Software Engineer III - Databricks

Responsibilities

Design, develop, and support scalable data pipelines and enterprise data products on Databricks, including ingestion, transformation, integration, quality controls, and monitoring. Collaborate with engineering, architecture, product, and business teams to deliver analytics, operational, reporting, and AI-enabled solutions while supporting production and improving engineering practices.

Requirements

Requires formal training or certification in software engineering concepts and at least three years of applied experience, including Databricks, distributed data processing, and hands-on data engineering. Candidates should also have experience with AI-assisted development tools, data architecture and pipelines, software development lifecycle practices, and strong troubleshooting and collaboration skills.

Skills

• Databricks
• Data Engineering
• Distributed Data Processing
• Data Pipelines
• Data Ingestion
• Data Transformation
• Data Integration
• Data Quality
• Data Modeling
• Data Architecture
• Batch and Real-Time Processing
• AI-Assisted Software Development
• Software Development Lifecycle
• Testing and Version Control
• CI/CD
• Production Support

Benefits

• Health Care Coverage
• On-Site Health and Wellness Centers
• Retirement Savings Plan
• Backup Childcare
• Tuition Reimbursement
• Mental Health Support
• Financial Coaching

About this role

We have an exciting and rewarding opportunity for you to take your software
engineering career to the next level.
 
As a Software Engineer III at JPMorganChase within the Commercial & Investment
Bank - Digital & Platforms Services team, you serve as a seasoned member of an
agile team to design and deliver trusted market-leading technology products in a
secure, stable, and scalable way. You are responsible for carrying out critical
technology solutions across multiple technical areas within various business
functions in support of the firm’s business objectives.  You will help build and
support enterprise data products and data platforms that power analytics,
reporting, operational, and AI-driven solutions. Working alongside senior
engineers, architects, and product teams, you will develop scalable data
pipelines, contribute to data product development, and grow your expertise in
modern Data Engineering practices. 

Job Responsibilities

* Design, develop, test, and support data pipelines and data products using
modern Data Engineering practices.
* Build and maintain scalable data ingestion, transformation, and integration
processes on Databricks and related platform technologies.
* Leverages enterprise-authorized AI coding assist tools within the work
environment to improve code quality, delivery speed, and productivity across
complex deliverables (e.g., code generation/refactoring, unit test creation,
documentation), while validating outputs through peer review, automated
testing, and secure coding standards; contributes learnings and reusable
patterns to improve broader team effectiveness.
* 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.
* Implement data quality, validation, monitoring, and observability controls to
ensure reliable and trusted data.
* Contribute to the development of analytical, operational, reporting, and
AI-enabled data solutions.
* Collaborate with engineers, architects, product owners, and business
stakeholders to understand requirements and deliver data solutions.
* Troubleshoot data pipeline issues, support production environments, and
participate in operational support activities.
* Apply established engineering standards, design patterns, and best practices
while continuously improving development skills.
* Participate in code reviews, testing, documentation, and release activities
to ensure high-quality delivery.
* Identify opportunities to improve data quality, platform efficiency,
automation, and engineering productivity.

Required Qualifications, Capabilities, and Skills

* Formal training or certification on software engineering concepts and 3+
years applied experience
* Experience working with Databricks and distributed data processing
technologies.
* Strong programming skills and understanding of Data Engineering fundamentals.
* Hands-on experience using enterprise-authorized AI-assisted software
development tools within the work environment (e.g., for coding, test
creation, troubleshooting, or documentation) with demonstrated ability to
critically evaluate, validate, and refine AI-generated outputs for
correctness, performance, and security.
* Understanding of responsible AI use in engineering workflows, including data
sensitivity considerations, secure handling of inputs/outputs, and adherence
to resiliency and security expectations; ability to guide peers on safe and
effective usage within team practices.
* Familiarity with data architecture concepts, data modeling, and data product
principles.
* Experience building and supporting batch and/or real-time data pipelines.
* Strong analytical and problem-solving skills with the ability to troubleshoot
technical issues independently.
* Understanding of software development lifecycle practices, testing, version
control, and CI/CD concepts.
* Strong communication and collaboration skills with the ability to work
effectively in cross-functional teams.

Preferred Qualifications

* Experience working with modern enterprise data platforms and cloud-native
data architectures.
* Experience supporting real-time, analytical, or AI/ML-oriented data use
cases.
* Experience delivering data solutions within financial services or another
highly regulated environment.
* Relevant Databricks, cloud, or Data Engineering certification.

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...

About JPMorgan Chase & Co.

Financial Services · 10,001+ employees · headquartered in New York, NY