Software Engineer Lead/Experienced Python Developer - (Python, Pyspark, Restful API) - Corporate Functions Technology

PNC

Quick summary

Work type: On-site
Location: Strongsville, OH · Pittsburgh, PA
Posted: 5 days ago
Nearby: 84 roles within 25 mi

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Similar $196k

$174k most similar roles pay here $231k

This listing doesn't post a salary. Most similar roles pay $179,543–$213,000.

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About PNC

PNC is one of the largest diversified financial services institutions in the U.S., based in Pittsburgh, PA, it provides retail banking, corporate banking, and asset management.

PNC currently has 150 open roles on FindRole.

Listed pay typically runs $86,250–$185,900 across 57 roles with salary data.

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TL;DR · Software Engineer Lead/Experienced Python Developer - (Python, Pyspark, Restful API) - Corporate Functions Technology

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As a Software Engineer Lead on PNC's Model Integration Platform team in Pittsburgh-PA or Strongsville-OH, you will work closely with a geographically distributed Agile team to support CECL and CCAR execution. Your day-to-day responsibilities include building and optimizing data pipelines and RESTful APIs using Python, PySpark, Pandas, and Parquet within a high-performance Linux cluster environment. You will also collaborate on sprint-based development cycles and utilize version control systems like Bitbucket and Git for collaborative coding practices. This role requires strong proficiency in Python and experience with cloud-native technologies to address complex business challenges at scale.

Skills

Python PySpark Pandas RESTful APIs Linux Git Agile Bitbucket CI/CD

What you'll do

Develop and optimize data pipelines using Python and PySpark.
Build RESTful APIs to support CECL and CCAR execution processes.
Work in a Linux-based environment on high-performance clusters.
Utilize Pandas and Parquet for efficient data manipulation and storage.
Collaborate within an Agile team, participating in two-week sprint cycles.

What we're looking for

Strong proficiency in Python and PySpark.
Experience building and optimizing data pipelines and RESTful APIs.
Hands-on experience with Pandas, Parquet, and Linux-based environments.
Solid understanding of Agile methodologies and sprint-based development.
Expertise in version control systems (Bitbucket, Git) and collaborative workflows.

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