Software Engineer III- Python/PySpark

Testing Site - JPMC; Jersey City (NJ); On-site; USD 110,000 - 170,000; Full time

Job summary

JPMorganChase in Jersey City, NJ is seeking a Software Engineer III to join the Corporate Technology Financial Planning and Analysis team. You will design and deliver secure, scalable data-driven solutions, collaborating with data scientists and analysts across business functions.

Responsibilities include building production-grade code, optimizing data workflows, and implementing data governance, security, and CI/CD practices using AWS, Databricks, PySpark, Python and Java within an agile

Qualifications

• 3+ years of software development experience.
• Experience with data workflows and big data concepts.
• Proficient in Python or Java.
• Experience with AWS and cloud-based data solutions.

Responsibilities

• Design, develop and troubleshoot software solutions with scalable architecture.
• Create secure production code and maintain data processing algorithms.
• Collaborate with data scientists to meet data requirements.
• Optimize data workflows for performance and reliability.
• Document data processes and promote knowledge sharing.
• Maintain and improve CI/CD, security, and governance.

Skills

Python

Java

PySpark

Data analysis

CI/CD

Tools

Databricks

AWS

S3

EKS/ECS

Lambda

SQL

PostgreSQL

DynamoDB

Job description

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III at JPMorganChase within the Corporate Technology Financial Planning and Analysis team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Work closely with data scientists and analysts to comprehend data requirements and deliver solutions that align with business objectives
• Optimize and troubleshoot data workflows to ensure high performance and reliability
• Implement best practices for data governance, security, and compliance
• Utilize Databricks for advanced data processing and analytics tasks, while monitoring and managing data infrastructure to ensure scalability and cost effectiveness
• Document data processes and workflows to promote transparency and facilitate knowledge sharing
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
• Contributes to software engineering communities of practice and events that explore new and emerging technologies
• Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and3+ years applied experience
• Hands-on practical experience in system design, application development, testing, and operational stability
• Design and implement data solutions on AWS, utilizing services such as S3, EKS/ECS, Lambda
• Strong development experience in Pythonor Java
• Expertise in PySpark/Spark and familiarity with big data frameworks
• Hands-on experience with AWS services and cloud-based data solutions
• Experience with database technologies such as SQL, PostgreSQL, or DynamoDB
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Overall knowledge of the Software Development Life Cycle
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

Preferred qualifications, capabilities, and skills

• Experience with data warehousing solutions and ETL processes
• Proficiency in data visualization tools and techniques
• Familiarity with Databricks and its ecosystem