Senior Software Engineer - Data Engineering

Software Engineer III - Data Engineer, AWS, ETL, Python

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 Employee Platforms, 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
• Design, develop, and maintain scalable data pipelines to extract, transform, and load (ETL) data from various sources into data warehouses or data lakes.
• Build and manage relational and non-relational databases, ensuring data integrity, security, and performance.
• Integrate data from multiple internal and external sources, ensuring consistency and quality across platforms.
• Automate data processing tasks and workflows to improve efficiency and reduce manual intervention.
• Monitor data pipelines and systems for performance issues, troubleshoot problems, and implement solutions.
• 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
• Document data engineering processes, architectures, and data flows for transparency and maintainability

 

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 2+ years applied experience 
• Hands-on practical experience in system design, application development, testing, and operational stability
• Proficient in coding in one or more languages
• 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
• Proficiency in programming languages such as Python, Java, or Scala
• Experience in Databricks
• Experience with ETL tools and frameworks
• Strong knowledge of SQL and database technologies (e.g., MySQL, PostgreSQL).
• Experience with cloud platforms (e.g., AWS,) and their data services.
• Understanding of data warehousing concepts and architectures

 

 

Preferred qualifications, capabilities, and skills

• Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• Master’s degree or relevant certifications (e.g., AWS Certified Data Analytics).
• Experience with data governance, data quality, and data security practices.
• Knowledge of DevOps practices and CI/CD pipelines.
• Experience with real-time data processing and streaming analytics

Experience Level

Senior Level