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. As a Data Engineer Associate within PNC's Asset Management Group (AMG) organization, you will be based in Pittsburgh, PA; Cleveland, OH; Dallas, TX; or Birmingham, AL.

As a Data Engineer Associate you will need:

a. Hands on experience with PySpark and Hadoop ecosystems, including developing and maintaining data pipelines using Spark, Hive, and HDFS.
b. Strong SQL skills with the ability to understand business logic, write optimized queries, and work with large analytical datasets in Hive/Impala.
c. Experience building and supporting data ingestion and transformation pipelines, including source to target mappings, data validation, and quality checks.
d. Familiarity with agile delivery models, collaborating within cross functional teams (developers, analysts, QA, product owners) and participating in sprint based development and releases.
e. Working knowledge of data governance and tooling, such as metadata management (e.g., Alation), documentation standards, and controlled promotion of data to production environments.

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.

Job Description

• 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.

Qualifications

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.

Preferred Skills

Analytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning (ML), Understanding Data

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

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