JPMorgan Chase
Lead Software Engineer - Big Data
Plano, TX · Full-time · Posted Jul 29, 2026
- Experience
- 5+ years applied experience.
- Education
- Formal training or certification on Software engineering concepts.
About the job
Leads the design, implementation, and operation of scalable data pipelines and platform infrastructure, while improving reliability and cost and guiding responsible use of AI-assisted engineering tools.
What you'll do
- Design, automate, monitor, and optimize production batch and real-time data transformation pipelines and data lake tables.
- Contribute code to data platforms and SDKs; improve operational stability, reliability, and running costs.
- Set team practices for validating AI-assisted engineering outputs and mentor junior engineers.
What they ask for
- Formal training or certification in software engineering concepts and 5+ years of applied experience.
- Advanced proficiency in one or more programming languages and frameworks, including the listed options such as Python, Java, Scala, or Apache Spark.
- Experience implementing scalable ETL pipelines, Spark data processing, Hadoop partitioning, and Iceberg and Delta table operations.
- Experience with HBase and Cassandra, monitoring tools, CI/CD, and responsible adoption of AI-assisted development tools.
Nice to have
- Knowledge of financial services and its IT systems; practical cloud-native experience.
- Experience with Spring Boot REST APIs, Docker, Git, Azure Data Factory, Databricks, or AWS tools.
Tools
Python, Java, Scala, Apache Spark, Databricks, Grafana, Prometheus, Apache HBase
AI focus
Leads adoption of approved AI-assisted coding, code review, refactoring, test acceleration, troubleshooting, and incident analysis practices, with validation for correctness, performance, security, and responsible handling of sensitive data.
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