Senior Databricks Engineer — ML Pipelines & Cloud

JPMorgan Chase & Co.; Wilmington (DE); On-site; USD 135,000 - 195,000; Full time

Job summary

JPMorgan Chase & Co. invites a seasoned Software Engineer III to join the Databricks-focused Enterprise Technology team in the Corporate Sector.

You will design and deliver scalable, secure technology products, leading multi-domain solutions and data pipelines while advancing ML model deployment in production environments. The role emphasizes strong Python skills, Databricks expertise, and collaboration with Data Science and SRE/Platform teams to ensure resiliency, observability, and secure

Qualifications

• Formal training or certification on software engineering concepts and 3+ years applied experience.
• Hands‑on experience in software engineering, system design, application development, testing, and operational stability.
• Proficiency in Python; strong grounding in secure data practices.

Responsibilities

• Provides technical leadership across design, development, and troubleshooting for complex, multi-domain solutions; establish engineering standards and best practices for the team.
• Writes secure, high-quality code in Python and/or Java; conducts reviews and mentors engineers to raise code quality and maintainability.
• Builds data pipelines using Databricks ETL.
• Builds and productionizes cloud-based ML pipelines; drive model deployment and operationalization in collaboration with Data Science and SRE/Platform teams.
• Owns MLOps workflows; coordinates infrastructure and production changes with SRE; ensures resiliency, observability, and security across the ML lifecycle.
• Applies SDLC tooling and automation to improve delivery velocity and reliability; champion CI/CD and cloud-native best practices.
• Partners with Product Owners and business stakeholders to translate requirements into scalable solutions aligned to CCB Finance objectives.
• Fosters a team culture of diversity, opportunity, inclusion, and respect; model proactive learning in AI/ML and emerging technologies.
• Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables.

Skills

Python

Secure data practices

CI/CD

Agile/Scrum

SDLC automation

Databricks

AWS (ECS/EMR/Lambda/EC2/SageMaker)

Kubernetes

PySpark

Kafka

Tools

Databricks Delta Lake

Unity Catalog

Workflows

Repos/notebooks

SQL Warehouses

Terraform

Job description

JPMorgan Chase & Co. invites a seasoned Software Engineer III to join the Databricks-focused Enterprise Technology team in the Corporate Sector.

You will design and deliver scalable, secure technology products, leading multi-domain solutions and data pipelines while advancing ML model deployment in production environments. The role emphasizes strong Python skills, Databricks expertise, and collaboration with Data Science and SRE/Platform teams to ensure resiliency, observability, and secure