Senior Data Engineer – Asset Management Data

PNC Financial Services Group; Birmingham (AL); Hybrid; USD 50,000 - 203,000; Full time

Benefits offered by this job

Medical coverage

Dental & vision

401(k) match

Stock purchase plan

Life insurance

Disability protection

Paid holidays

Vacation days

Wellness program

Job summary

PNC Financial Services Group seeks a Senior Data Engineer to design, build, and support scalable data solutions within the Asset Management organization. The role is based in Pittsburgh, PA; Birmingham, AL; Cleveland, OH; and Dallas, TX, offering a multi-city in-office environment.

You will partner with leads to design data models, governance, and migration efforts, delivering reliable data services across teams and applications in a modern data environment.

Qualifications

• Experience designing data warehouses and pipelines.
• Knowledge of data governance, quality, and lineage.
• Experience with Oracle and Hadoop data platforms.
• Strong collaboration across cross-functional teams.
• Bachelor's degree in a related field.

Responsibilities

• Design and build data warehouse solutions, including pipelines and transformations.
• Support data governance practices (quality, lineage, compliance).
• Create and maintain source-to-target mappings, DDL documentation, and SCD models.
• Collaborate with engineers, BSA's, QE, and reporting teams.
• Lead data migration and modernization efforts.

Skills

Data warehousing

Data modeling

SQL

Source-to-Target Mapping

DDL

SCD types

Oracle

Hadoop

Cross-functional teams

Data governance

Education

Bachelor's degree

Tools

Alation

Job description

PNC Financial Services Group seeks a Senior Data Engineer to design, build, and support scalable data solutions within the Asset Management organization. The role is based in Pittsburgh, PA; Birmingham, AL; Cleveland, OH; and Dallas, TX, offering a multi-city in-office environment.

You will partner with leads to design data models, governance, and migration efforts, delivering reliable data services across teams and applications in a modern data environment.