Data Engineer

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 busines