below marketmost similar roles pay hereabove market
This role pays less than
65%
of similar roles. Most pay
$126,800–$202,120
— the blue band above.
At the midpoint, this role pays about
$138k
versus about
$164k
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
172 open roles
on FindRole.
Listed pay typically runs
$91,000–$172,500
across 20 roles with salary data.
Data Engineer Senior - Data Modeling joins the Asset Management Group to design, build, and support scalable data solutions within a modern data environment. This hands-on role involves developing data warehouse solutions, including pipelines, models, and transformations while supporting data governance practices like quality, lineage, and compliance. The individual will create source-to-target mappings, DDL documentation, and SCD models, while contributing to metadata management using Alation. Key responsibilities include supporting migration and modernization efforts, performing root cause analysis, and collaborating with cross-functional teams. Required technical skills include strong experience in data warehousing, modeling, and SQL, along with knowledge of Oracle and Hadoop. The role focuses on solving complex data preparation and infrastructure challenges to ensure the scalability, availability, and maintainability of data services for multiple applications.
What does a Data Engineer earn?
Median $160500 from 198 postings across 59 companies.
Design and build scalable data warehouse solutions including pipelines, models, and transformations.
Support data governance practices regarding quality, lineage, and compliance.
Create and maintain source-to-target mappings, DDL documentation, and SCD models.
Manage metadata and documentation using tools like Alation.
Support data migration and modernization efforts including legacy rationalization.
Troubleshoot data issues and perform root cause analysis.
Lead data requirement analysis and the data preparation process for targeted solutions.
Oversee the development of data solutions to ensure scalability, availability, and maintainability.
What we're looking for
Bachelor's degree or a comparable combination of education, job-specific certifications, and experience.
5+ years of industry-relevant experience.
Strong experience in data warehousing, modeling, and SQL.
Knowledge of Source-to-Target Mapping, DDL, SCD types, and naming standards for Oracle and Hadoop.
Experience working across cross-functional teams.
Understanding of data governance principles.
Big Data, Data Architecture Development, Database Management, Data Engineering, Data Governance, Data Migrations, Data Modeling, Data Pipelines, Data Warehousing (DW), and Structured Query Language (SQL) (preferred).
Competencies in Application Delivery Process, Big Data Management and Analytics, Business Intelligence, Consulting, Data Analysis - Software, Data Architecture, Database Structures, Problem Solving, and Software Development Life Cycle (preferred).
SQL
Oracle
Hadoop
Data Warehousing
Data Governance
Source-to-Target Mapping
DDL
SCD
Alation
Big Data Management
Business Intelligence
Data Architecture
Machine Learning
Data Mining
Data Science
Python
SQL
NoSQL
R
Spark
Kafka
Hadoop
Hive
EMR
MySQL
MapReduce
Plotly
Seaborn
ggplot2
NLP
LLMs
Data Warehousing
Data Mining
Statistics
Probability Modeling
Gurobi