Lead Data & AI ETL Engineer (Java/Spark)

JPMorgan Chase & Co.; Columbus (OH); On-site; USD 140,000 - 180,000; Full time

Job summary

JPMorganChase in Columbus, OH, seeks a Lead Software Engineer to advance its Consumer & Community Banking Marketing Technology team. You will be a core technical contributor within an agile environment, delivering secure, scalable technology products across multiple business functions.

You will lead architecture and hands-on delivery of large-scale ETL/ELT pipelines, design data lake patterns, optimize Spark workloads, and implement best practices, CI/CD, and observability while building Java

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Demonstrated experience leading effective use of AI-assisted software development tools with the ability to set team expectations for validating outputs for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations and secure handling of inputs/outputs
• 10+ years of software engineering experience with strong depth in data engineering/big data platforms
• Strong hands-on development experience in Java plus proficiency in Python
• Proven experience designing and building robust ETL/ELT pipelines and data integration frameworks
• Strong experience with Apache Spark and distributed processing concepts
• Strong understanding of data storage serialization and formats such as Parquet and Avro
• Solid knowledge of data lake/lakehouse concepts including data quality, metadata, and governance
• Experience working with cloud data warehouses such as Snowflake or equivalent
• Ability to lead technical discussions and drive delivery in cross-functional environments

Responsibilities

• Executes creative software solutions, design, development, and troubleshooting with ability to think beyond routine
• Drives team adoption of AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes
• Applies knowledge of SDLC tools to improve automation and value
• Lead architecture and hands-on delivery of large-scale data pipelines (ETL/ELT) across curated layers
• Design and operationalize data lake patterns with quality controls and governance
• Build and optimize distributed processing workloads using Spark and modern file formats
• Drive performance tuning across compute and storage and warehouse tuning
• Implement engineering best practices: code quality, automated testing, CI/CD, observability, security-by-design
• Build and maintain Java-based services and components supporting data workflows
• Develop REST APIs and integration components for platform interoperability
• Apply modern application engineering practices (clean architecture, SOLID, test automation, secure coding)

Skills

Java

Python

Data engineering

Spark

Cloud data platforms

Education

Bachelor's degree in Computer Science

Tools

Apache Spark

Parquet

Avro

Snowflake

Airflow

Dagster

Job description

JPMorganChase in Columbus, OH, seeks a Lead Software Engineer to advance its Consumer & Community Banking Marketing Technology team. You will be a core technical contributor within an agile environment, delivering secure, scalable technology products across multiple business functions.

You will lead architecture and hands-on delivery of large-scale ETL/ELT pipelines, design data lake patterns, optimize Spark workloads, and implement best practices, CI/CD, and observability while building Java