Data Engineer III - Senior Associate
About The Position
JPMorganChase is seeking a Backend Data Engineer with strong API development experience in Java or Python; full-stack capabilities are a plus. The role calls for hands-on expertise in cloud platforms, preferably AWS, as well as Databricks and Spark, supported by a strong foundation in data engineering and analytics. The successful candidate will think analytically, design scalable data pipelines, and work with large datasets. Experience or interest in Agentic AI and modern AI-assisted development workflows is also relevant. The position involves designing and maintaining scalable applications and data solutions, collaborating with cross-functional teams, and exploring emerging technologies. JPMorganChase offers a competitive total rewards package, with compensation based on role, experience, skills, and location. Eligible roles may receive commission-based pay or discretionary incentive compensation. Benefits are subject to eligibility and include health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching, and other programs. Additional compensation and benefits details are provided during the hiring process.
Requirements
- Experience in full-stack software development using Java or Python.
- Hands-on experience with AWS, Databricks, and Apache Spark.
- Strong background in data engineering, analytics, and large-scale data processing.
- Demonstrated analytical and problem-solving skills.
- Experience with cloud-native architectures and scalable application design.
- Exposure to or interest in Agentic AI, Generative AI, or AI-assisted development practices.
Nice To Haves
- Full-stack capabilities are a plus.
- AWS is the preferred cloud platform.
- Experience or keen interest in Agentic AI and modern AI-assisted development workflows.
Responsibilities
- Design, develop, and maintain scalable full-stack applications using Java or Python.
- Build and optimize data pipelines and analytics solutions using Databricks, Spark, and AWS technologies.
- Analyze large datasets and develop scalable, cloud-based solutions to support business needs.
- Collaborate with cross-functional teams to deliver technology solutions.
- Explore and apply emerging technologies, including Agentic AI and AI-assisted development tools.
Benefits
- Comprehensive health care coverage
- On-site health and wellness centers
- Retirement savings plan
- Backup childcare
- Tuition reimbursement
- Mental health support
- Financial coaching
- Eligible roles may receive commission-based pay and/or discretionary incentive compensation in the form of cash and/or forfeitable equity
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
