Position Overview

At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company’s success. As a Data Engineer Sr within PNC's Asset Management organization, you will be based in Pittsburgh, PA; Birmingham, AL; Cleveland, OH; Dallas, TX.

As a Senior Data Engineer, you will partner closely with a Lead to design, build, and support scalable data solutions. This is a hands-on role focused on data engineering, governance, and modeling within a modern data environment.


Key Responsibilities:

Design and build data warehouse solutions, including pipelines, models, and transformations

Support data governance practices (quality, lineage, compliance)

Create and maintain source-to-target mappings, DDL documentation, and SCD models

Contribute to metadata management and documentation using tools like Alation

Collaborate with engineers, BSA’s, QE, and reporting teams to deliver aligned data solutions

Support migration and modernization efforts, including legacy rationalization

Participate in cross-functional initiatives, releases, and code reviews

Troubleshoot data issues and perform root cause analysis


Skills:

Strong experience in data warehousing, modeling, and SQL

Knowledge of Source-to-Target Mapping, DDL, SCD types, and naming standards, both Oracle and Hadoop

Experience working across cross-functional teams

Understanding of data governance principles

PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals.

 

PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.

Job Description

• Leads in developing, supporting and implementing data solutions for multiple applications in order to meet business objectives and user requirements. Leverages technical knowledge and industry experience to design, build and maintain technology solutions.
• Leads data requirement analysis and the data preparation process development for targeted data solutions.
• Leads in designing and building data service infrastructure on multiple data platforms, according the workflow.
• Oversees the development and implementation of data solutions for multiple applications to ensure its scalability, availability and maintainability.
• Consults on data migration and transformation to ensure the accuracy and security of data solutions.

PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:

• Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.
• Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.

Qualifications

Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.

Preferred Skills

Analytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning (ML)

Competencies<