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Data Engineer Senior - Data Products Organization (Hadoop, Spark 3, Python, Kafka)
Data Engineer Senior - Data Products Organization (Hadoop, Spark 3, Python, Kafka)PNC • Luna Rd , Dallas Innovation Center
Data Engineer Senior - Data Products Organization (Hadoop, Spark 3, Python, Kafka)

Data Engineer Senior - Data Products Organization (Hadoop, Spark 3, Python, Kafka)

PNC • Luna Rd , Dallas Innovation Center
[job_card.30_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
  • [job_card.part_time]
[job_card.job_description]

Description

  • Leads in developing, supporting and implementing data solutions for multiple applications in order to meet business objectives and user requirements. Leverages technical knowledge and industry experience to design, build and maintain technology solutions.
  • Leads data requirement analysis and the data preparation process development for targeted data solutions.
  • Leads in designing and building data service infrastructure on multiple data platforms, according the workflow.
  • Oversees the development and implementation of data solutions for multiple applications to ensure its scalability, availability and maintainability.
  • Consults on data migration and transformation 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, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning

    Competencies

    Application Delivery Process, Big Data Management and Analytics, Business Intelligence, Consulting, Data Analysis - Software, Data Architecture, Database Structures, Problem Solving, Software Development Life Cycle

    Work Experience

    Roles at this level typically require a university / college degree, with 5+ years of industry-relevant experience. Specific certifications are often required. 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 : $65,000.00 – $149,500.00Salaries 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

    Generally, this opening is expected to be posted for two business days from 08 / 26 / 2025, 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; 8 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 .

    Disability Accommodations Statement

    If 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.

    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 to gain understanding of how PNC may use or disclose your personal information in our hiring practices.

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    Data Engineer Senior Data Products Organization Hadoop Spark 3 Python Kafka • Luna Rd , Dallas Innovation Center

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