As a Lead Software Engineer at JPMorganChase within the CIB, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology data products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm’s business objectives.
- Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
- Delivers data collection, storage, access, and analytics data platform solutions in a secure, stable, and scalable way
- Uses enterprise-authorized AI capabilities within the work environment to accelerate data products and model design analysis and documentation, validating outputs and handling data according to sensitivity and security requirements.
- Evaluates and reports on access control processes to determine effectiveness of data asset security with minimal supervision
- Applies reuse-first, AI-assisted practices within delivery and operational routines (e.g., backup/recovery validation and access control review support), ensuring traceability/auditability and alignment to resiliency and security expectations.
- Develops secure and high-quality production code, and reviews and debugs code written by others
- Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
Required qualifications, capabilities, and skills
- Formal training or certification on data engineering concepts and 5+ years applied experience
- Proficient at processing and analyzing large datasets using Big Data technologies, including Apache Spark, across data platforms comprising of Redshift, SQL DB, RDS and Databricks.
- Design, development, and implementation of scalable data pipelines and data matching solutions on AWS, utilizing Python for data engineering tasks.
- Strong experience in setup and configuration of services such as S3, Step Functions, EMR, Glue, Lambda, RDS, EventBridge, Step-Functions and API Gateway for scripting, automation, and orchestration of data workflows.
- Strong hands-on experience with Databricks and distributed data processing technologies.
- Understanding of data architecture, data modeling, data integration, and data product principles.
- Experience designing and operating large-scale data platforms and data products in complex enterprise environments.
- Development of semantic layer for data consumption using Iceberg tables and APIs.
- Implementation of continuous deployment and integration processes using Infrastructure as Code tools, including Terraform.
- Troubleshoot and resolve issues related to application code and data workflows.
- Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support data engineering workflows with strong validation habits and awareness of data sensitivity.
- Working experience with both relational and NoSQL databases
- Advanced in one or more programming language(s)
- Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
Preferred qualifications, capabilities, and skills
- Experience working with modern enterprise data platforms and cloud-native data architectures.
- Experience supporting real-time, analytical, or AI/ML-oriented data use cases.
- Databricks, Snowflake, AWS cloud, or Data Engineering certifications
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
Skills Required
- Formal training or certification in data engineering concepts
- 5+ years of applied data engineering experience
- Experience processing and analyzing large datasets using Apache Spark, Redshift, SQL databases, RDS, and Databricks
- Experience designing, developing, and implementing scalable data pipelines and data matching solutions on AWS using Python
- Strong experience configuring AWS S3, Step Functions, EMR, Glue, Lambda, RDS, EventBridge, and API Gateway
- Strong hands-on experience with Databricks and distributed data processing technologies
- Understanding of data architecture, data modeling, data integration, and data product principles
- Experience designing and operating large-scale data platforms and data products in complex enterprise environments
- Experience developing semantic layers using Iceberg tables and APIs
- Experience implementing CI/CD using Infrastructure as Code tools, including Terraform
- Ability to troubleshoot and resolve application code and data workflow issues
- Experience using enterprise-authorized AI capabilities in data engineering workflows with validation and data-sensitivity awareness
- Working experience with relational and NoSQL databases
- Advanced proficiency in one or more programming languages
- Advanced understanding of agile methodologies, CI/CD, application resiliency, and security
- Experience with modern enterprise data platforms and cloud-native data architectures
- Experience supporting real-time, analytical, or AI/ML-oriented data use cases
- Databricks, Snowflake, AWS Cloud, or data engineering certification
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical coverage and wellness resources, including mental-health support and wellness incentives, are described as comprehensive and accessible; feedback suggests income-based contributions help keep care affordable.
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Retirement Support — A dollar-for-dollar 401(k) match up to 5% of eligible pay, plus additional employer contributions in some cases, is highlighted as a strong pillar of financial security. Feedback suggests this structure is a notable advantage of the total rewards package.
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Parental & Family Support — Up to 16 weeks of paid parental leave for all parents, along with fertility, adoption, surrogacy, childcare, and family-support resources, signals a family-forward approach. Feedback suggests these programs are a standout feature of the package.
JPMorganChase Insights
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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