The Data Engineer role on PNC Financial Services Group's Big Data Platform focuses on building and refining cloud-native data solutions, ensuring platform health and performance, and enabling organization‑wide analytics.
Responsibilities
- Monitor, maintain, and enhance the health and performance of the data platform
- Ensure stability, reliability, and scalability across data systems
- Apply best practices for platform operations and data engineering standards, ensuring understanding and adherence among technical and business stakeholders
- Regularly review the data platform architecture to identify automation, optimization, right-sizing, and cost-reduction opportunities
- Lead user migration to a unified data platform
- Modernize legacy Hadoop based systems to cloud‑native architectures
- Design and implement scalable data platforms using open‑source technologies such as Apache Iceberg, Airflow, and Trino
- Implement data lakehouse architecture to ensure structured and transactional data availability
- Collaborate with business stakeholders to translate analytical needs into technical solutions
- Apply contemporary methodologies and tools to advance business initiatives and capabilities
- Serve as an internal consultant on big data tools and capabilities
- Improve query performance and data structures to support analytical workloads
- Guide stakeholders in leveraging data for actionable business insights
- Define and implement internal process improvements through analytics that inform key performance metrics
Requirements
- Proficiency in Python, Spark, and Scala
- Strong background in SQL development and enterprise databases such as Oracle and Teradata
- Experience with modern cloud-native and open‑source tools: Apache Iceberg, Apache Airflow, and Trino
- Extensive experience in modern data engineering and big data ecosystems
- Hands-on experience building scalable data platforms and analytics using data lakehouse architectures
- Familiarity with cloud platforms such as Azure and AWS and their data services
- Ability to contribute to solution design beyond data movement
- Strong communication skills to bridge technical and non‑technical audiences
- Proven ability to align business needs with engineering work
- Collaborative mindset with experience across cross‑functional teams
- Strong problem‑solving and analytical thinking
Technologies
- Python
- Spark
- Scala
- SQL
- Oracle
- Teradata
- Azure
- AWS
- Apache Iceberg
- Apache Airflow
- Trino
Benefits
- Medical and prescription drug coverage with Health Savings Account option
- Dental and vision coverage
- Life insurance for employees as well as spouses and children
- Short‑term and long‑term disability protection
- 401(k) plan with company match
- Pension and employee stock purchase plans
- Dependent care reimbursement account
- Back‑up child and elder care support
- Adoption, surrogacy, and doula reimbursement
- Educational assistance for approved programs
- Wellness program with financial incentives
- Maternity and parental leave benefits
- Up to 11 paid holidays per year
- Nine paid absence days per year
- 15 to 25 vacation days annually, depending on career level
- Years of service recognition
Job Description
- Develop, support, and implement data services for multiple applications to meet business objectives and user requirements
- Collaborate with users, developers, operations, and business partners to define data service requirements and data preparation processes
- Design and build data service infrastructure across multiple data platforms aligned with key business processes
- Develop and implement data solutions for multiple applications to ensure scalability, availability, and maintainability
- Execute data migration and transformation activities to ensure data solution accuracy and security
Pay Transparency
Base Salary: $86,250.00 – $172,500.00 per year. Salaries may vary based on geographic location, market data, and individual skills, experience, and education. This role is incentive eligible with payments based on company, business, and/or individual performance.
Disability Accommodations Statement
If an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest@pnc.com. Include “accommodation request” in the subject line and provide your name, job ID, and preferred contact method in the body. Applicants may also call 877-968-7762 and say Workday for accommodation assistance. At PNC we foster an inclusive and accessible workplace and provide reasonable accommodations to applicants and qualified individuals who need them to perform the essential functions of their positions.
Equal Employment Opportunity (EEO)
PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.
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.
Certifications
No Required Certification(s)
Licenses
No Required License(s)
