Data Engineer Senior - Data Products Organization; Hadoop, Spark , Python, Kafka

Position Overview

At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company’s success.

• Act as an internal consultant for other data engineering and technical teams to enhance and optimize the quality of their code, ensuring adherence to engineering best practices.
• Proven data literacy skills to describe business outcomes, data uses, data sources, and their management concepts and analytical approaches to all organizational levels in both business and technology.
• Demonstrate initiative to develop approaches to solutions as part of a team.
• Review architecture and identify areas for automation, optimization, right-sizing, and cost reduction to support health of the environment.
• Design, build and test data integration processes between business-critical applications to solve complex problems within financial services.
• Define and implement internal process improvements through the development of detailed analytics that provide actionable insights into key business performance metrics.

• Leads in developing, supporting and implementing data solutions for multiple applications in order to meet business objectives and user requirements. Leverages technical knowledge and industry experience to design, build and maintain technology solutions.
• Leads data requirement analysis and the data preparation process development for targeted data solutions.
• Leads in designing and building data service infrastructure on multiple data platforms, according the workflow.
• Oversees the development and implementation of data solutions for multiple applications to ensure its scalability, availability and maintainability.
• Consults on data migration and transformation to ensure the accuracy and security of data solutions.

• Extensive experience with data technologies and distributed computing tools (Hadoop, Spark, Hive Kafka, HDFS, Sqoop, Impala, Beeline, CA7 Orchestration).
• Lead experience as a Data Engineer.
• Strong proficiency in relevant programming languages such as Python, PySpark, Spark, SQL.
• Practical development and application of Kafka streaming and complex orchestration.
• Proficient in Containerization (Open Shift, Kubernetes, Docker, etc.).
• Experience with public cloud platforms (prefer AWS and Microsoft Azure).
• Knowledge of Linux.
• Knowledge of Iceberg.

Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licenses needed to be successful in this position.

Roles at this level typically require a university/college degree, with 5+ years of industry‑relevant experience. Specific certifications are often required. In lieu of a degree, a comparable combination of education, job‑specific certification(s), and experience (including military service) may be considered.

• Adobe Spark, Analytical Thinking, Apache Kafka, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning (ML), Python (Programming Language).

• Application Delivery Process, Big Data Management and Analytics, Business Intelligence, Consulting, Data Analysis - Software, Data Architecture, Database Structures, Problem Solving, Software Development Life Cycle.

5+ years of industry‑relevant experience. Roles at this level typically require a university/college degree.

Bachelor's degree.

No required certification(s).

No required license(s).

Base Salary: $65,000.00 – $. Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance.

Generally, this opening is expected to be posted for two business days from 08/26/2025, although it may be…