Software Engineer III - Python/PySpark/Databricks/AWS

JPMorganChase is hiring a Software Engineer III for its Corporate Sector-Global Finance team. The role designs, builds, and supports secure, stable, scalable technology, with a focus on data pipelines, data management, and production software solutions.

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

Preferred

• 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
• Snowflake
• Terraform
• Large Language Models (LLMs)
• Data Observability
• Data Quality
• Query Optimization
• Cost Optimization
• AWS Solutions Architect Associate
• AWS Associate Developer Certification
• AWS Data Analytics Specialty
• Databricks Certification

Benefits

• 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.
• Comprehensive health care coverage
• On-site health and wellness centers
• A retirement savings plan
• Backup childcare
• Tuition reimbursement
• Mental health support
• Financial coaching

Company

• Global financial institution offering banking, asset management, and advisory services
• New York, New York, USA
• https://www.jpmorganchase.com/
• Founded in 2000
• 10001+ employees

Qualifications

• 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
• 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

Required skills

• Python, PySpark, Databricks, AWS Glue, Amazon S3, Amazon SQS/SNS, AWS Lambda, SQL, Apache Airflow, Delta Lake, Big Data and Data Warehousing, CI/CD

Preferred skills

• Familiarity with Snowflake, Terraform and LLM

Experience

• 3+ years