Software Engineer III - Databricks
About The Position
As a Software Engineer III at JPMorganChase within the Commercial & Investment Bank - Digital & Platforms Services team, you will serve as a seasoned member of an agile team, designing and delivering trusted technology products in a secure, stable, and scalable way. You will carry out critical technology solutions across multiple technical areas and business functions in support of the firm’s objectives. You will help build and support enterprise data products and platforms for 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 grow your expertise in modern Data Engineering practices. The role also involves using authorized AI-assisted development tools responsibly, validating their outputs, and sharing effective practices with the team.
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 with enterprise-authorized AI-assisted software development tools, including 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 and SDLC automation capabilities to improve code quality, delivery speed, productivity, and automation value; validate outputs through peer review, automated testing, and secure coding standards, and contribute reusable practices.
- 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 engineering standards, design patterns, and best practices while continuously improving development skills.
- Participate in code reviews, testing, documentation, and release activities.
- Identify opportunities to improve data quality, platform efficiency, automation, and engineering productivity.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
