Software Engineer III, Python, Databricks

JPMorgan Chase

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Quick summary

Work type: On-site
Location: Jersey City, NJ
Employment: Full-time
Posted: 5 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 $183k

$141k $230k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $149,625–$215,707.

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 1226 open roles on FindRole.

Listed pay typically runs $156,750–$215,000 across 5 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, you will join an agile team within the Commercial and Investment Bank to design and deliver trusted, scalable technology products. You will play a key role in the Client 360 initiative by building a Marketing and Events Data Platform. Your daily responsibilities include acquiring data from various sources, identifying trends in complex datasets, and implementing new services or scripts. You will transform existing ETL logic and innovate ways to manage, transform, and validate data. The role requires proficiency in Python, Java, SQL, and UNIX shell scripting, alongside experience with Big Data technologies like AWS, Spark, Kafka, and Databricks. You will also work with relational databases like Oracle and SQL Server to solve complex data-driven problems in a commercial banking context.

What does a Software Engineer earn in New Jersey?

Median $161500 from 34 postings across 14 companies.

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Skills

Python Java SQL AWS Spark Kafka Data Bricks ETL UNIX Shell Scripting Oracle SQL Server MongoDB AWS Open Search Agile Object Oriented Development Data Science Machine Learning AI

What you'll do

Acquire data from primary and secondary sources for large-scale processing.
Identify and interpret trends or patterns within complex data sets.
Transform existing ETL logic on AWS platforms or Databricks.
Implement and enhance services, scripts, and core architectural changes.
Establish guidelines to ensure the consistency, quality, and completeness of data assets.
Apply quality assurance best practices and write test cases for all work products.
Design and code business-related solutions using an Agile programming approach.
Automate file preparation and database loads using UNIX shell scripting.

What we're looking for

Advanced knowledge of application, data, and infrastructure architecture disciplines.
3+ years of experience with Python.
2+ years of experience in Java development.
2+ years of experience in Big Data technologies such as AWS, Spark, Kafka, or Databricks.
Experience writing efficient SQL and implementing complex ETL transformations on big data platforms.
Strong experience with UNIX shell scripting to automate file preparation and database loads.
Experience in data quality testing, including writing test cases and scripts to resolve data issues.
Familiarity with relational database environments (Oracle, SQL Server, etc.) and experience in Data Science, Machine Learning, and AI (preferred).

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