Data Engineer III: AI-Driven Data Pipelines

JPMorgan Chase & Co.; Plano (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Data Engineer III to design and build trusted data pipelines and analytics solutions in a secure, scalable environment within the Corporate Sector. You will work on end-to-end data engineering, collaborating with cross-functional teams to deliver scalable data products and insights.

You will leverage Databricks, Apache Spark, AWS, Airflow, and Kafka, ensure data quality and security, and contribute to AI initiatives across the data lifecycle.

Qualifications

• Formal training or certification in data engineering concepts with 3+ years of hands-on experience.
• Experience in the full lifecycle of data engineering, from ingestion to production.
• Demonstrated experience using enterprise‑authorized AI capabilities to support data engineering workflows with strong validation habits and awareness of data sensitivity.
• Ability to review and validate AI-assisted outputs before use, escalating when uncertain and following data handling requirements.
• Strong hands-on expertise with Databricks, Spark, AWS (S3, Redshift, Lambda), Airflow, and Kafka.
• Proficiency in Python and SQL for data manipulation and analysis.
• Experience with data modeling, ETL development, and data warehousing.
• Familiarity with AI/ML workflows and supporting data pipelines for machine learning.
• Certifications in AWS, Databricks, Spark, etc. are desirable.
• Excellent problem-solving skills and attention to detail.
• Strong communication and teamwork abilities.

Responsibilities

• Design, develop, and optimize end-to-end data pipelines using Databricks, Apache Spark, and AWS cloud services.
• Implement and manage workflow orchestration with Airflow.
• Integrate and process streaming data using Kafka.
• Use AI capabilities to accelerate data pipeline design analysis, ensuring data handling security and traceability.
• Collaborate with data scientists, analysts, and stakeholders to understand requirements and deliver data solutions.
• Ensure data quality, integrity, and security across the data lifecycle.
• Develop and maintain ETL processes, data models, and data warehouses.
• Write Python and SQL for data processing and analysis.
• Apply AI-assisted SDLC quality routines to data pipelines for validation and auditability.
• Support AI/ML initiatives by preparing data for model development and deployment.
• Monitor, troubleshoot, and optimize data workflows for performance and reliability.
• Stay current with best practices in data engineering and AI.

Skills

Databricks

Apache Spark

AWS

Python

SQL

Airflow

Kafka

Data modeling

ETL development

Data warehouses

Tools

Docker

Kubernetes

Airflow

Redshift

Job description

JPMorgan Chase & Co. is seeking a Data Engineer III to design and build trusted data pipelines and analytics solutions in a secure, scalable environment within the Corporate Sector. You will work on end-to-end data engineering, collaborating with cross-functional teams to deliver scalable data products and insights.

You will leverage Databricks, Apache Spark, AWS, Airflow, and Kafka, ensure data quality and security, and contribute to AI initiatives across the data lifecycle.