Software Engineer III - Big Data Databricks, Python / Java

Socket.dev; Houston (TX); On-site; USD 140,000 - 200,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Software Engineer III to contribute to a trusted Global Know Your Customer (KYC) and Risk Assessment Data Platform.

You will collaborate across teams to deliver secure, scalable data-driven solutions and leverage AI-assisted development tools to boost code quality and speed. The role requires 5+ years of software engineering experience, expertise in Python/Java, and strong knowledge of cloud and data platforms.

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Hands-on experience delivering system design, application development, testing, and operational stability at enterprise scale.
• Expert in one or more programming languages, particularly Python and/or Java.
• Deep knowledge of software development processes with focus on cloud, AI/ML, and data engineering.
• Hands-on experience using enterprise-authorized AI-assisted software development tools with evaluation, validation, and secure outputs.

Responsibilities

• Develops secure, high-quality production code for data-intensive applications and platforms.
• Creates durable, reusable software frameworks and patterns used across teams.
• Leverages enterprise-authorized AI coding assist tools to improve code quality, delivery speed, and productivity with peer review and automated testing.
• Applies knowledge of SDLC tools including AI-assisted development to improve automation value.
• Advises cross-functional teams on technological matters within their domain of expertise.
• Supports large-scale data processing, microservices, API design, and orchestration tooling.

Skills

Python

Java

Data engineering

Cloud

AI-assisted dev tools

APIs

Education

Software engineering certification

Tools

Airflow

Databricks

Snowflake

Spark

Job description

Job Description

As a Software Engineer III at JPMorgan Chase within the Corporate Technology Sector, you provide expertise and engineering excellence as an integral part of an agile data engineering team. To enhance, build, and deliver a trusted market leading Global Know Your Customer (KYC) and Risk Assessment Data Platform in a secure, stable, and scalable way. Leverage your technical capabilities and collaborate with colleagues across the organization to drive best-in-class outcomes across various technologies to support one or more of the firm’s portfolios.

Job responsibilities

• Develops secure, high-quality production code for data-intensive applications and platforms
• Creates durable, reusable software frameworks and patterns that are leveraged across teams and functions
• 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.
• Advises cross-functional teams on technological matters within your domain of expertise
• 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 at scale.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability at enterprise scale
• Expert in one or more programming languages, particularly Python and/or Java
• Deep knowledge of software application development and technical processes, with considerable depth in one or more disciplines (e.g., cloud, AI/ML, data engineering)
• 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.
• Experience in large-scale data processing, microservices, API design, Kafka, Redis, Memcached, observability tools (Dynatrace, Splunk, Grafana), and orchestration frameworks (Airflow, Temporal)
• Working knowledge of relational and NoSQL databases, vector stores, data lake architectures, and data governance
• Practical cloud-native experience (AWS, Azure, or GCP)
• Ability to present and effectively communicate with senior leaders and executives

Preferred qualifications, capabilities, and skills

• Experience with modern data platforms such as Databricks or Snowflake
• Hands-on experience with Spark/PySpark and other big data processing technologies
• Expertise in open-source table formats and catalog services such as Apache Iceberg
• Experience with LLM orchestration frameworks and model serving infrastructure or managed endpoints such as AWS Bedrock, Azure OpenAI

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.