Software Engineer III - Python/PySpark/Databricks/AWS

JPMorgan Chase & Co.•Wilmington, DE

About The Position

As a 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 designing and delivering secure, stable, and scalable products. The role involves implementing technology solutions across diverse technical domains to support the firm's business goals. You will develop and optimize data pipelines and workflows; apply data management practices that promote quality, security, and compliance; and write high-quality production code using AWS best practices and CI/CD pipelines. You will also create architecture and design documents for complex applications and ensure software meets design constraints. The role uses enterprise-authorized AI coding and development tools to improve code quality, delivery speed, and productivity. AI-generated work must be validated through peer review, automated testing, and secure coding practices. The engineer also identifies patterns and issues in data to improve coding practices and system architecture, and contributes reusable learnings to the team.

Requirements

  • Formal training or certification in software engineering concepts and at least 3 years of applied experience.
  • Experience with Spark and SQL.
  • Expertise in Lakehouse/Delta Lake architecture, system design, application development, testing, and operational stability.
  • Strong programming skills in Python/PySpark, Databricks, AWS Glue, S3, SQS/SNS, Lambda, and SQL.
  • Proficiency 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, with the ability to evaluate, validate, and refine generated outputs for correctness, performance, and security.
  • Understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and adherence to resiliency and security expectations.

Nice To Haves

  • Familiarity with Snowflake, Terraform, and LLM.
  • Familiarity with data observability, data quality, query optimization, and cost optimization.
  • AWS certifications such as SAA, Associate Developer, or Data Analytics Specialty, or a Databricks certification.

Responsibilities

  • Develop and optimize data pipelines and workflows for data integration, transformation, and analysis.
  • Apply data management best practices to ensure data quality, security, and compliance.
  • Write secure, high-quality production code following AWS best practices and deploy efficiently using CI/CD pipelines.
  • Create architecture and design documents for complex applications and ensure software code meets design constraints.
  • Use enterprise-authorized AI coding and development tools to improve code quality, delivery speed, and productivity; validate outputs through peer review, automated testing, and secure coding standards.
  • Apply knowledge of the Software Development Life Cycle toolchain, including authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
  • Identify hidden issues and patterns in data to enhance coding practices and system architecture.
  • Contribute learnings and reusable patterns to improve broader team effectiveness.
  • Guide peers on safe and effective AI-assisted engineering practices.

Benefits

  • Competitive total rewards package.
  • Eligible roles may receive commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity.
  • Comprehensive health care coverage.
  • On-site health and wellness centers.
  • Retirement savings plan.
  • Backup childcare.
  • Tuition reimbursement.
  • Mental health support.
  • Financial coaching.
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