Software Engineer III - Data Engineer

As a Senior Associate Data Engineer within the Corporate Technology Risk

organization, you will contribute to the development and modernization of the

Consumer and Community Banking Risk Feature Engineering Platform. You will be

expected to apply strong software engineering and data engineering practices

while contributing to the platform's strategic direction through technical

execution, innovation, automation, and continuous improvement.

Job Responsibilities

* Design, develop, and support scalable feature engineering solutions on

Databricks that enable risk analytics, fraud detection, machine learning, and

enterprise data products.

* Build and maintain reusable batch and real-time feature pipelines, including

feature onboarding, versioning, testing, monitoring, and lifecycle management

within the Risk Feature Store ecosystem.

* Implement modern data engineering solutions using Databricks, Apache Spark,

PySpark, Delta Lake, Lakeflow, and declarative pipeline patterns, ensuring

scalability, resiliency, and maintainability.

* Drive platform modernization initiatives by migrating legacy Spark and EMR

workloads to Databricks-native architectures and adopting cloud-native

engineering practices.

* Apply software engineering best practices including CI/CD, automated testing,

code reviews, observability, release management, and production support to

deliver high-quality, reliable solutions.

* Leverage enterprise-approved AI-assisted engineering tools such as GitHub

Copilot and LLM Suite to accelerate development, improve code quality,

automate SDLC activities, and identify opportunities for innovation.

* 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, governance, lineage, and security controls, ensuring

compliance with regulatory requirements, PCI standards, metadata management,

retention policies, and audit expectations.

* Develop and support cloud-native solutions on AWS, utilizing services such as

S3, Glue, Lambda, ECS/EKS, Aurora/RDS, and Infrastructure-as-Code

technologies including Terraform.

* Participate in architecture reviews and technical decision-making,

contributing recommendations that improve platform performance, operational

stability, cost efficiency, resiliency, and long-term scalability.

* Collaborate with data scientists, model developers, business stakeholders,

and engineering teams, while mentoring junior engineers and promoting

reuse-first, secure, and high-performing engineering practices across the

organization.

Required Qualifications, Capabilities and Skills

* Formal training or certification in software engineering, computer science,

data engineering, or a related discipline with 3+ years of applied industry

experience.

* Strong hands-on experience with Databricks, Apache Spark, PySpark, Delta

Lake, and modern Lakehouse architectures.

* Experience building and supporting large-scale batch and streaming data

pipelines.

* Proficiency in Python and SQL with a strong understanding of distributed

computing principles.

* 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.

* Working knowledge of Databricks Unity Catalog, Delta Live Tables, and modern

declarative pipeline frameworks.

* Experience with AWS cloud services including S3, Glue, EMR, Lambda, ECS/EKS,

and related technologies.

* Experience implementing data-quality, data-governance, and lineage solutions.

* Familiarity with data security controls, encryption, and PCI data handling

requirements.

Preferred Qualifications, Capabilities and Skills

* Professional certifications such as Databricks Data Engineer

Associate/Professional and/or AWS Solutions Architect/Developer

certifications are strongly preferred.

* Experience with Feature Engineering platforms including Databricks Feature

Engineering, Feature Store, Feature Views, or similar enterprise feature

management technologies.

* Hands-on experience building scalable real-time and event-driven data

solutions, leveraging technologies such as Kafka, streaming frameworks, and

distributed services architectures.

* Proven experience modernizing data platforms, including migration of legacy

Spark/EMR workloads to Databricks-native architectures and adoption of

Lakehouse best practices.

* Knowledge of cloud-native data platform technologies and governance,

including Terraform, Snowflake, Databricks SQL, Unity Catalog, and

Infrastructure-as-Code 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

[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.