Data Engineer Senior - Data Products Hadoop/Big Data
Listed on 2026-02-21
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IT/Tech
Data Engineer, Big Data
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 Senior (Hadoop/Big Data) within PNC's Data Products Organization supporting the Commercial & Institutional Banking data organization, you will be based in Pittsburgh, PA, Cleveland, OH, Birmingham, AL, Denver, CO, Phoenix, AZ or Dallas, TX.
This role is responsible for reporting and operationalizing big data; then using it to guide decisions in near real time within the bank.
Technical Expertise- Extenisve experience developing within a Cloudera Hadoop ecosystem (PySpark, Spark Streaming, Hive, Kafka, Impala)
- Strong proficiency in relevant programming languages such as Python, Scala, SQL
- Experience with Apache Flink
- Proficient in Containerization (Open Shift, Kubernetes, Docker, etc.)
- Knowledge of Unix/Linux bash shell scripting
- CA7 Orchestration
- Endevor SCM
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- 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.
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.
Preferred SkillsAnalytical Thinking, Apache Kafka, Big Data Hadoop, Cloudera Hadoop, Competitive Advantages, Data Analytics, Data Mining, Data Science, Kubernetes, Machine Learning (ML), PySpark, Python (Programming Language), Structured Query Language (SQL)
CompetenciesApplication Delivery Process, Big Data Management and Analytics, Business Intelligence, Consulting, Data Analysis - Software, Data Architecture, Database Structures, Problem Solving, Software Development Life Cycle
Work ExperienceRoles 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.
EducationBachelors
CertificationsNo Required Certification(s)
LicensesNo Required License(s)
Pay TransparencyBase Salary: $ – $ Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the…
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