JPMorgan Chase offers a competitive total rewards package and a culture that values diverse talent and collaboration. This on site Tampa, FL role anchors critical data pipelines for the Commercial and Investment Bank, delivering secure, scalable data collection, storage, access, and analytics. As a core technical contributor, you will build, refine and deploy pipelines and architectures that align with business objectives within an agile team.
Benefits
- Base salary
- Commission-based pay
- Discretionary incentive compensation (cash and/or forfeitable equity)
- Comprehensive health care coverage
- On-site health and wellness centers
- Retirement savings plan
- Backup childcare
- Tuition reimbursement
- Mental health support
- Financial coaching
Responsibilities
- Collaborate with JPMorgan's lines of business and functions to deliver software solutions
- Design, experiment and implement efficient data pipelines, data services, and data platforms that support business needs
- Build scalable, reliable data processing pipelines and perform analyses to drive and optimize business results
- Develop features and entities for machine learning and rule-based workflows using Spark or other big data environments
- Identify opportunities to align physical, IT, and data security architectures to manage access
- Incorporate reuse-first and AI-assisted practices in delivery and operations, ensuring traceability, auditability and alignment with resiliency and security expectations
Requirements
- Formal training or certification in data engineering with 5+ years of applied experience
- Experience using enterprise-approved AI capabilities to support data engineering workflows, with strong validation habits and awareness of data sensitivity
- Ability to review and validate AI-assisted outputs before use, escalating when uncertain and adhering to data handling requirements
- Proficient programming skills in Python and PySpark
- Experience across the data lifecycle, building data frameworks and working with data lakes
- Experience with batch and real-time data processing using Spark or Flink, and feature engineering in batch/real-time contexts
- Working knowledge of AWS Glue and EMR for data processing and real-time data processing, with Spark streaming, Flink or Databricks live tables
- Experience with Databricks and Databricks live tables
- Experience building services with Glue, Lamida, EMR, or Flask, and deploying on AWS EKS or Kubernetes
- Proficiency with both relational and NoSQL databases
- Experience in ETL pipelines for batch and real-time data processing, data warehousing and NoSQL databases
Technologies
- Python
- PySpark
- Spark
- Spark Streaming
- Flink
- Hadoop
- Kafka
- Databricks
- Databricks live tables
- AWS Glue
- AWS EMR
- Flask
- Lamida
- AWS EKS
- Kubernetes
- Docker
About JPMorgan Chase
JPMorgan Chase is a historic financial institution delivering innovative solutions to consumers, small businesses and large organizations globally. The company offers opportunities across investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management, supported by a competitive rewards package and a focus on diversity and inclusion.
About the Team
JPMorgan Chase’s Commercial and Investment Bank operates across banking, markets, securities services and payments, serving corporations, governments and institutions in more than 100 countries. The team partners with clients to provide strategic advice, capital solutions and risk management.
