Software Engineer III: Data Engineer

JPMorgan Chase

Confirmed live yesterday Trusted

Quick summary

Work type
On-site
Location
Jersey City, NJ
Posted
15 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $171k
$120k most similar roles pay here $221k

This listing doesn't post a salary. Most similar roles pay $129,811–$211,200.

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 1117 open roles on FindRole.

Listed pay typically runs $186,160–$215,000 across 7 roles with salary data.

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At a glance

TL;DR · Software Engineer III: Data Engineer

As a Software Engineer III: Data Engineer within the Consumer & Community Banking Connected Commerce – Banking Payments organization, you will join an agile team focused on designing and delivering trusted data collection, storage, access, and analytics solutions. You will develop, test, and maintain critical data pipelines and architectures across multiple technical domains to ensure high-quality, reliable data capabilities. Your daily work involves creating secure production code, updating logical or physical data models, and performing statistical data analysis on large datasets. The role requires proficiency in SQL, NoSQL databases, Python, PySpark, and Java. You will utilize AWS, Snowflake, Airflow, and Terraform while managing data formats like Parquet and Avro. Additionally, you will leverage enterprise-authorized AI coding tools to improve development speed and quality within a secure, stable, and scalable infrastructure.

What you'll do

  • Design and deliver secure, stable, and scalable data collection, storage, and analytics solutions.
  • Develop, test, and maintain critical data pipelines and architectures across multiple technical domains.
  • Create high-quality production code and maintain algorithms that run synchronously with enterprise systems.
  • Produce architecture and design artifacts for complex applications while ensuring all design constraints are met.
  • Analyze large, diverse datasets to develop visualizations and reporting for continuous system improvement.
  • Update logical or physical data models based on new business use cases.
  • Utilize AI coding tools to improve code quality, delivery speed, and automated testing.
  • Perform performance tuning to ensure data jobs run at optimal levels without bottlenecks.

What we're looking for

  • Formal training or certification on Software Engineering concepts and 3+ years of applied experience.
  • Advanced SQL skills including joins and aggregations, along with a working understanding of NoSQL databases.
  • Experience in ETL processes and advanced data processing methodologies such as batch, micro-batching, or streaming.
  • Hands-on practical experience in system design, application development, testing, and ensuring operational stability.
  • Experience in AWS for designing, implementing, and maintaining data pipelines using Python and PySpark (or Java).
  • Proficiency in Unix scripting, data structures, serialization formats (JSON, AVRO, Protobuf), and big-data storage formats (Parquet, Iceberg).
  • Knowledge of data modeling techniques such as Dimensional, Data Vault, Kimball, or Inmon.
  • Experience using enterprise-authorized AI-assisted software development tools while ensuring security and accuracy of outputs.

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