The Data Engineer Associate in PNC's Asset Management Group develops and maintains data pipelines using PySpark, Hadoop, and SQL, handling ingestion, transformation, and governance tasks. This onsite role is based in Birmingham, AL.
Responsibilities
- Assist in designing, supporting, and implementing data solutions across multiple applications to meet business objectives and user requirements, applying technical knowledge to build and maintain data technologies.
- Perform data requirement analysis and develop data preparation processes for targeted solutions.
- Contribute to designing and building data service infrastructure on multiple platforms in alignment with workflow needs.
- Participate in developing and deploying data solutions to ensure scalability, availability, and maintainability across applications.
- Provide guidance on data migration and transformation to ensure accuracy and security of data solutions.
Requirements
- Hands-on experience with PySpark and Hadoop ecosystems, including building and sustaining data pipelines using Spark, Hive, and HDFS.
- Strong SQL skills with the ability to interpret business logic, craft optimized queries, and work with large analytical datasets in Hive/Impala.
- Experience constructing and supporting data ingestion and transformation pipelines, including source-to-target mappings, data validation, and quality checks.
- Familiarity with agile delivery models, collaborating with cross-functional teams (developers, analysts, QA, product owners) and participating in sprint-based development and releases.
- Working knowledge of data governance and tooling, such as metadata management (eg, Alation), documentation standards, and controlled promotion of data to production environments.
- Typically requires a university degree with 2+ years of relevant professional experience; in lieu of a degree, a comparable combination of education, certifications, and experience may be considered.
Technologies
- PySpark
- Hadoop
- Spark
- Hive
- HDFS
- SQL
- Impala
- Alation
Benefits
- Medical and prescription drug coverage with Health Savings Account feature
- Dental and vision plans
- Life insurance for employee and spouse/children
- Short and long-term disability protection
- 401(k) matching from the employer
- Pension and stock purchase plans
- Dependent care reimbursement and back-up child/elder care
- Adoption, surrogacy, and doula reimbursement
- Educational assistance, including select fully paid programs
- Wellness program with financial incentives
- Maternity and parental leave options
- Up to 11 paid holidays per year
- 9 occasional absence days per year
- 15 to 25 vacation days per year
Position Overview
PNC emphasizes its people as a core differentiator and a key driver of success. The Data Engineer Associate within the Asset Management Group may be based in one of several locations, including Pittsburgh, PA; Cleveland, OH; Dallas, TX; or Birmingham, AL, contributing to a collaborative and inclusive workplace.
Pay Transparency
Base Salary: $45,000.00 – $142,250.00. Salaries vary by geographic location, market data, and individual qualifications. This role is eligible for incentive compensation based on company, business, and personal performance.
Application Window
The posting is generally active for two business days from 04/24/2026, with potential extension at the discretion of the business.
Disability Accommodations
For accommodation requests during the application process, contact AccommodationRequest@pnc.com with the subject line "accommodation request" and include your name, job ID, and preferred method of contact. You may also call 877-968-7762 and say "Workday" for assistance with accommodations.
Equal Employment Opportunity
PNC provides equal employment opportunities to qualified individuals regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other protected characteristics.
California Residents
Refer to the California Consumer Privacy Act Privacy Notice to understand how PNC may use or disclose your personal information in our hiring practices.
