Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
PNC

Senior Data Engineer – Data Modeling

PNC

. Partner with a Lead to design, build, and support scalable data solutions .

Posted 11/5/2026full-timeUnited StatesSenior💰 $91,000 - $185,900 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and building scalable data warehouse solutions, including data governance practices and metadata management. Proficient in SQL and familiar with data migration and transformation processes across multiple data platforms.

Highest-signal resume keywords
Data WarehousingSQLData Governance PrinciplesSource-To-Target MappingOracle

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data ModelingData Pipeline DevelopmentData TransformationSCD TypesDDL Documentation
Soft Skills
CollaborationTroubleshootingRoot Cause Analysis
Tools & Technologies
HadoopAlation
Industry Keywords
Data SolutionsData QualityData LineageMetadata ManagementCross-Functional Teams

Tech Stack

Tools & technologies
HadoopOracleSQL

About the role

Key responsibilities & impact
  • Partner with a Lead to design, build, and support scalable data solutions
  • Design and build data warehouse solutions, including pipelines, models, and transformations
  • Support data governance practices, including 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
  • Collaborate with engineers, BSA’s, QE, and reporting teams
  • 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
  • Lead data requirement analysis and data preparation process development
  • Design and build data service infrastructure across multiple data platforms
  • Oversee development and implementation of scalable, available, and maintainable data solutions
  • Consult on data migration and transformation to ensure data accuracy and security
  • Manage risks associated with business objectives and activities in accordance with PNC's Enterprise Risk Management Framework

Requirements

What you’ll need
  • University / college degree, typically a bachelor's degree
  • 5+ years of industry-relevant experience
  • Comparable combination of education, job-specific certification(s), and experience may be considered in lieu of a degree
  • Experience working across cross-functional teams
  • Understanding of data governance principles
  • Strong experience in data warehousing, modeling, and SQL
  • Knowledge of Source-to-Target Mapping, DDL, SCD types, and naming standards
  • Knowledge of Oracle and Hadoop
  • No required certifications
  • No required licenses
  • PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position

Benefits

Comp & perks
  • Medical/prescription drug coverage with a Health Savings Account feature
  • Dental and vision options
  • Employee and spouse/child life insurance
  • Short- and long-term disability protection
  • 401(k) with PNC match
  • Pension plan
  • Stock purchase plan
  • Dependent care reimbursement account
  • Back-up child/elder care
  • Adoption, surrogacy, and doula reimbursement
  • Educational assistance, including select programs fully paid
  • Robust wellness program with financial incentives
  • Maternity and/or parental leave
  • Up to 11 paid holidays each year
  • 9 occasional absence days each year
  • 15 to 25 vacation days each year, depending on career level
  • Career advancement through internal mobility, leadership development, and continuous learning