Data Engineer: Oracle & MongoDB DBA & App Support

PNC; Pittsburgh (Allegheny County); On-site; USD 63,000 - 152,000; Full time

Job summary

PNC is seeking a Data Engineer in its Technology organization. You will be based in Dallas, TX, Pittsburgh, PA, Cleveland, OH, Birmingham, AL or Denver, CO and work across Oracle and MongoDB databases in production and non-production environments.

The role prioritizes SQL/PLSQL expertise, MongoDB data models, performance tuning, and translating business requirements into scalable, reliable data designs while supporting enterprise systems.

Qualifications

• Experience with Oracle SQL, PL/SQL, and performance tuning.
• Knowledge of MongoDB data models, indexing and queries.
• Understanding of RDBMS vs NoSQL tradeoffs and use cases.
• Experience supporting enterprise-scale, data-intensive applications.

Responsibilities

• Serve as the functional DBA for Oracle and MongoDB in prod and non-prod.
• Collaborate with application teams on schema design, data modeling and tuning.
• Analyze and resolve database performance bottlenecks and data anomalies.
• Validate database changes and ensure backward compatibility during releases.
• Provide guidance on transaction management, indexing and data access patterns.
• Maintain data consistency, integrity across applications and integrations.
• Review and approve database changes for risk and impact.
• Assist incident response by diagnosing database behavior and failures.
• Maintain documentation and runbooks for database usage.

Skills

Oracle SQL

PL/SQL

Query Tuning

RDBMS vs NoSQL

Data Modeling

Enterprise-scale data

Education

Bachelors

Tools

Oracle

MongoDB

Job description

PNC is seeking a Data Engineer in its Technology organization. You will be based in Dallas, TX, Pittsburgh, PA, Cleveland, OH, Birmingham, AL or Denver, CO and work across Oracle and MongoDB databases in production and non-production environments.

The role prioritizes SQL/PLSQL expertise, MongoDB data models, performance tuning, and translating business requirements into scalable, reliable data designs while supporting enterprise systems.