Senior Data Engineer

PNC

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Work type: On-site
Location: Pittsburgh, PABirmingham, ALCleveland, OHDallas, TX
Employment: Full-time
Posted: 11 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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How this pay compares to similar roles

Similar $170k

$114k $224k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $126,800–$213,000.

Based on 240 similar postings.

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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 159 open roles on FindRole.

Listed pay typically runs $91,000–$179,200 across 22 roles with salary data.

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At a glance

TL;DR · Senior Data Engineer

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The Senior Data Engineer - AMG Tech joins the Asset Management organization to design, build, and support scalable data solutions. 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 engineer will create source-to-target mappings, DDL documentation, and SCD models, while managing metadata using Alation. Key responsibilities include troubleshooting data issues, performing root cause analysis, and supporting migration and modernization efforts for legacy rationalization. The role requires proficiency in SQL, data warehousing, and modeling across Oracle and Hadoop environments. Candidates must demonstrate competencies in Big Data Management, Data Architecture, and the Software Development Life Cycle to deliver aligned data solutions for multiple applications within a modern data environment.

What does a Data Engineer earn?

Median $159000 from 203 postings across 58 companies.

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Skills

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

What you'll do

Design and build 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.
Contribute to metadata management 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 both Oracle and Hadoop.
Understanding of data governance principles.
Experience working across cross-functional teams.
Analytical Thinking, Data Analytics, Data Mining, Data Science, and Machine Learning (ML) (preferred).
Competencies in Application Delivery Process, Big Data Management, Business Intelligence, Data Architecture, and SDLC (preferred).

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