Senior Data Engineer III — Scalable Pipelines & AI

JPMorganChase; Plano (TX); On-site; USD 120,000 - 150,000; Full time

Job summary

JPMorgan Chase’s Consumer and Community Banking team seeks a Data Engineering III to design, develop, and maintain robust data pipelines and architectures. You will drive data governance, improve performance, and mentor engineers while collaborating with business, analytics, and technology stakeholders.

You will ensure scalable, secure, and compliant data solutions that support business objectives and regulatory requirements across data lake and data warehouse environments.

Qualifications

• Hold a Bachelor's degree in Computer Science, Information Technology, or related field.
• 3+ years of experience in data engineering with deep AWS, Data Lake, and Snowflake expertise.
• Hands-on experience with modern data lake and warehousing technologies (e.g., Redshift, BigQuery, Snowflake; and engines such as Spark, Flink, or Trino).
• Apply Agile methodologies, running ceremonies and prioritizing backlogs for continuous improvement.
• Exhibit proficiency in SQL and experience with data pipeline/ETL tools.
• Demonstrated experience using enterprise-authorized AI capabilities within the work environment 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.
• Experience designing and building streaming pipelines using Kafka, Pub/Sub, or similar messaging systems
• Experience with large-scale distributed data processing and performance tuning
• Design and implement large-scale data solutions in cloud environments.

Responsibilities

• Design, build, maintain and optimize scalable batch and streaming data pipelines with strong performance, fault tolerance, and observability
• Develop and operate workflow orchestration to schedule, monitor, and manage data movement and transformations
• Translate complex business requirements into technical solutions meeting data lake and data warehousing standards.
• Uses enterprise-authorized AI capabilities within the work environment to accelerate data pipeline/design analysis and documentation, validating outputs and handling data according to sensitivity and security requirements.
• Applies reuse-first, AI-assisted practices to strengthen SDLC-quality routines for data pipelines, ensuring traceability and alignment to resiliency and security expectations
• Build and maintain governance processes for data modeling, cataloging, ownership, and access control.
• Provide mentorship and training on data publication best practices to team members and lead the team's technical direction through standards, reviews, and knowledge sharing
• Stay up-to-date with advancements in AWS Data Lake, Snowflake Data Warehouse and related technologies.
• Perform advanced quantitative analysis of large datasets to identify business trends.
• Manage data sharing, exchange, and ecosystem-specific features.

Skills

Data engineering

AWS

SQL

Data Lake

Snowflake

ETL

Kafka

Airflow

Education

Bachelor's degree

Tools

Redshift

BigQuery

Snowflake

Spark

Flink

Trino

Job description

JPMorgan Chase’s Consumer and Community Banking team seeks a Data Engineering III to design, develop, and maintain robust data pipelines and architectures. You will drive data governance, improve performance, and mentor engineers while collaborating with business, analytics, and technology stakeholders.

You will ensure scalable, secure, and compliant data solutions that support business objectives and regulatory requirements across data lake and data warehouse environments.