Lead Data Engineer
Description For Lead Data Engineer
JPMorgan Chase is seeking a Lead Data Engineer to join the AIML Data Platforms Fusion Data Management Team. In this senior role, you'll leverage your expertise in Python, Java, and Spark to drive improvements in efficiency, revenue optimization, and risk framework enhancement for the Securities Services business.
As a Lead Data Engineer, you'll be an integral part of an agile team responsible for designing and delivering secure, scalable technology products. Working within the Corporate AIML Data Platforms team, you'll collaborate across Product Development and Business teams to develop applications on AWS Analytics platform. The role combines hands-on technical leadership with strategic thinking, requiring both deep technical expertise and the ability to shape analytics strategies.
Your responsibilities will span from writing production-grade code to architectural design, ensuring data consistency and optimization across applications. You'll work with large, diverse datasets to drive continuous improvement of software applications and systems. The role offers opportunities to contribute to engineering communities of practice and explore emerging technologies.
The position offers competitive compensation ranging from $142,500 to $185,000, along with comprehensive benefits including healthcare coverage, retirement plans, and educational support. You'll be part of JPMorgan Chase's Commercial & Investment Bank, a global leader across banking, markets, and securities services.
The ideal candidate brings 5+ years of software engineering experience, strong Python/Java capabilities, and expertise in data pipeline development. You should be comfortable with REST APIs, database design, and modern DevOps practices. Knowledge of cloud platforms, particularly AWS, and experience with tools like Airflow and Argo will be valuable assets.
Join a team that values diversity, equity, and inclusion, while working on cutting-edge technology solutions that impact millions of customers globally. This role offers the opportunity to shape the future of financial technology while working with one of the world's most respected financial institutions.
Responsibilities For Lead Data Engineer
- Executes software solutions, design, development, and technical troubleshooting
- Creates secure and high-quality production code and maintains algorithms
- Produces architecture and design artifacts for complex applications
- Gathers, analyzes, synthesizes, and develops visualizations and reporting from large data sets
- Proactively identifies hidden problems and patterns in data
- Contributes to software engineering communities of practice
- Adds to team culture of diversity, equity, inclusion, and respect
Requirements For Lead Data Engineer
- Formal training or certification on Software Engineering concepts and 5+ years applied experience
- Excellent Python knowledge with experience with Web application frameworks such as Fast API
- Experience in building data pipelines using Python / Java / Pyspark
- Working knowledge in Python base rest API builds including Fast API
- Experience pipeline orchestration tools i.e Argo, Airflow etc.
- Strong database skills with understanding of databases and data modelling concepts
- Solid understanding in Object oriented programming concepts and Design patterns
- Experience in developing, debugging, and maintaining code in a large corporate environment
- Overall knowledge of the Software Development Life Cycle
- Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
Benefits For Lead Data Engineer
- 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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