Data Engineer Sr

PNC

Quick summary

Work type: On-site
Location: Pittsburgh, PA · Phoenix, AZ · Birmingham, AL · Dallas, TX · Cleveland, OH
Salary: $91,000–$202,800 / yr
Posted: 1 day ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $177k

This role $147k

$77k most similar roles pay here $226k

This role pays less than 72% of similar roles. Most pay $141,906–$211,200 — the shaded band above. At the midpoint, this role pays about $147k versus about $177k 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 152 open roles on FindRole.

Listed pay typically runs $86,250–$185,525 across 58 roles with salary data.

Most-posted roles

View all roles at PNC

At a glance

TL;DR · Data Engineer Sr

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As a Senior Data Engineer at PNC’s Business Analytics organization, you will design and develop scalable data pipelines and ETL processes to support complex business needs. You’ll collaborate with stakeholders to gather requirements and implement solutions, optimize database performance, and ensure seamless data integration across systems. Your role involves monitoring data workflows for quality and integrity, participating in code reviews, and mentoring junior engineers. Key technologies include Informatica, SQL databases, Hadoop, Hive, Spark, Python, and cloud platforms like Azure or AWS. You’ll work in an agile environment, prioritizing tasks to meet high-pressure deadlines while staying current with industry trends and best practices. This role is crucial for advancing PNC’s data ecosystem and supporting business initiatives at scale.

Skills

Informatica SQL Python Scala Hadoop Hive Spark AWS Azure CI/CD Big Data ETL Data Warehousing Data Modelling Database Management Cloud Platforms Agile Methodology

What you'll do

Design and develop scalable data pipelines and ETL processes.
Propose and implement data solutions to address complex business needs.
Optimize database performance for analytical workloads.
Monitor and troubleshoot data workflows to ensure quality and integrity.
Stay current with industry trends and best practices in data engineering.

What we're looking for

Experience with designing and maintaining scalable data pipelines and ETL processes.
Proficiency in SQL, database management systems, and big data technologies like Hadoop and Spark.
Strong analytical skills and ability to propose complex data solutions.
Familiarity with cloud platforms (Azure, AWS) and their data-related services.
Expertise in Python or Scala for programming and data processing tasks.
Ability to mentor junior engineers and contribute to team growth.
Experience working in an agile environment and managing high-pressure projects.