Software Engineer III, Big Data Databricks

JPMorgan Chase

Confirmed live yesterday Low trust

Quick summary

Work type: On-site
Location: Houston, TX
Posted: 32 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $190k

$141k most similar roles pay here $234k

This listing doesn't post a salary. Most similar roles pay $157,875–$222,000.

Based on 240 similar postings.

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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, Big Data Databricks

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As a Software Engineer III within the Corporate Technology Sector, you will join an agile data engineering team to build and deliver a secure, stable, and scalable Global Know Your Customer and Risk Assessment Data Platform. You will develop high-quality production code for data-intensive applications while creating durable, reusable software frameworks and patterns. Your daily work involves leveraging enterprise-authorized AI coding tools to improve delivery speed and quality through automated testing and peer review. The role requires expertise in Python and Java, along with experience in Spark, PySpark, Databricks, Snowflake, and Apache Iceberg. You will manage large-scale data processing using Kafka, Redis, Memcached, and Airflow while utilizing cloud-native environments like AWS, Azure, or GCP. Additionally, you will navigate complex architectures involving microservices, API design, vector stores, and LLM orchestration frameworks to solve critical data governance challenges.

What does a Software Engineer earn in Texas?

Median $186925 from 189 postings across 40 companies.

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Skills

Python Java AI ML Data Engineering Kafka Redis Memcached Dynatrace Splunk Grafana Airflow Temporal NoSQL Vector Stores AWS Azure GCP Databricks Snowflake Spark PySpark Apache Iceberg AWS Bedrock Azure OpenAI Microservices API Design

What you'll do

Develop secure, high-quality production code for data-intensive applications and platforms.
Create durable, reusable software frameworks and patterns to be used across multiple teams.
Utilize enterprise-authorized AI coding tools to improve code quality, delivery speed, and documentation.
Validate and refine AI-generated outputs to ensure they meet performance, security, and accuracy standards.
Integrate automation capabilities within the Software Development Life Cycle toolchain to increase scale.
Advise cross-functional teams on technical matters within your specific domain of expertise.
Manage large-scale data processing using microservices, API design, and orchestration frameworks like Airflow or Temporal.
Implement cloud-native solutions and manage diverse database architectures including relational, NoSQL, and vector stores.

What we're looking for

Formal training or certification on software engineering concepts and 5+ years of applied experience.
Hands-on practical experience in system design, application development, testing, and operational stability at enterprise scale.
Expertise in one or more programming languages, particularly Python and/or Java.
Deep knowledge of software application development and technical processes in disciplines such as cloud, AI/ML, or data engineering.
Hands-on experience using and validating outputs from enterprise-authorized AI-assisted software development tools.
Understanding of responsible AI use in engineering workflows including data sensitivity and security considerations.
Experience with large-scale data processing, microservices, API design, Kafka, Redis, Memcached, observability tools, and orchestration frameworks.
Working knowledge of relational/NoSQL databases, vector stores, data lake architectures, and cloud-native experience (AWS, Azure, or GCP).