We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As an Software Engineer III - Python/PySpark/Databricks/AWS at JPMorgan Chase within the Corporate Sector-Global Finance team, you will be a key member of an agile team, tasked with designing and delivering cutting-edge products that are secure, stable, and scalable. Your role involves implementing essential technology solutions across diverse technical domains to support the firm's business goals effectively.
Job responsibilities
- Developing and optimizing data pipelines and workflows to support data integration, transformation, and analysis
- Implementing best practices for data management, ensuring data quality, security, and compliance
- Writing secure, high-quality production code following AWS best practices, and deploying efficiently using CI/CD pipelines
- Creating architecture and design documents for complex applications, ensuring software code meets design constraints
- Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
- Applies 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.
- Identifying hidden issues and patterns in data to enhance coding practices and system architecture
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 3+ years applied experience
- Experience with Spark and SQL
- Expertise in Lakehouse/Delta Lake architecture, system design, application development, testing, and ensuring operational stability
- Strong programming skills in Python/PySpark, Databricks, AWS Glue, S3, SQS/SNS, Lambda etc., SQL
- Proficient in orchestration using Airflow
- In-depth knowledge of Big Data and data warehousing concepts
- Experience with CI/CD processes
- Solid understanding of agile methodologies, including DevOps practices, application resiliency, and security measures
- Proven expertise in software applications and technical processes within a specialized technical domain
- Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
- Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
Preferred qualifications, capabilities, and skills
- Familiarity with Snowflake, Terraform and LLM
- Familiarity with Data Observability, Data Quality, Query Optimization & Cost Optimization
- AWS certifications such as SAA, Associate Developer, Data Analytics Specialty, or Databricks certification
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 software engineering concepts
- 3+ years of applied software engineering experience
- Experience with Apache Spark and SQL
- Expertise in Lakehouse and Delta Lake architecture
- Experience with system design, application development, testing, and operational stability
- Strong programming skills in Python and PySpark
- Experience with Databricks, AWS Glue, Amazon S3, Amazon SQS, Amazon SNS, and AWS Lambda
- Proficiency with orchestration using Apache Airflow
- In-depth knowledge of big data and data warehousing concepts
- Experience with CI/CD processes
- Understanding of agile methodologies, DevOps practices, application resiliency, and security measures
- Expertise in software applications and technical processes within a specialized technical domain
- Hands-on experience using enterprise-authorized AI-assisted software development tools
- Ability to evaluate, validate, and refine AI-generated outputs for correctness, performance, and security
- Understanding of responsible AI use, data sensitivity, secure input/output handling, resiliency, and security expectations
- Ability to guide peers on safe and effective AI-assisted engineering practices
- Familiarity with Snowflake, Terraform, and LLMs
- Familiarity with data observability, data quality, query optimization, and cost optimization
- AWS certification such as Solutions Architect Associate, Associate Developer, or Data Analytics Specialty
- Databricks 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 — Health coverage is considered comprehensive, including medical, dental, and vision, alongside wellness and mental health resources. Some locations add onsite health centers and related wellbeing support.
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Retirement Support — Retirement offerings include a 401(k)-type savings plan and related financial benefits, with options such as employee stock purchase participation. Financial planning resources are also highlighted to support long-term savings.
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Parental & Family Support — Paid parental leave of 16 weeks for birth or adoption is available for all parents. Child care and back-up child care resources further reinforce family support.
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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