Senior Data Engineer - Python & Databricks, Secure ELT

JPMorganChase; Houston (TX); Presencial; USD 100 000 - 140 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

On-site health and wellness centers

Comprehensive health care coverage

Retirement savings plan

Tuition reimbursement

Mental health support

Resumo da oferta

JPMorganChase in Houston seeks a data engineering professional to build secure, scalable data pipelines using Python and Databricks onsite.

You will develop ELT workflows, ensure enterprise data protection, and apply AI-assisted coding practices within governed SDLC processes while maintaining traceability and data sensitivity compliance. Role involves advanced SQL, NoSQL, data modeling updates, and collaboration with security teams to validate AI outputs before production deployment.

Qualificações

• Formal training or certification on software engineering concepts and 3 years of applied experience.
• Good working knowledge of AWS, Databricks, and Python, with experience across the data lifecycle.
• Advanced SQL skills, including joins and aggregations; working understanding of NoSQL databases.
• Significant experience with statistical data analysis and the ability to select appropriate tools and data patterns.
• Ability to utilize AWS Cloud Services to develop, deploy, and manage applications at scale.
• Proficiency with AI coding assistants, using tools daily such as Cursor, GitHub Copilot, and Claude for code generation, documentation, and refactoring.
• Prompt engineering skills: provide context, clear goals, relevant source material, and defined output expectations to produce accurate, usable code.
• Critical evaluation and validation to identify hallucination patterns, security vulnerabilities, and logic errors in AI-generated code before production deployment.
• Demonstrated experience using enterprise-authorized AI capabilities to support data engineering workflows with strong validation habits and awareness of data sensitivity.

Responsabilidades

• Develop ELT workflows using Python and Databricks.
• Support review of controls to ensure protection of enterprise data.
• Implement data security using entitlements frameworks.
• Update data models as new use cases emerge.
• Use SQL frequently and apply NoSQL knowledge.
• Apply AI capabilities to accelerate data pipeline design and analysis/documentation.
• Validate AI-assisted outputs and handle data according to sensitivity and security requirements.
• Adopt reuse-first, AI-assisted SDLC practices including test generation and control validation.
• Ensure traceability and alignment to resiliency and security expectations.

Conhecimentos

Python

Databricks

SQL

NoSQL

AWS

Cursor

GitHub Copilot

Claude

AI assistants

Prompt engineering

Formação académica

Software engineering certification

Ferramentas

Docker

CI/CD

Aurora Postgres

MongoDB

Descrição da oferta de emprego

JPMorganChase in Houston seeks a data engineering professional to build secure, scalable data pipelines using Python and Databricks onsite.

You will develop ELT workflows, ensure enterprise data protection, and apply AI-assisted coding practices within governed SDLC processes while maintaining traceability and data sensitivity compliance. Role involves advanced SQL, NoSQL, data modeling updates, and collaboration with security teams to validate AI outputs before production deployment.