Lead Data Engineer - Python, Pyspark & AWS
Role details
Job location
Tech stack
Job description
Join us to shape the future of payments technology and regulatory reporting. You will have the opportunity to work with cutting-edge cloud platforms and data engineering tools, making a real impact on our business and your career growth. We value your expertise and encourage you to bring your ideas to a team that thrives on innovation and collaboration. At JPMorgan Chase, you will be part of a culture that supports diversity, inclusion, and continuous learning. Take the next step in your journey with us and help deliver trusted technology solutions., As a Lead Data Engineer in the Payments Technology Regulatory Reporting team, you will design and deliver secure, scalable cloud technology products. You will collaborate with agile teams to create solutions that support our business objectives and drive continuous improvement. Your work will span multiple technical areas, allowing you to contribute to both team and firm-wide goals. You will help foster a culture of inclusion, respect, and opportunity while advancing your skills in a dynamic environment., * Execute software solutions, design, development, and technical troubleshooting
- Create secure, high-quality production code and maintain efficient algorithms
- Produce architecture and design artifacts for complex applications
- Gather, analyze, and synthesize data to develop visualizations and reporting
- Identify hidden problems and patterns in data to drive system improvements
- Work individually or as part of a distributed team to deliver projects on time
- Contribute to software engineering communities and explore emerging technologies
- Promote a team culture of diversity, inclusion, and respect
Requirements
- Hands-on experience in system design, application development, testing, and operational stability
- Proficiency in Python, PySpark, Databricks, or similar data engineering platforms
- Experience with both relational and NoSQL databases
- Knowledge across the data lifecycle
- Ability to develop, debug, and maintain code in large corporate environments
- Understanding of the Software Development Life Cycle
- Familiarity with agile methodologies, including CI/CD, application resiliency, and security
- Demonstrated knowledge of software applications and technical processes within disciplines such as cloud, AI, machine learning, or mobile
Preferred Qualifications, Capabilities, and Skills:
- Exposure to cloud technologies including Databricks, AWS MSK, EC2, EKS, S3, RDS, and Lambdas
- Experience with payment domain streaming systems
- Familiarity with payment regulatory reporting
Benefits & conditions
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.