Software Engineer III - Python/PySpark/Databricks/AWS

JPMorgan Chase & Co.
Wilmington, DE, United States
12 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Job source

Tech stack

Agile Methodology Artificial Intelligence Airflow Amazon Web Services Amazon S3 Software Applications Automation of Tests Unit Testing Big Data Code Generation Software Quality Computer Programming
+27 more
Continuous Integration Data Integration Data Warehousing Software Design Documents DevOps Python (Programming Language) Query Optimization Standard Sql DataOps Secure Coding Software Engineering Systems Architecture Toolchain Large Language Models Snowflake Apache Spark AI Coding Agents Data Lakes Pyspark Production Code AWS Glue Data Analytics Data Management Amazon Simple Queue Service (SQS) Terraform Data Pipelines Databricks

Job description

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., * 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

Requirements

  • 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

Benefits & conditions

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.

About the company

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management., Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

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