Data Engineer

PNC

Quick summary

Work type: On-site
Location: TXPAALOH
Salary: $86,250–$172,500 / yr
Posted: 4 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $163k

This role $129k

$73k most similar roles pay here $213k

This role pays less than 65% of similar roles. Most pay $126,800–$199,612 — the shaded band above. At the midpoint, this role pays about $129k versus about $163k 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 175 open roles on FindRole.

Listed pay typically runs $86,250–$185,150 across 59 roles with salary data.

Most-posted roles

View all roles at PNC

At a glance

TL;DR · Data Engineer

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As a Data Engineer at PNC's Data Analytics Team, you will work in one of four locations and be responsible for developing and supporting data services to meet business objectives. Your day-to-day tasks include collaborating with users, developers, and operations teams to define requirements and design scalable infrastructure on multiple platforms. You will develop data solutions ensuring accuracy and security through migration and transformation processes, all while maintaining a rotating on-call schedule. The role requires proficiency in Python programming, Hadoop/Hive queries, Impala, REST API, Linux, and shell scripting, with additional skills in Azure Cloud and Power BI being beneficial. This position involves working within the complex domain of financial data management, emphasizing scalability and security at enterprise scale.

Skills

Python Hadoop Hive Impala REST API Linux Shell Scripting Azure Power BI Big Data Data Mining Machine Learning CI/CD

What you'll do

Develops and implements data services for multiple applications to meet business objectives.
Designs data service infrastructure on various platforms according to key business processes.
Supports and maintains data solutions ensuring scalability, availability, and maintainability.
Implements data migration and transformation activities to ensure accuracy and security.
Collaborates with users, developers, operations, and business partners to define requirements.

What we're looking for

5+ years of experience in developing and implementing data solutions.
Proficient in Python programming, Hadoop/Hive queries, Impala, REST API, Linux, and shell scripting.
Strong analytical skills with experience in data mining and machine learning.
Experience in designing and building data service infrastructure on multiple platforms.
Excellent communication and problem-solving abilities for working closely with teams.

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