We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer III at JPMorganChase within the Consumer and community banking, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.
Job responsibilities
- Work with large-scale datasets, performing advanced queries and calculations to extract, transform, and analyze data.
- Design, develop, and optimize ETL pipelines using AWS Glue, PySpark, and Databricks.
- Link and integrate processed data to downstream tables and systems via AWS Glue workflows.
- Integrate AI/ML models (SageMaker or custom) into data workflows and production pipelines.
- Utilize AWS services including S3, Lambda, Redshift, Athena, Step Functions, MSK, EKS, and Data Lake architectures.
- Design and implement scalable data models, data warehousing, and data lake solutions.
- Collaborate with data scientists, engineers, and business stakeholders to deliver high-quality data solutions.
- Use version control (Git) and CI/CD pipelines for efficient development and deployment.
- Leverage AI agents and tools (e.g., Co-Pilot) to enhance productivity, code quality, and problem-solving.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 3+ years applied experience
- Hands-on experience with AWS Glue (ETL jobs, crawlers, workflows), including linking data to downstream tables.
- Advanced skills in writing and optimizing queries and calculations on large datasets.
- Experience with PySpark and distributed data processing & Strong programming skills in Python.
- Familiarity with AWS services: S3, Lambda, Redis, Athena, Step Functions.
- Experience with version control (Git) and CI/CD pipelines.
- Hands-on experience with AWS services and cloud-based data solutions & Strong hands-on coding capabilities in languages/platforms such as PySpark/Python/Databricks.
- Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.).
- Ability to leverage AI agents and tools, such as Co-Pilot, to enhance productivity and code quality.
Preferred qualifications, capabilities, and skills
- UI/UX - React
- Proficiency in all other AWS components - preferably AWS certified.
- Experience integrating AI/ML models (SageMaker or custom models) into data pipelines is a plus.
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What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands.
Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products.
Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com.
©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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Employees engage in a combination of remote and on-site work.
