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Databricks Engineer Jobs in Delaware (NOW HIRING)

Java Software Engineer III

Wilmington, DE · On-site

$50.25 - $69/hr

As a Software Engineer III at JPMorgan Chase within the Corporate Sector, you are part of an agile ... Experience with Databricks JPMorganChase, one of the oldest financial institutions, offers ...

Java AWS Software Engineer III

Newark, DE · On-site

$50.50 - $69.50/hr

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

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 ...

Azure Databrick Admin

Wilmington, DE · On-site

$53.25 - $66.25/hr

Scope of Work - Azure Databricks Platform Administration The responsibilities for the Azure Databricks platform administration should include, but are not limited to: • Platform Setup ...

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Showing results 41-60

Databricks Engineer information

See Delaware salary details

$59.6K

$111.7K

$203.2K

How much do databricks engineer jobs pay per year?

As of Sep 10, 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:

Infographic showing various Databricks Engineer job openings in Delaware as of September 2026, with employment types broken down into 1% Internship, 86% Full Time, 8% Part Time, 4% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $111,728 per year, or $53.7 per hour.

Site Reliability Engineer III - Machine Learning

Wilmington, DE • On-site

JPMorgan Chase & Co.
Finance and Insurance • 10K+ employees

$55.25 - $73.50/hr

Other

Posted 25 days ago


JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz


Job description

There’s nothing more exciting than being at the center of a rapidly growing field in technology and applying your skillsets to drive innovation and modernize the world's most complex and mission‑critical systems.

As a Site Reliability Engineer III at JPMorgan Chase within the Corporate Technology, Consumer & Community Banking Risk team, you will tackle complex, wide‑ranging business challenges by designing and implementing clear, efficient technical solutions. You will use code and cloud infrastructure to configure, maintain, monitor, and optimize applications and their underlying platforms, independently decomposing existing systems and iteratively enhancing them. In this role, you are a key contributor to your team, sharing deep expertise in end‑to‑end operations, availability, reliability, and scalability to ensure the resilience and performance of critical applications and services.

Job Responsibilities
  • Guides and assists others in the areas of building appropriate level designs and gaining consensus from peers where appropriate, supporting adoption of site reliability engineering best practices within your team
  • Collaborates with other software engineers and teams to design, develop, test, and implement deployment and reliability approaches using automated continuous integration and continuous delivery pipelines
  • Uses enterprise-authorized AI capabilities within the work environment to accelerate incident triage, troubleshooting, and post-incident analysis, validating outputs and handling operational data according to sensitivity and security requirements.
  • Implements infrastructure, configuration, and network as code for the applications and platforms in your remit
  • Collaborates with technical experts, key stakeholders, and team members to resolve complex problems and proactively address issues using service level indicators and objectives before they impact customers
  • Applies enterprise-authorized AI capabilities within the work environment to identify patterns in operational signals that indicate reliability risk or recurring toil, prioritizing reuse-first improvements tied to SLO outcomes.
  • Familiar with availability, reliability, scalability, and solutions in their applications and works with partners to improve these outcomes iteratively
  • Proactively recognizes road blocks and identifies improvements to solve business problems, including exploring new technologies where appropriate
Required qualifications, capabilities, and skills
  • Formal training or certification on site reliability engineering concepts and 3+ years applied experience
  • Proficient in site reliability culture and principles and familiarity with how to implement site reliability within an application or platform
  • Proficient in at least one programming language such as Python, Java/Spring Boot, and .Net
  • Working knowledge of using enterprise-authorized AI capabilities within the work environment to support SRE workflows with strong validation habits and awareness of data sensitivity
  • Ability to validate AI‑assisted operational recommendations before applying changes, escalating when uncertain and following data sensitivity requirements
  • Proficient knowledge of software applications and technical processes within a given technical discipline (e.g., Cloud, AI, Android, etc.)
  • Experience in observability such as white and black box monitoring, service level objective alerting, and telemetry collection
  • Experience with continuous integration and continuous delivery tooling
  • Familiarity with container and container orchestration and troubleshooting common networking technologies and issues
Preferred qualifications, capabilities, and skills
  • Experience orchestrating data/compute workflows (e.g., Airflow or AWS Step Functions).
  • Familiarity with Databricks jobs, clusters, and workspace operations (experience using Python or REST APIs to interact is a plus).
  • Infrastructure-as-Code experience; Terraform Enterprise exposure preferred.
  • GitOps and configuration management exposure (e.g., Argo CD/Flux patterns), and operational readiness automation tied to pull‑request workflows.
  • Familiarity with OpenTelemetry or similar standards for metrics/logs/traces instrumentation and correlation.
  • AWS certification preferred.
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