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PySpark/AWS Lead Software Engineer

JP Morgan Chase

Software and Technology Jobs

PySpark/AWS Lead Software Engineer

full-timePosted: Nov 12, 2025

Job Description

PySpark/AWS Lead Software Engineer

Location: Tampa, FL, United States

Job Family: Software Engineering

About the Role

At JPMorgan Chase, we are at the forefront of transforming the financial services industry through innovative technology solutions. As a PySpark/AWS Lead Software Engineer in our Tampa, FL office, you will play a pivotal role in an agile team responsible for building and maintaining critical data platforms that power banking operations, risk analysis, and customer insights. Leveraging your expertise in PySpark and AWS, you will lead the development of scalable, secure data processing systems that handle vast volumes of financial transactions and regulatory data, ensuring our global operations remain efficient and compliant in a fast-paced environment. Your responsibilities will include architecting end-to-end data solutions using PySpark for complex ETL processes on AWS infrastructure, while collaborating closely with data scientists, product managers, and compliance teams. You will mentor engineers, drive technical excellence through code reviews and best practices, and innovate with cloud-native tools to optimize costs and performance. In this leadership position, you will contribute to agile ceremonies, troubleshoot production issues, and align technical decisions with JPMorgan Chase's strategic goals in areas like fraud detection, portfolio management, and real-time analytics. This role offers the opportunity to work on high-impact projects that directly influence the bank's digital transformation and client services. Joining JPMorgan Chase means becoming part of a collaborative culture that values innovation, diversity, and professional growth, with access to cutting-edge resources and a supportive community dedicated to excellence in financial technology.

Key Responsibilities

  • Lead the design, development, and implementation of PySpark-based data processing solutions on AWS infrastructure
  • Collaborate with cross-functional agile teams to deliver critical technology solutions for financial services applications
  • Mentor junior engineers and conduct code reviews to ensure high-quality, scalable code
  • Optimize data workflows for performance, cost-efficiency, and reliability in a cloud environment
  • Integrate security best practices and ensure compliance with JPMorgan Chase's regulatory requirements
  • Troubleshoot and resolve complex technical issues in production environments
  • Drive innovation by exploring emerging AWS technologies to enhance data analytics capabilities
  • Contribute to sprint planning, backlog grooming, and retrospectives in an agile framework
  • Document technical architectures and processes for knowledge sharing across the team

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field
  • 5+ years of experience in software engineering with a focus on big data technologies
  • Proficiency in PySpark and AWS services including EMR, S3, and Lambda
  • Strong experience in agile methodologies and leading technical teams
  • Demonstrated ability to develop and deploy scalable data processing solutions in a financial services environment
  • Knowledge of data security and compliance standards relevant to banking (e.g., GDPR, SOX)

Preferred Qualifications

  • Master's degree in a technical discipline
  • Experience with financial data pipelines and risk management systems at a major bank
  • Certifications in AWS (e.g., AWS Certified Solutions Architect) or Apache Spark
  • Prior leadership role in a PySpark-based project within the fintech sector

Required Skills

  • PySpark programming and optimization
  • AWS cloud services (EMR, S3, EC2, Lambda)
  • Big data processing and ETL pipelines
  • Agile methodologies (Scrum, Kanban)
  • Python scripting and data manipulation
  • SQL and relational database management
  • Data security and encryption protocols
  • Version control with Git
  • Problem-solving and debugging in distributed systems
  • Leadership and team collaboration
  • Financial domain knowledge (e.g., risk modeling, transaction processing)
  • Performance tuning for large-scale data environments
  • CI/CD pipeline implementation
  • Communication and stakeholder management

Benefits

  • Competitive base salary and performance-based annual bonuses
  • Comprehensive health, dental, and vision insurance plans
  • 401(k) retirement savings plan with company matching contributions
  • Generous paid time off, including vacation, sick days, and parental leave
  • Professional development opportunities, including tuition reimbursement and certifications
  • Employee stock purchase plan and financial wellness programs
  • On-site fitness centers and wellness initiatives at JPMorgan Chase campuses
  • Flexible work arrangements, including hybrid options in Tampa, FL

JP Morgan Chase is an equal opportunity employer.

Locations

  • Tampa, US

Salary

Estimated Salary Rangehigh confidence

180,000 - 250,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • PySpark programming and optimizationintermediate
  • AWS cloud services (EMR, S3, EC2, Lambda)intermediate
  • Big data processing and ETL pipelinesintermediate
  • Agile methodologies (Scrum, Kanban)intermediate
  • Python scripting and data manipulationintermediate
  • SQL and relational database managementintermediate
  • Data security and encryption protocolsintermediate
  • Version control with Gitintermediate
  • Problem-solving and debugging in distributed systemsintermediate
  • Leadership and team collaborationintermediate
  • Financial domain knowledge (e.g., risk modeling, transaction processing)intermediate
  • Performance tuning for large-scale data environmentsintermediate
  • CI/CD pipeline implementationintermediate
  • Communication and stakeholder managementintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field (experience)
  • 5+ years of experience in software engineering with a focus on big data technologies (experience)
  • Proficiency in PySpark and AWS services including EMR, S3, and Lambda (experience)
  • Strong experience in agile methodologies and leading technical teams (experience)
  • Demonstrated ability to develop and deploy scalable data processing solutions in a financial services environment (experience)
  • Knowledge of data security and compliance standards relevant to banking (e.g., GDPR, SOX) (experience)

Preferred Qualifications

  • Master's degree in a technical discipline (experience)
  • Experience with financial data pipelines and risk management systems at a major bank (experience)
  • Certifications in AWS (e.g., AWS Certified Solutions Architect) or Apache Spark (experience)
  • Prior leadership role in a PySpark-based project within the fintech sector (experience)

Responsibilities

  • Lead the design, development, and implementation of PySpark-based data processing solutions on AWS infrastructure
  • Collaborate with cross-functional agile teams to deliver critical technology solutions for financial services applications
  • Mentor junior engineers and conduct code reviews to ensure high-quality, scalable code
  • Optimize data workflows for performance, cost-efficiency, and reliability in a cloud environment
  • Integrate security best practices and ensure compliance with JPMorgan Chase's regulatory requirements
  • Troubleshoot and resolve complex technical issues in production environments
  • Drive innovation by exploring emerging AWS technologies to enhance data analytics capabilities
  • Contribute to sprint planning, backlog grooming, and retrospectives in an agile framework
  • Document technical architectures and processes for knowledge sharing across the team

Benefits

  • general: Competitive base salary and performance-based annual bonuses
  • general: Comprehensive health, dental, and vision insurance plans
  • general: 401(k) retirement savings plan with company matching contributions
  • general: Generous paid time off, including vacation, sick days, and parental leave
  • general: Professional development opportunities, including tuition reimbursement and certifications
  • general: Employee stock purchase plan and financial wellness programs
  • general: On-site fitness centers and wellness initiatives at JPMorgan Chase campuses
  • general: Flexible work arrangements, including hybrid options in Tampa, FL

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JP Morgan Chase logo

PySpark/AWS Lead Software Engineer

JP Morgan Chase

Software and Technology Jobs

PySpark/AWS Lead Software Engineer

full-timePosted: Nov 12, 2025

Job Description

PySpark/AWS Lead Software Engineer

Location: Tampa, FL, United States

Job Family: Software Engineering

About the Role

At JPMorgan Chase, we are at the forefront of transforming the financial services industry through innovative technology solutions. As a PySpark/AWS Lead Software Engineer in our Tampa, FL office, you will play a pivotal role in an agile team responsible for building and maintaining critical data platforms that power banking operations, risk analysis, and customer insights. Leveraging your expertise in PySpark and AWS, you will lead the development of scalable, secure data processing systems that handle vast volumes of financial transactions and regulatory data, ensuring our global operations remain efficient and compliant in a fast-paced environment. Your responsibilities will include architecting end-to-end data solutions using PySpark for complex ETL processes on AWS infrastructure, while collaborating closely with data scientists, product managers, and compliance teams. You will mentor engineers, drive technical excellence through code reviews and best practices, and innovate with cloud-native tools to optimize costs and performance. In this leadership position, you will contribute to agile ceremonies, troubleshoot production issues, and align technical decisions with JPMorgan Chase's strategic goals in areas like fraud detection, portfolio management, and real-time analytics. This role offers the opportunity to work on high-impact projects that directly influence the bank's digital transformation and client services. Joining JPMorgan Chase means becoming part of a collaborative culture that values innovation, diversity, and professional growth, with access to cutting-edge resources and a supportive community dedicated to excellence in financial technology.

Key Responsibilities

  • Lead the design, development, and implementation of PySpark-based data processing solutions on AWS infrastructure
  • Collaborate with cross-functional agile teams to deliver critical technology solutions for financial services applications
  • Mentor junior engineers and conduct code reviews to ensure high-quality, scalable code
  • Optimize data workflows for performance, cost-efficiency, and reliability in a cloud environment
  • Integrate security best practices and ensure compliance with JPMorgan Chase's regulatory requirements
  • Troubleshoot and resolve complex technical issues in production environments
  • Drive innovation by exploring emerging AWS technologies to enhance data analytics capabilities
  • Contribute to sprint planning, backlog grooming, and retrospectives in an agile framework
  • Document technical architectures and processes for knowledge sharing across the team

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field
  • 5+ years of experience in software engineering with a focus on big data technologies
  • Proficiency in PySpark and AWS services including EMR, S3, and Lambda
  • Strong experience in agile methodologies and leading technical teams
  • Demonstrated ability to develop and deploy scalable data processing solutions in a financial services environment
  • Knowledge of data security and compliance standards relevant to banking (e.g., GDPR, SOX)

Preferred Qualifications

  • Master's degree in a technical discipline
  • Experience with financial data pipelines and risk management systems at a major bank
  • Certifications in AWS (e.g., AWS Certified Solutions Architect) or Apache Spark
  • Prior leadership role in a PySpark-based project within the fintech sector

Required Skills

  • PySpark programming and optimization
  • AWS cloud services (EMR, S3, EC2, Lambda)
  • Big data processing and ETL pipelines
  • Agile methodologies (Scrum, Kanban)
  • Python scripting and data manipulation
  • SQL and relational database management
  • Data security and encryption protocols
  • Version control with Git
  • Problem-solving and debugging in distributed systems
  • Leadership and team collaboration
  • Financial domain knowledge (e.g., risk modeling, transaction processing)
  • Performance tuning for large-scale data environments
  • CI/CD pipeline implementation
  • Communication and stakeholder management

Benefits

  • Competitive base salary and performance-based annual bonuses
  • Comprehensive health, dental, and vision insurance plans
  • 401(k) retirement savings plan with company matching contributions
  • Generous paid time off, including vacation, sick days, and parental leave
  • Professional development opportunities, including tuition reimbursement and certifications
  • Employee stock purchase plan and financial wellness programs
  • On-site fitness centers and wellness initiatives at JPMorgan Chase campuses
  • Flexible work arrangements, including hybrid options in Tampa, FL

JP Morgan Chase is an equal opportunity employer.

Locations

  • Tampa, US

Salary

Estimated Salary Rangehigh confidence

180,000 - 250,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • PySpark programming and optimizationintermediate
  • AWS cloud services (EMR, S3, EC2, Lambda)intermediate
  • Big data processing and ETL pipelinesintermediate
  • Agile methodologies (Scrum, Kanban)intermediate
  • Python scripting and data manipulationintermediate
  • SQL and relational database managementintermediate
  • Data security and encryption protocolsintermediate
  • Version control with Gitintermediate
  • Problem-solving and debugging in distributed systemsintermediate
  • Leadership and team collaborationintermediate
  • Financial domain knowledge (e.g., risk modeling, transaction processing)intermediate
  • Performance tuning for large-scale data environmentsintermediate
  • CI/CD pipeline implementationintermediate
  • Communication and stakeholder managementintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field (experience)
  • 5+ years of experience in software engineering with a focus on big data technologies (experience)
  • Proficiency in PySpark and AWS services including EMR, S3, and Lambda (experience)
  • Strong experience in agile methodologies and leading technical teams (experience)
  • Demonstrated ability to develop and deploy scalable data processing solutions in a financial services environment (experience)
  • Knowledge of data security and compliance standards relevant to banking (e.g., GDPR, SOX) (experience)

Preferred Qualifications

  • Master's degree in a technical discipline (experience)
  • Experience with financial data pipelines and risk management systems at a major bank (experience)
  • Certifications in AWS (e.g., AWS Certified Solutions Architect) or Apache Spark (experience)
  • Prior leadership role in a PySpark-based project within the fintech sector (experience)

Responsibilities

  • Lead the design, development, and implementation of PySpark-based data processing solutions on AWS infrastructure
  • Collaborate with cross-functional agile teams to deliver critical technology solutions for financial services applications
  • Mentor junior engineers and conduct code reviews to ensure high-quality, scalable code
  • Optimize data workflows for performance, cost-efficiency, and reliability in a cloud environment
  • Integrate security best practices and ensure compliance with JPMorgan Chase's regulatory requirements
  • Troubleshoot and resolve complex technical issues in production environments
  • Drive innovation by exploring emerging AWS technologies to enhance data analytics capabilities
  • Contribute to sprint planning, backlog grooming, and retrospectives in an agile framework
  • Document technical architectures and processes for knowledge sharing across the team

Benefits

  • general: Competitive base salary and performance-based annual bonuses
  • general: Comprehensive health, dental, and vision insurance plans
  • general: 401(k) retirement savings plan with company matching contributions
  • general: Generous paid time off, including vacation, sick days, and parental leave
  • general: Professional development opportunities, including tuition reimbursement and certifications
  • general: Employee stock purchase plan and financial wellness programs
  • general: On-site fitness centers and wellness initiatives at JPMorgan Chase campuses
  • general: Flexible work arrangements, including hybrid options in Tampa, FL

Target Your Resume for "PySpark/AWS Lead Software Engineer" , JP Morgan Chase

Get personalized recommendations to optimize your resume specifically for PySpark/AWS Lead Software Engineer. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "PySpark/AWS Lead Software Engineer" , JP Morgan Chase

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Software EngineeringFinancial ServicesBankingJP MorganSoftware Engineering

Answer 10 quick questions to check your fit for PySpark/AWS Lead Software Engineer @ JP Morgan Chase.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.