Data Engineer III

JPMorgan Chase

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Plano, TX
Employment
Full-time
Posted
3 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $159k
$107k most similar roles pay here $200k

This listing doesn't post a salary. Most similar roles pay $126,800–$191,250.

Based on 240 similar postings.

Employer

About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 1058 open roles on FindRole.

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At a glance

TL;DR · Data Engineer III

As a Data Engineer III within the Consumer and Community Banking team, you will design, develop, and maintain robust data pipelines and architectures. You are responsible for building scalable batch and streaming pipelines with high performance, fault tolerance, and observability while managing workflow orchestration to schedule and monitor data movements. The role involves translating complex business requirements into technical solutions that meet data lake and warehousing standards, including governance processes for modeling, cataloging, and access control. You will utilize enterprise-authorized AI capabilities to accelerate design analysis and documentation while ensuring security compliance. Key technologies include AWS Data Lake, Snowflake, Redshift, BigQuery, Spark, Flink, Trino, SQL, Kafka, and Pub/Sub. Additionally, you may work with Erwin for data modeling and table formats like Iceberg or Hudi to solve complex data processing challenges.

What does a Data Engineer earn?

Median $162000 from 190 postings across 57 companies.

See salary data

What you'll do

  • Design, build, and optimize scalable batch and streaming data pipelines for high performance and fault tolerance.
  • Develop and operate workflow orchestration to schedule and manage data movement and transformations.
  • Translate complex business requirements into technical solutions that meet data lake and warehousing standards.
  • Utilize enterprise-authorized AI capabilities to accelerate pipeline design, documentation, and automated testing.
  • Establish governance processes for data modeling, cataloging, ownership, and access control.
  • Provide mentorship and training on data publication best practices and lead the team's technical direction.
  • Perform advanced quantitative analysis of large datasets to identify key business trends.
  • Manage data sharing, exchange, and ecosystem-specific features across cloud environments.

What we're looking for

  • Hold a Bachelor’s degree in Computer Science, Information Technology, or a related field.
  • 3+ years of experience in data engineering with expertise in AWS Data Lake and Snowflake.
  • Experience with modern data lake and warehousing technologies including Redshift, BigQuery, Spark, Flink, or Trino.
  • Proficiency in SQL and experience with data pipeline/ETL tools.
  • Experience designing and building streaming pipelines using Kafka, Pub/Sub, or similar messaging systems.
  • Demonstrated experience using enterprise-authorized AI capabilities to support data engineering workflows while ensuring security and validation.
  • Ability to review and validate AI-assisted outputs before use in a production environment.
  • Experience with data modeling in Erwin (preferred); experience with table formats such as Iceberg or Hudi (preferred).

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