Data Engineer, Big Data Platform

PNC

Quick summary

Work type
On-site
Location
Pittsburgh, PABirmingham, ALDallas, TXCleveland, OH
Salary
$86,250–$172,500 / yr
Posted
2 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $173k
This role $129k
$71k most similar roles pay here $226k

This role pays less than 78% of similar roles. Most pay $135,000–$211,200 — the shaded band above. At the midpoint, this role pays about $129k versus about $173k for comparable roles.

Based on 240 similar postings.

Employer

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 189 open roles on FindRole.

Listed pay typically runs $86,250–$172,500 across 83 roles with salary data.

Most-posted roles

View all roles at PNC

At a glance

TL;DR · Data Engineer, Big Data Platform

PNC is seeking a Data Engineer to join its Technology organization in Pittsburgh, Dallas, Cleveland, or Birmingham. This role involves monitoring and maintaining large-scale enterprise big data platforms, ensuring stability and scalability while implementing best practices for platform operations. The ideal candidate will contribute to the design of a next-generation cloud-native data platform by modernizing legacy systems and driving user migration to unified data solutions. Day-to-day responsibilities include designing scalable data platforms using open-source technologies like Apache Iceberg, Airflow, and Trino, as well as partnering with business stakeholders to translate analytical needs into technical solutions. Key skills required are proficiency in Python, Spark, Scala, SQL development, and experience with cloud-native tools and data lakehouse architectures. The role demands strong communication abilities and the capacity to bridge the gap between business and engineering teams.

What you'll do

  • Monitor and maintain the health and performance of large-scale data platforms.
  • Ensure stability, reliability, and scalability of enterprise data systems.
  • Implement best practices for platform operations and data engineering standards.
  • Review data platform architecture to identify areas for automation and optimization.
  • Design and build scalable modern data platforms using open-source technologies.
  • Partner with business stakeholders to translate analytical needs into technical solutions.
  • Act as an internal consultant on big data tools, enhancing query performance and data structures.

What we're looking for

  • Strong proficiency in Python, Spark, Scala, and SQL development.
  • Experience with Apache Iceberg, Apache Airflow, Trino, and cloud-native tools.
  • Hands-on experience building scalable data platforms using lakehouse architectures.
  • Proven ability to design solutions that bridge business and engineering needs.
  • Excellent communication skills for translating between technical and non-technical audiences.

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