Data Engineer Associate - Data Products

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. As a Data Engineer Associate within PNC's Data Products organization, you will be based in Pittsburgh, PA. Design, build, and maintain scalable data ingestion pipelines across on-premises and cloud environments. Develop and apply data modeling techniques to support analytics and reporting use cases. Ensure data quality, governance, security, and compliance across data domains. Collaborate with business analysts, data scientists, and other stakeholders to gather requirements and deliver reliable data solutions. Use cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g., Hadoop, Spark, Kafka) to develop robust data assets. Apply DevOps best practices and CI/CD tools to automate, deploy, and optimize data workflows. Implement application health monitoring and alerting to ensure data pipeline reliability and performance. Participate in Agile/SAFe ceremonies, including sprint planning, daily standups, and retrospectives. PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals.   PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.

Assists 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. Performs data requirement analysis and the data preparation process development for targeted data solutions. Assists in designing and building data service infrastructure on multiple data platforms, according the workflow. Participates 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. PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be: Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions. Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.

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

Analytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning (ML) Competencies Application Delivery Process, Big Data Management and Analytics, Business Intelligence, Data Analysis - Software, Data Architecture, Database Structures, Effective Communications, Problem Solving, Software Development Life Cycle Work Experience Roles at this level typically require a university / college degree, with 2+ years of relevant professional experience. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.

Bachelors Certifications No Required Certification(s) Licenses No