Software Engineer III Python, Databricks

JPMorgan Chase

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Jersey City, NJ
Posted: 44 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 $181k

$129k most similar roles pay here $229k

This listing doesn't post a salary. Most similar roles pay $141,800–$219,425.

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 Python, Databricks

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As a Software Engineer III- Python, Databricks within the Commercial Banking IT team, you will contribute to the Client 360 initiative by building and enhancing a CIB wide Marketing and Events Data Platform. You will be responsible for acquiring data from various sources, identifying trends in complex datasets, and transforming existing ETL logic on AWS or Databricks platforms. Your daily work involves implementing new services, managing data validation, and designing business-related solutions using Agile methodologies. The role requires technical proficiency in Python, Java, SQL, and UNIX shell scripting to automate file preparation and database loads. You will also utilize Big Data technologies including Spark, Kafka, and NoSQL platforms like MongoDB. This position focuses on solving complex data-driven problems within the commercial banking domain by developing robust infrastructure for large-scale processing on internal and public clouds.

What does a Software Engineer earn?

Median $197500 from 2196 postings across 133 companies.

See salary data

Skills

Python Java AWS Data Bricks Spark Kafka SQL UNIX Shell Scripting ETL Big Data Oracle SQL Server NoSQL MongoDB AWS Open Search Machine Learning AI Agile

What you'll do

Acquire data from primary and secondary sources to build the Marketing and Events Data Platform.
Transform existing ETL logic on AWS or Databricks platforms.
Develop new methods for managing, transforming, and validating complex data sets.
Implement and enhance services and scripts using Python, Java, and SQL.
Automate file preparation and database loads using UNIX shell scripting.
Design and code business solutions and architectural changes using Agile methodologies.
Establish and enforce guidelines to ensure the quality and consistency of data assets.
Perform data quality testing by writing test cases and resolving identified data issues.

What we're looking for

Advanced knowledge of application, data, and infrastructure architecture disciplines.
2+ years of experience in Big Data technologies such as AWS, Spark, Kafka, or Databricks.
Experience implementing complex ETL transformations on big data platforms.
Strong experience with UNIX shell scripting to automate file preparation and database loads.
Familiarity with relational database environments including Oracle and SQL Server.
3+ years of experience with Python (preferred).
Experience in development teams using agile techniques and Object Oriented development (preferred).
Experience in Data Science, Machine Learning, AI, or Financial Services is a plus.

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