Senior Lead Software Engineer - Data Engineer

J.P. Morgan; Jersey City (NJ); On-site; USD 120,000 - 180,000; Full time

Job summary

Join a dynamic and innovative team as a Senior Lead Software Engineer, where your expertise will drive significant business impact through the development of cutting-edge technology products. This role emphasizes collaboration within a diverse and inclusive environment, focusing on building scalable data applications and influencing product design. With a strong emphasis on technical excellence, you'll tackle complex challenges using advanced programming skills and modern data technologies. If you're passionate about leveraging your technical knowledge to make a difference, this opportunity is perfect for you.

Qualifications

• 5+ years of experience in software engineering with a focus on data applications.
• Strong experience in cloud technologies and data governance tools.

Responsibilities

• Drive key tech initiatives and evaluate tooling for enterprise-grade platforms.
• Develop secure, high-quality production code and provide technical guidance.

Skills

Python/PySpark

Scala

Java

SQL

Data Governance

Software Engineering Concepts

Cloud Technologies

Machine Learning

Education

Computer Science

Computer Engineering

Mathematics

Tools

Databricks

Data Lakehouse

Job description

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 Senior Lead Software Engineer at JPMorgan Chase within the Corporate Sector's Data and Analytics Services 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.

Job responsibilities

• Driving some of the key tech initiatives and will evaluate tooling and design options to build enterprise grade platform capabilities as part of a data engineering team.
• 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
• Adds to the team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years of applied experience
• Extensive experience with design and architecture background to build large distributed data applications.
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s) – Python/PySpark, Scala , or Java
• Experience with databricks and data lakehouse
• AWS Solution Architect certification
• Strong and significant experience working with modern data technologies and must have strong SQL skills.
• Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• Ability to tackle design and functionality problems independently with little to no oversight
• Domain experience with data governance tools such as data entitlement, catalog , data quality and lineage
• Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field

Preferred qualifications, capabilities, and skills

• Exposure to OLAP/Cube Technologies
• Databricks Solution Architect certification