<p>JobID: 210639779</p> <p>Category: Software Engineering</p> <p>JobSchedule: Full time</p> <p>Posted Date: 2025-08-11T04:00:00+00:00</p> <p>JobShift: Day</p> <p>:</p> <p>Job Description</p> <p>Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team.</p> <p>As a Software Engineer III: Data Engineer at JPMorgan Chase within the Consumer & Community Banking: Data Technology, you will serve as a seasoned member of an agile team to design and deliver trusted data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As a contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.</p> <p>Job responsibilities</p> <ul> <li>Develops innovative software solutions, encompassing design, development, and technical troubleshooting, with the ability to think beyond conventional methods to create solutions or resolve technical challenges. </li><li>Produces secure, high-quality production code, while reviewing and debugging code authored by others. </li><li>Identifies opportunities to eliminate or automate the remediation of recurring issues, enhancing the overall operational stability of software applications and systems. </li><li>Collaborates closely with cross-functional teams to develop efficient data pipelines that support various data-driven initiatives. </li><li>Implements best practices for data engineering, ensuring data quality, reliability, and performance. </li><li>Contributes to data modernization efforts by utilizing cloud solutions and optimizing data processing workflows. </li><li>Performs data extraction and implements complex data transformation logic to meet business requirements. </li><li>Utilizes advanced analytical skills to enhance data pipelines and ensure consistent data delivery across projects. </li><li>Monitors and conducts data quality checks to proactively identify and address anomalies. </li><li>Ensures data availability and accuracy for analytical purposes. </li><li>Identifies opportunities for process automation within data engineering workflows. </li></ul> <p>Required qualifications, capabilities, and skills</p> <ul> <li>Formal training or certification on software engineering concepts and 3+ years applied experience </li><li>Proficient in using ETL tools such as Ab Initio, Informatica, and Data Pipeline, as well as workflow management tools like Airflow. </li><li>Extensive hands-on coding experience with PySpark, Python, and AWS. </li><li>Experienced in working with modern Data Lakes, including Snowflake and Databricks. </li><li>Practical experience in delivering system design, application development, testing, and ensuring operational stability. </li><li>Exceptional problem-solving skills. </li><li>Skilled in automation and continuous delivery methodologies. </li><li>Capable of learning and acquiring new skillsets on an ongoing basis. </li></ul> <p>Preferred qualifications, capabilities, and skills</p> <ul> <li>Highly skilled in one or more programming languages: SQL and Java. </li><li>Advanced understanding of agile methodologies, including CI/CD, application resiliency, and security. </li><li>Demonstrated expertise in software applications and technical processes within a technical domain, such as cloud computing, artificial intelligence, and machine learning. </li><li>Comprehensive knowledge of the financial services industry and its IT systems. </li><li>Practical experience with cloud-native technologies. </li></ul>