated banks


Job description

When you mentor and advise multiple technical teams and move financial technologies forward, it's a big challenge with big impact. You were made for this. 

As a Senior Manager of Software Engineering at JPMorgan Chase within Corporate Technology - Treasury & CIO (TCIO) Finance Technology team, you will lead and coach multiple engineering teams while shaping the technical strategy for platforms that power internal funding and Net Interest Income (NII). You will anticipate cross-functional dependencies across Finance, Risk, Treasury, and Infrastructure, and your insights will inform budget and technical decisions that advance efficiency, resiliency, and control.

Job responsibilities

  • Provide direction, oversight, and coaching to teams of entry- to mid-level software engineers delivering solutions for internal funding, NII, and related accounting/finance use cases.
  • Manage accountability for decisions impacting team resources, budget, tactical operations, and the execution of processes and procedures across multiple pipelines and services.
  • Ensure successful collaboration across Finance, Risk, Treasury, SRE, and Data Platform stakeholders to deliver secure, scalable, and well-controlled solutions.
  • Identify and mitigate issues to execute the book of work; escalate risks proactively and drive remediation plans.
  • Manage platform strategy and modernization (cloud-first, data-first), including AI enablement for efficiency, anomaly detection, and automation of controls.
  • Champion engineering best practices for big data processing (Databricks, Spark), microservices (Java/Python), API design, CI/CD, observability, and resiliency.
  • Manage logical explanations and finance-grade controls (data lineage, reconciliations, validations) that meet accounting and reporting standards.
  • Create a culture of diversity, opportunity, inclusion, and respect, with emphasis on mentorship, talent development, and thought leadership.

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 5+ years applied experience . In addition, 2 + years of experience leading technologists to manage and solve complex technical items within your domain of expertise 
  • Experience leading multiple teams; ability to guide and coach on achieving goals aligned to strategic initiatives and regulatory timelines.
  • Proven track record hiring, developing, and recognizing engineering talent; strong mentorship and people leadership.
  • Deep understanding of finance and accounting concepts related to internal funding and NII (e.g., accruals, FTP/base rate curves, interest calculation logic, ledger alignment).
  • Practical cloud-native experience, in AWS (compute, storage, networking, security).
  • Proficiency with Databricks/Spark for large-scale data processing; strong coding skills in Python and Java; familiarity with data pipelines and controls.
  • Experience in Computer Science, Engineering, Mathematics, or a related field, with expertise across core technology disciplines (APIs, data, platform engineering).

Preferred qualifications, capabilities, and skills

  • Experience producing high-quality code and design at a senior level; ability to set standards, review designs, and drive technical direction.
  • Background in AI/ML enablement for operational efficiency, quality controls, and anomaly detection in finance data.
  • Familiarity with finance technology operating models, controls, and audit/regulatory expectations; experience coordinating with Finance and Risk stakeholders.
  • Demonstrated success driving platform modernization (cloud migration, data platform evolution) while managing day-to-day inefficiencies and scaling engineering practices.
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

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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