{"id":4076467,"url":"https://alion.io/job/pnc-financial-services-group-data-engineer","title":"Data Engineer","company":{"id":4228,"name":"PNC Financial Services Group","domain":"pnc.com","url":"https://alion.io/company/pnc","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":81,"open_postings":314,"ghost_share":0,"stale_share":0.745,"repost_share":0.016,"time_to_fill_p50_days":31,"computed_at":"2026-11-11T05:49:22Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pittsburgh, United States","Phoenix, United States","Lakewood, United States","Birmingham, United States","United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Apache Iceberg","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Datadog","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Feature Store","optional":false},{"name":"Grafana","optional":false},{"name":"Hadoop","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Oracle","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Teradata","optional":false},{"name":"Trino","optional":false}],"status":"live","first_seen_at":"2026-11-09T00:00:00Z","employer_posted_date":"2026-11-09","last_verified_at":"2026-11-11T15:31:10Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Position Overview\nAt 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.\nIdeal candidates thrive in problem-solving environments, help shape analytical solutions, and contribute to the design of a next-generation, cloud-native data platform.\nKey Responsibilities:\nMonitor, maintain, and improve the health and performance of the data platform\nEnsure stability, reliability, and scalability of data systems\nImplement best practices for platform operations and data engineering standards. Ensure understanding and adherence across technical and business customers\nPerform frequent reviews of the data platform architecture and identify areas for automation, optimization, right-sizing, and cost reduction to support health of the environment\nContribute to large-scale transformation initiatives, including:\nDriving user migration to a unified data platform\nModernizing legacy Hadoop-based systems to cloud-native architectures\nDesign and build scalable, modern data observability analytics to support site reliability\nDevelop ETL/ELT pipeline monitoring solutions to identify bottlenecks, failures or abnormal data processing metrics\nEstablish intelligent alerts to identify high utilization Spark and Trino jobs to ensure service ability for all users\nCapture and report on compute usage across containers in Kubernetes, Docker, etc. to give visibility to job/query optimization needs\nDevelop dashboards and visualizations that provide real-time visibility into enterprise data platform health, performance and availability\nPartner with business stakeholders to translate analytical needs into technical solutions\nApply modern principles, methodologies and tools to advance business initiatives into actions through data and BI tools\nAct as an internal consultant to internal customers on big data tools and capabilities\nEnhance and optimize query performance and data structures to support analytical\nGuide stakeholders in understanding how to leverage data for business insights\nDesign, implement and standardize the use of AI and Generative AI tools for automation of tasks, accelerate development and streamline platform efficiency and governance\nCode generation for query and cost optimization to maximize platform resources\nUse vector databases, embedding pipelines, feature stores Retrieval-Augmented Generation workflows to engineer solutions\nMaintain integrity of engineering code and data through automated code generation, profiling and data cleansing tools.\nDefine and implement internal process improvements through the development of detailed analytics that provide actionable insights into key business performance metrics\nKey Skills and Experience:\nStrong proficiency in relevant programming languages such as Python, Spark, Scala\nStrong background and practical experience in SQL development and enterprise database systems (Oracle, Teradata, etc.)\nExperience with modern, cloud-native and open-source tools is highly valued:\nApache Iceberg\nApache Airflow\nTrino\nStrong experience in modern data engineering and big data ecosystems / frameworks\nHands-on experience working in scalable data platforms and analytical solutions using data Lakehouse architecture\nKnowledge and experience with machine learning concepts for automation development\nFamiliarity with cloud platforms (e.g. Azure , AWS ) and their data related services\nExperience with dedicated data observability tools(Monte Carlo, Acceldata) or broad monitoring stacks (Datadog, Grafana, Prometheus) a plus\nProven ability to go beyond data movement and contribute to solution design\nStrong communication and presence - able to translate between technical and non-technical audiences\nProven ability to bridge the gap between business and engineering teams\nCollaborative mindset with experience working across cross-functional teams\n• Strong problem-solving and critical thinking skillsPNC 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.\nJob Description\nDevelops, 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.\nWorks closely with users, developers, operations and business partners to define data service requirements and the data preparation process development.\nDesigns and builds data service infrastructure on multiple data platforms, according to key business processes and the overall workflow.\nDevelops and implements data solutions for multiple applications to ensure its scalability, availability and maintainability.\nImplements data migration and transformation activities/processes to ensure the accuracy and security of data solutions.\nPNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:\nCustomer 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.\nManaging 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.\nQualifications\nSuccessful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensuresneeded to be successful in this position.\nPreferred Skills\nBig 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\nApplication Delivery Process, Big Data Management and Analytics, Business Intelligence, Data Analysis - Software, Data Architecture, Database Structures, Effective Communications, Problem Solving, Software Development Life CycleWork Experience\nRoles 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\nBachelorsCertifications\nNo Required Certification(s)Licenses\nNo Required License(s)Language Assessments\nNo Required or Preferred Language AssessmentsPay Transparency\nBase Salary: $86,250.00 - $158,125.00Salaries 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\nGenerally, this opening is expected to be posted for two business days from 11/09/2026, although it may be longer with business discretion.Benefits\nPNC 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.\nDisability Accommodations Statement\nIf an accommodation is required to participate in the application process, please contact us via email at . 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.\nAt 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.\nEqual Employment Opportunity (EEO)\nPNC 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.\nThis 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.\nCalifornia Residents\nRefer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring 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