Software Engineer III – Data Engineering- Corporate Know Your Customer
JP Morgan Chase
In this role you will develop secure, scalable data-intensive software as part of a corporate data engineering team. You’ll help shape a trusted Global KYC and Risk Assessment Data Platform and collaborate across teams to set architecture and engineering standards. You will deliver high-impact solutions that scale and support enterprise portfolios, while fostering a culture of innovation and inclusion. You will work closely with stakeholders and senior leaders to drive dependable, industry-standard practices and value.
Responsibilities- Develop secure, production-quality code for data-intensive applications
- Mentor engineers through code reviews and guidance
- Create reusable software frameworks and patterns for cross-team use
- Drive adoption of advanced methods and industry-standard practices
- Advise cross-functional teams on technology within the domain
- Apply SDLC tools, including AI-assisted development and automation
- Enhance automation at scale to increase value and efficiency
- Lead architectural decisions and engineering practices across teams
- Collaborate with stakeholders to deliver impactful solutions
- Champion best practices in software development and data engineering
- Support a culture of innovation, inclusion, and continuous improvement
- Experience delivering system design, application development, testing, and operational stability at enterprise scale
- Expertise in Python and/or PySpark
- Depth in cloud, AI/ML, or data engineering disciplines
- Experience with large-scale data processing, microservices, API design, Kafka, Redis, MemCached, observability tools (Dynatrace, Splunk, Grafana), and orchestration frameworks (Airflow, Temporal)
- Advanced knowledge of relational and NoSQL databases, vector stores, data lake architectures, and data governance
- Practical cloud-native experience (AWS, Azure, or GCP)
- Ability to present and communicate effectively with senior leaders and executives
- Commitment to inclusive, collaborative teamwork
- Strong problem-solving and analytical skills
- Adaptability in a fast-paced environment
- Focus on delivering secure and scalable solutions
- collaboration
- effective communication with senior leaders
- problem-solving
- Python
- PySpark
- cloud platforms (AWS, Azure, or GCP)
Reference: WJ-747_30159518