Data Engineer Senior - Data Products Organization (Cloudera Hadoop)

Position Overview At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. As a Data Engineer Senior within PNC's Data Product Organization, you will be based in Pittsburgh, PA, Strongsville, OH, Dallas, TX, or Birmingham, AL. Job Responsibilities Act as an internal consultant for other data engineering and technical teams to enhance and optimize the quality of their code, ensuring adherence to engineering best practices. Demonstrate data literacy skills to describe business outcomes, data uses, data sources, and management concepts and analytical approaches to all organizational levels. Initiate and develop solutions as part of a team; review architecture and identify opportunities for automation, optimization, right‑sizing, and cost reduction. Design, build, and test data integration processes between business‑critical applications to solve complex problems within financial services. Define and implement internal process improvements through detailed analytics that provide actionable insights into key business performance metrics. Command Hadoop, Spark 3.x, Python, Kafka, and complex orchestration tools. Communicate and lead a group of data engineers. Work independently within a fast‑paced agile environment. Lead the development of data solutions, including data requirements analysis and data preparation, across multiple applications. Design and build data service infrastructure on multiple data platforms according to workflow needs. Oversee the scalability, availability, and maintainability of data solutions. Consult on data migration and transformation to ensure accuracy and security. Technical Skills Spark / PySpark Cloudera Hadoop (Hive, HQL, Impala, Beeline, HDFS) Linux Iceberg Kafka streaming CA7 orchestration Data Engineer Lead Experience Qualifications University or college degree, or an equivalent combination of education and experience. 5+ years of industry‑relevant experience. Proficiency in big data technologies and data architecture. Strong analytical and problem‑solving skills. Experience with application delivery processes and software development life cycle. Effective communication skills. Leadership experience. Preferred Skills Analytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning. Pay Transparency Base Salary: $65,000.00 – $171,925.00. Salaries may vary based on geographic location, market data, and individual skills, experience, and education. This role is incentive eligible based on performance. Benefits Medical, prescription drug coverage with Health Savings Account. Dental and vision coverage. Life insurance for employee and spouses/children. Short‑term and long‑term disability protection. 401(k) with PNC match, pension, and stock purchase plans. Dependent care reimbursement account. Backup child/elder care support. Adoption, surrogacy, and doula reimbursement. Educational assistance for select programs fully paid. Robust wellness program with financial incentives. Paid time off including maternity/parental leave, holidays, occasional absence days, vacation days, and additional days based on service. 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 Section 19 of the FDIA and the SAFE Act/FINRA prohibitions on certain criminal history. Disability Accommodations Statement If an accommodation is required to participate in the application process, please contact us via email at View email address on click.appcast.io or call View phone number on click.appcast.io and say "Workday". All information will be kept confidential and used only as necessary. California Residents Refer to the California Consumer Privacy Act Privacy Notice for information on how PNC may use or disclose your personal data in our hiring practices. #J-18808-Ljbffr Fairygodboss