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⚙️Data Engineer

Lead Software Engineer

JPMorgan Cha · OH, United States
// classified as
Data Engineer (Pipelines, infra, ingestion, ETL.)
posted
1d ago
location
OH, United States
languages
java, python, sql
tools
aws, dbt, delta
> stack
javapythonsqlawsdbtdeltaicebergkafkasnowflakeairflowdbtpyspark
> description

This is your chance to change the path of your career and work at one of the world's leading financial institutions.

 

As a Lead Software Engineer – Data Engineering at JPMorgan Chase within the Consumer & Community Banking/Data Products team, 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:

  • Design, develop, and optimize large-scale ETL (Extract Transform Load) data pipelines. 

  • Build high-quality Python applications using modular code, reusable components, logging, and automated testing. 

  • Develop and maintain distributed data processing solutions using PySpark. 

  • Large scale end-to-end testing design and validation. 

  • Implement and support workflow orchestration using Control-M or Apache Airflow (MWAA). 

  • Develop cloud-native solutions leveraging AWS services, including Glue, Athena, Lambda, and CloudWatch. 

  • Design and manage modern data lake architectures utilizing Iceberg and/or Delta Lake. 

  • Administer and optimize Snowflake environments, including streams, tasks, roles, and warehouses. 

  • Participate in code reviews and champion engineering best practices, testing standards, and CI/CD processes. 

  • Leverage approved AI-assisted development tools while ensuring secure, responsible, and compliant software delivery.

 

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 5+ years applied experience with a strong focus on data engineering.

  • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages – Python (primary) & Java (secondary)

  • Hands-on experience with PySpark or other distributed data processing frameworks. 

  • Strong expertise in DBT (Data Build Tool) and modern ETL (Extract Transform Load)  development practices. 

  • Experience with workflow orchestration platforms such as Control-M or Apache Airflow (MWAA). 

  • Expertise with AWS data services, including Glue, Athena, CloudWatch, and Lambda. 

  • Knowledge of modern open table formats such as Iceberg and/or Delta Lake. 

  • Experience with Snowflake administration and development. 

  • Strong SQL skills and experience with modern database technologies. 

  • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.

  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.

 

Preferred qualifications, capabilities, and skills

  • Experience with Kafka, Flink, or other streaming technologies. 

  • Familiarity with AI/ML technologies including LLMs, prompt engineering, vector search, and responsible AI practices. 

  • Experience using AI-assisted software development tools such as GitHub Copilot, Claude, or similar technologies. 

  • Financial services industry experience and understanding of large-scale enterprise data environments. 

  • Experience mentoring engineers and leading technical delivery initiatives.

 

 

Apply at JPMorgan Cha →