Software Engineer III - Databricks

JPMorgan Chase & Co. • Plano, TX

1d

About The Position

As a Software Engineer III at JPMorganChase within the Commercial & Investment Bank Digital & Platforms Services team, you will contribute as a seasoned member of an agile team, designing and delivering secure, stable, and scalable technology products. You will help build and support enterprise data products and platforms that power analytics, reporting, operational, and AI-driven solutions. Working with senior engineers, architects, and product teams, you will develop scalable data pipelines, contribute to data product development, and build expertise in modern Data Engineering practices.

The role covers critical technology solutions across multiple technical areas and business functions in support of the firm’s objectives. You will use Databricks and related technologies to build and maintain data pipelines, apply quality and observability controls, support production operations, and contribute to continuous improvement. You will also use enterprise-authorized AI-assisted development tools in a responsible manner, validating their output through review, testing, and secure coding practices.

Requirements

• Formal training or certification in software engineering concepts and at least 3 years of 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, with the ability to critically evaluate, validate, and refine generated outputs for correctness, performance, and security.
• Understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and security and resiliency expectations; ability to guide peers on safe and effective usage.
• 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, including 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 and ability to work effectively in cross-functional teams.

Nice To Haves

• Experience 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 in financial services or another highly regulated environment.
• Relevant Databricks, cloud, or Data Engineering certification.

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.
• Use enterprise-authorized AI coding assistance to improve code quality, delivery speed, and productivity, validating results through peer review, automated testing, and secure coding standards; share useful learnings and reusable patterns.
• Apply Software Development Life Cycle toolchain capabilities, including authorized AI-assisted development and automation, to improve the value realized by automation.
• Implement data quality, validation, monitoring, and observability controls to ensure reliable and trusted data.
• Contribute to 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.

Benefits

• Competitive total rewards package, including base salary and, for eligible roles, commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity.
• Comprehensive health care coverage.
• On-site health and wellness centers.
• Retirement savings plan.
• Backup childcare.
• Tuition reimbursement.
• Mental health support.
• Financial coaching.
• Reasonable accommodations for religious practices and beliefs, and mental health or physical disability needs.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed