Data Engineer III, Senior Associate

JPMorgan Chase

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Quick summary

Work type: On-site
Location: Plano, TX
Employment: Full-time
Posted: 3 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $156k

$89k $195k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $126,800–$185,006.

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 1254 open roles on FindRole.

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At a glance

TL;DR · Data Engineer III, Senior Associate

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The Data Engineer III - Senior Associate joins the team as a Backend Data Engineer to design, develop, and maintain scalable full stack applications. The role involves building and optimizing data pipelines and analytics solutions while analyzing large datasets to support various business needs. Key responsibilities include developing cloud-based solutions and exploring emerging technologies like Agentic AI and AI-assisted development workflows. Candidates must possess hands-on expertise with Java or Python, AWS, Databricks, and Apache Spark. The position requires a strong background in data engineering, SQL, and ETL processes to manage large-scale data processing. By working with cross-functional teams, the engineer will solve complex technical problems through cloud-native architectures and scalable application design, specifically focusing on modern AI-assisted development practices and robust data infrastructure.

What does a Data Engineer earn?

Median $162000 from 201 postings across 59 companies.

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Skills

Java Python AWS Databricks Apache Spark SQL ETL Agentic AI Generative AI Data Engineering Data Pipelines Cloud-native Architecture API Development

What you'll do

Design, develop, and maintain scalable full-stack applications using Java or Python.
Build and optimize data pipelines and analytics solutions using Databricks, Spark, and AWS.
Analyze large datasets to develop scalable, cloud-based solutions for business needs.
Implement and manage ETL processes for large-scale data processing.
Explore and apply emerging technologies including Agentic AI and AI-assisted development tools.
Design cloud-native architectures for scalable application performance.

What we're looking for

Experience in full stack software development using Java or Python.
Hands-on experience with AWS, Databricks, and Apache Spark.
Strong background in data engineering, analytics, and large-scale data processing.
Experience with cloud-native architectures and scalable application design.
Demonstrated analytical and problem-solving skills.
Exposure to or interest in Agentic AI, Generative AI, or AI-assisted development practices.
Full-stack capabilities (preferred).

Data Engineer, Senior

Booz Allen Hamilton

Charlottesville, VA +1 90 days ago

Python SQL Scala Java ETL ELT GitLab GitHub Bitbucket Terraform Kubernetes Docker UNIX Linux Bash Ansible YAML AWS Microsoft Azure Google Cloud Spark Databricks Hadoop Hive AWS EMR Kafka MongoDB Cassandra AWS Redshift MySQL Snowflake Agile Jira Confluence

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