Data Engineer III: AI-Driven Cloud Pipelines (AWS/Snowflake)

JPMorgan Chase & Co.; Plano (TX); On-site; USD 110,000 - 160,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Data Engineering III to design, develop, and maintain robust data pipelines and architectures for the Consumer and Community Banking group. You will drive governance, performance optimization, and mentor engineers while collaborating with business, analytics and technology stakeholders.

The role emphasizes scalable, secure, and compliant data solutions across data lake and data warehousing ecosystems, with a focus on AI-assisted validation and SDLC quality.

Qualifications

• Bachelor's degree in CS/IT or related field.
• 3+ years in data engineering with AWS, Data Lake, and Snowflake expertise.
• Hands-on with data lake/warehouse tech (Redshift, BigQuery, Snowflake) and engines (Spark, Flink, Trino).
• Proficient in SQL and ETL tooling; strong data governance and AI-assisted validation.

Responsibilities

• Design, build, and optimize scalable batch and streaming pipelines.
• Develop and operate workflow orchestration for data movement.
• Translate business requirements into data lake/warehouse solutions.
• Mentor engineers and drive SDLC quality with AI-assisted practices.
• Stay current with AWS Data Lake, Snowflake, and related tech.
• Ensure data governance, security, and observability.

Skills

AWS

Data Lake

Snowflake

SQL

Agile methodologies

AI-assisted data engineering

Data governance

Streaming pipelines

Kafka

BigQuery

Education

Bachelor's degree in Computer Science, Information Technology, or related field

Tools

Spark

Flink

Trino

Redshift

Airflow

Kafka

Pub/Sub

Iceberg

Hudi

Job description

JPMorgan Chase & Co. is seeking a Data Engineering III to design, develop, and maintain robust data pipelines and architectures for the Consumer and Community Banking group. You will drive governance, performance optimization, and mentor engineers while collaborating with business, analytics and technology stakeholders.

The role emphasizes scalable, secure, and compliant data solutions across data lake and data warehousing ecosystems, with a focus on AI-assisted validation and SDLC quality.