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R227020 Job Profile 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 Technology organization, you will be based in Pittsburgh, PA, Dallas, TX, Cleveland OH 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 platforms leveraging: ○ Open-source technologies such as Apache Iceberg, Airflow, and Trino ○ Data lakehouse architecture for structured, transactional data availability Partner with business stakeholders to translate analytical needs into technical solutions ○ Apply modern principles, methodologies and tools to advance business initiatives and capabilities 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 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 building scalable data platforms and analytical solutions using data lakehouse architectures Familiarity with cloud platforms (e.g Azure , AWS ) and their data related services 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 Analytical Thinking, Big Data, Competitive Advantages, Data Analytics, Data Lakehouse Architecture, Data Mining, Data Science, Machine Learning (ML), 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) Pay Transparency Base Salary: $86,250.00 – $172,500.00 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 06/30/2026, 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
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
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When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.