At JPMorgan Chase, you'll have the opportunity to advance your career and push the boundaries of data engineering by developing innovative, secure solutions that transform financial services.
As a Data Engineer at JPMorgan Chase within the Employee Platforms team, you will become an integral part of an agile team dedicated to enhancing, building, and delivering trusted market-leading technology products in a secure, stable, and scalable way.
Job Responsibilities
- Execute creative software and data solutions, including design, development, and technical troubleshooting, by thinking beyond routine or conventional approaches to build solutions or break down technical problems.
- Develop secure, high-quality production code and data pipelines, reviewing and debugging processes implemented by others.
- Identify opportunities to eliminate or automate remediation of recurring issues to improve operational stability of software applications and systems.
- Lead evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture.
- Work with business stakeholders to understand requirements and design appropriate solutions, producing architecture and design artifacts for complex applications.
- Implement robust monitoring and alerting systems to proactively identify and address data ingestion issues, optimizing performance and throughput.
- Implement data quality checks and validation processes to ensure accuracy and reliability of data.
- Design and implement scalable data frameworks to manage end-to-end data pipelines for workforce data analytics.
- Share and develop best practices with Platform and Architecture teams to improve data pipeline framework and modernize the workforce data analytics platform.
- Gather, analyze, and synthesize large, diverse data sets to continuously improve capabilities and user experiences, leveraging data-driven insights.
- Lead and contribute to software engineering communities of practice and events that explore new and emerging technologies, fostering a culture of diversity, inclusion, and respect.
Required Qualifications, Capabilities, and Skills
- Formal training or certification on software engineering concepts and 3+ years applied experience.
- Hnads on experience in data engineering, including design, application development, testing, and operational stability.
- Advanced proficiency in data processing frameworks and tools, including Parquet, Iceberg, PySpark, Glue, Lambda, Databricks, and AWS data services (EMR, Athena, Redshift).
- Proficiency in programming languages such as Python, Java, or Scala for data processing and application development.
- Extensive hands-on experience with Databricks, including architecting and managing large-scale data pipelines, optimizing Spark jobs, implementing security and governance controls, and automating workflows. Proven ability to leverage Databricks for advanced analytics, data lakehouse architectures, and seamless integration with AWS or other cloud services.
- Proficiency in automation and continuous delivery methods, utilizing CI/CD pipelines with tools like Git/Bitbucket, Jenkins, or Spinnaker for automated deployment and version control.
- Hands-on practical experience delivering system design, application development, testing, and operational stability, with advanced understanding of agile methodologies, application resiliency, and security.
- Demonstrated proficiency in software applications and technical processes within technical disciplines such as cloud, artificial intelligence, machine learning, and mobile.
- Leverage AI agents and tools, such as Co-Pilot, to enhance productivity, code quality, and problem-solving in engineering tasks.
- Experience with scheduling tools like Autosys or Airflow to automate and manage job scheduling for efficient workflow execution.
Preferred Qualifications, Capabilities, and Skills
- AWS Certifications.
- Databricks Certifications.
- Proficiency in relational databases (Oracle or SQL Server).
- Skilled in writing Oracle SQL queries utilizing DML, DDL, and PL/SQL.
Top Skills
What the Team is Saying
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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Hybrid Workspace
Employees engage in a combination of remote and on-site work.
