Backend Python/Databricks Software Engineer III

Join one of the world's most innovative financial institutions and be part of a

team that is transforming how financial data is engineered, processed, and

delivered at scale. At JPMorganChase, we empower our engineers with cutting-edge

tools, a collaborative culture, and the opportunity to grow your career while

solving some of the most complex data challenges in financial services.

As a Software Engineer III at JPMorganChase within the Consumer & Community

Banking Finance Data Engineering team in Plano, TX, you will design, build, and

maintain scalable backend data engineering solutions that power critical

financial reporting and analytics capabilities across the firm. You will work

closely with cross-functional teams to deliver high-quality, reliable data

pipelines and platform modules that support data-driven financial

decision-making at enterprise scale. Your work will directly influence how the

firm processes, manages, and leverages financial data to serve millions of

customers and stakeholders every day.

Our team is built on a foundation of engineering excellence, continuous

learning, and collaborative innovation. You will thrive in a fully onsite

environment in Plano, TX, where your ideas are valued, your growth is supported,

and your contributions make a measurable difference across the organization.

Job responsibilities

* Execute software solutions, design, development, and technical

troubleshooting with the ability to think beyond routine or conventional

approaches to build solutions or break down complex technical problems

* Create secure and high-quality production code and maintain algorithms that

run synchronously with appropriate systems, with a focus on Python backend

development and PySpark-based data processing

* Build, deploy, and support scalable data engineering modules on Databricks,

ensuring reliable performance, maintainability, and alignment with platform

architecture standards

* Leverage 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; contribute learnings and reusable

patterns to improve broader team effectiveness

* Apply 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

* Produce architecture and design artifacts for complex applications while

being accountable for ensuring design constraints are met by software code

development

* Gather, analyze, synthesize, and develop visualizations and reporting from

large, diverse financial data sets in service of continuous improvement of

software applications and systems

* Proactively identify hidden problems and patterns in data and use these

insights to drive improvements to coding hygiene and system architecture

* Participate in code reviews, providing and incorporating constructive

feedback to continuously elevate code quality and engineering standards

across the team

* Collaborate with product managers, architects, and cross-functional

engineering teams to translate finance business requirements into scalable

technical solutions

Required qualifications, capabilities, and skills

* Formal training or certification on software engineering concepts and 3+

years applied experience

* Hands-on practical experience in system design, application development,

testing, and operational stability

* Experience in developing, debugging, and maintaining code in a large

corporate environment with one or more modern programming languages and

database querying languages

* Proficiency in Python backend development with hands-on experience building

and optimizing PySpark data pipelines in production environments

* Demonstrated experience with Databricks, including module development,

deployment, and ongoing operational support

* 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

* Overall knowledge of the Software Development Life Cycle

* Solid understanding of agile methodologies such as CI/CD, Application

Resiliency, and Security

Preferred qualifications, capabilities, and skills

* Experience with Apache Spark, Kafka, or similar distributed data processing

frameworks in a large-scale enterprise environment

* Familiarity with cloud-based data platforms and services, particularly AWS

(e.g., S3, Glue, Lambda, or equivalent)

* Exposure to infrastructure-as-code or pipeline orchestration tools such as

Apache Airflow, Terraform, or similar

* Experience working within financial services or highly regulated enterprise

data environments

* Knowledge of data governance, data quality, or metadata management practices

within a finance or analytics context

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

[https://careers.jpmorgan.com/us/en/how-we-hire/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.