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PNC

Data Engineer

Pittsburgh, PA, United States
Birmingham, AL, United States
Phoenix, AZ, United States
Lakewood, CO, United States
Strongsville, OH, United States
Farmers Branch, TX, United States

Base Salary: $86,250.00 – $158,125.00

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Job details

Pay: Base Salary: $86,250.00 – $158,125.00
Posting language: English
Posted: Nov 9, 2026

Original job description

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 within PNC's Data and Automation organization, you will be based in Pittsburgh, PA, Strongsville, OH, Dallas, TX, Denver, CO, Phoenix, AZ or Birmingham, AL.

We are seeking a Data Engineer to help support large-scale enterprise big data platforms. This team is responsible for building and evolving modern data solutions that enable analytics across the organization while partnering closely with business stakeholders.

Ideal candidates thrive in problem-solving environments, help shape analytical solutions, and contribute to the design of a next-generation, cloud-native data platform.

Key Responsibilities:

Monitor, maintain, and improve the health and performance of the data platform
Ensure stability, reliability, and scalability of data systems
Implement best practices for platform operations and data engineering standards. Ensure understanding and adherence across technical and business customers
Perform frequent reviews of the data platform architecture and identify areas for automation, optimization, right-sizing, and cost reduction to support health of the environment
Contribute to large-scale transformation initiatives, including: ○ Driving user migration to a unified data platform ○ Modernizing legacy Hadoop-based systems to cloud-native architectures
Design and build scalable, modern data observability analytics to support site reliability ○ Develop ETL/ELT pipeline monitoring solutions to identify bottlenecks, failures or abnormal data processing metrics ○ Establish intelligent alerts to identify high utilization Spark and Trino jobs to ensure service ability for all users ○ Capture and report on compute usage across containers in Kubernetes, Docker, etc. to give visibility to job/query optimization needs ○ Develop dashboards and visualizations that provide real-time visibility into enterprise data platform health, performance and availability
Partner with business stakeholders to translate analytical needs into technical solutions ○ Apply modern principles, methodologies and tools to advance business initiatives into actions through data and BI tools
Act as an internal consultant to internal customers on big data tools and capabilities ○ Enhance and optimize query performance and data structures to support analytical ○ Guide stakeholders in understanding how to leverage data for business insights
Design, implement and standardize the use of AI and Generative AI tools for automation of tasks, accelerate development and streamline platform efficiency and governance ○ Code generation for query and cost optimization to maximize platform resources ○ Use vector databases, embedding pipelines, feature stores Retrieval-Augmented Generation workflows to engineer solutions ○ Maintain integrity of engineering code and data through automated code generation, profiling and data cleansing tools.
Define and implement internal process improvements through the development of detailed analytics that provide actionable insights into key business performance metrics

Key Skills and Experience:

Strong proficiency in relevant programming languages such as Python, Spark, Scala
Strong background and practical experience in SQL development and enterprise database systems (Oracle, Teradata, etc.)
Experience with modern, cloud-native and open-source tools is highly valued: ○ Apache Iceberg ○ Apache Airflow ○ Trino
Strong experience in modern data engineering and big data ecosystems / frameworks
Hands-on experience working in scalable data platforms and analytical solutions using data Lakehouse architecture
Knowledge and experience with machine learning concepts for automation development
Familiarity with cloud platforms (e.g. Azure , AWS ) and their data related services
Experience with dedicated data observability tools(Monte Carlo, Acceldata) or broad monitoring stacks (Datadog, Grafana, Prometheus) a plus
Proven ability to go beyond data movement and contribute to solution design
Strong communication and presence - able to translate between technical and non-technical audiences
Proven ability to bridge the gap between business and engineering teams
Collaborative mindset with experience working across cross-functional teams
Strong problem-solving and critical thinking skills

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

Develops, supports and implements data services for multiple applications to meet business objectives and user requirements. Uses technical knowledge and industry experience to design, build and maintain technology solutions.
Works closely with users, developers, operations and business partners to define data service requirements and the data preparation process development.
Designs and builds data service infrastructure on multiple data platforms, according to key business processes and the overall workflow.
Develops and implements data solutions for multiple applications to ensure its scalability, availability and maintainability.
Implements data migration and transformation activities/processes 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 Big Data, Data Architecture Development, Database Management, Data Governance, Data Migrations, Data Modeling, Data Pipelines, Data Warehousing (DW), Python (Programming Language), Structured Query Language (SQL)

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 3+ years of relevant / direct industry experience. Certifications are often desired. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.

Education Bachelors

Certifications No Required Certification(s)

Licenses No Required License(s)

Language Assessments

No Required or Preferred Language Assessments

Pay Transparency

Base Salary: $86,250.00 – $158,125.00

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.

Application Window

Generally, this opening is expected to be posted for two business days from 11/09/2026, although it may be longer with business discretion.

Benefits

PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives.

In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 9 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service. To learn more about these and other programs, including benefits for full time and part-time employees, visit pncthrive.com.

Disability Accommodations Statement

If an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest@pnc.com. Please include “accommodation request” in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call 877-968-7762 and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation 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.

This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history.

California Residents

Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.

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More about this job

Skills

Problem solving
Data engineering
Apache Hadoop
Detect bottlenecks
Process data
Kubernetes
Docker
Programming languages
Python
Apache Spark
Scala
SQL
Database management systems
Oracle
Teradata
Apache Airflow
Machine learning
Microsoft Azure
AWS
Datadog
Grafana
Prometheus
Communication skills
Critical thinking
Business processes
Workflow
Risk management
Data modelling
Data warehousing
Data management
Google Analytics
Business intelligence
Data analysis
Software development

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