Lead Software Engineer - Data Engineering

Lead Software Engineer - DataBricks, SQL

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Lead Software Engineer at JPMorganChase within the Chief Technology Office team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications. We are looking for a Data Engineer to help us with the design, development, deployment, delivery, and maintenance of AI products to our clients. In this role, you will lead a team of other software engineers, and work closely with data engineers & research scientists. You will serve as a seasoned member of an existing agile team that will deliver trusted market-leading AI technology products in a secure, stable, and scalable way.

Job responsibilities

• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives decisions that influence the product design, application functionality, and technical operations and processes
• Serves as a function-wide subject matter expert in one or more areas of focus
• Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software  Development Life Cycle
• Influences peers and project decision-makers to consider the use and application of leading-edge technologies

 

Required qualifications, capabilities, and skills

• Formal training or certification of software engineering concepts with 5+ years applied experience
• Exposure to cloud technologies (AWS or GCP) via hands on experience or certification
• Solid understanding of software applications and technical processes within a related technical discipline (e.g. data ingestion, data storage, data serving, APIs, etc.)
• Hands-on experience in data lake or data warehouse and related technologies (e.g. Spark, ETL, Databricks)
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Extensive development experience using Python/SQL

 

Preferred qualifications, capabilities, and skills

• Ability to tackle design and functionality problems independently with little to no oversight
• Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field

Experience Level

Senior Level