Software Engineer II- Data Engineer

JOB DESCRIPTION As a Software Engineer II at JPMorgan Chase within the Consumer & Community Banking Cards Technology team, you are an integral member of an agile engineering team responsible for designing, enhancing, and delivering secure, stable, and scalable solutions for data collection, storage, access, and analytics. You will leverage your deep technical expertise and problem-solving skills to promote meaningful business outcomes, addressing a wide range of challenges across multiple data pipelines, data architectures, and downstream data consumers. Job responsibilities Executes software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problemsCreates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systemsLeverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standardsProduces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code developmentApplies 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 Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems.Designs and delivers trusted data collection, storage, access, and analytics data platform solutions in a secure, stable, and scalable wayDefines database back-up, recovery, and archiving strategy Required qualifications, capabilities, and skills Formal training or certification in software engineering concepts and 2+ years applied experienceExperience with AWS cloud technologies, including S3 Experience with SQL-based technologies (e.g., MySQL/ Oracle DB)Experience in Java and Python programming languageHands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs. Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations. Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languagesExperience in data de/serialization (at least two of Parquet, Iceberg, Avro, JSON-LD) and solid understanding of AWS security controls including IAM, service roles, encryption, KMS, Secrets Manager, and Lake Formation governanceHands-on delivery experience building data lakes and pipelines on AWS using Lake Formation, S3, Glue Catalog, Athena, and Glue ETL/EMR; streaming with Kinesis or MSK; orchestration with Airflow or serverless workflows (Lambda + Step Functions + EventBridge) Preferred qualifications, capabilities, and skills Snowflake knowledge or experience preferred In-depth knowledge of the financial services industry and their IT systemsWorked with building Data lake, built Data platforms, built Data frameworks, Built/Design of Data as a Service AP ABOUT US .