Software Engineer - Data/Payments Technology
Core
Design, build, and maintain scalable data platforms and ETL pipelines for large-scale data ingestion and integration in cloud and hybrid environments.
Role type
Senior IC data engineering software engineer
Builds
Scalable data platforms, ETL processes, and data infrastructure for commercial and investment banking sales enablement
Domain
Financial services / Big Data / Cloud Data Engineering
Required skills
Python, Java, SQL, Big Data platforms (Databricks, Snowflake, Iceberg), relational/NoSQL databases, AWS/Azure/GCP, ETL/ELT, data modeling, data security and compliance, AI-assisted development tools, CI/CD, agile practices
Preferred skills
Hadoop, Kafka, Docker, Kubernetes, observability tools, cloud data engineering certification, AI/ML platforms, data science workflows, regulated industry experience
Technologies
AWS, Azure, GCP, Databricks, Snowflake, Iceberg, Hadoop, Kafka, Docker, Kubernetes, Oracle, PostgreSQL
Responsibilities
Develop, optimize, and maintain data pipelines and ETL processes for large-scale ingestion and transformation. Partner with data scientists and stakeholders to deliver reliable, scalable data solutions. Use and validate AI-assisted coding tools to improve code quality and productivity. Create architecture and design artifacts for complex applications. Analyze and visualize large datasets to support system improvements. Implement data quality checks, monitoring, and secure coding practices. Contribute to automation, troubleshooting, and continuous improvement of data infrastructure. Support incident response for data infrastructure and pipelines.
Seniority
Senior, hands-on IC (via careerplan.io/jobs/ge613785-software-engineer-datapayments-technology-at-j-p-morgan)
