Data Engineer (Informatica/Teradata/Datawarehouse)
Data Engineer (Informatica/Teradata/Datawarehouse)

Data Engineer (Informatica/Teradata/Datawarehouse)

Full-Time 42000 - 84000 ÂŁ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and maintain data pipelines, collaborate with teams, and optimise database performance.
  • Company: Join PNC, a leading financial services company focused on customer experience and inclusivity.
  • Benefits: Enjoy remote work options, comprehensive health coverage, 401(k) match, and generous paid time off.
  • Why this job: Be part of a dynamic team that values innovation and offers opportunities for personal growth.
  • Qualifications: Requires a degree and 3+ years of relevant experience; certifications are a plus.
  • Other info: This role is based in multiple locations, including Pittsburgh, Cleveland, Birmingham, and Dallas.

The predicted salary is between 42000 - 84000 ÂŁ per year.

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; Cleveland, OH; Birmingham, AL or Dallas, TX. The position is primarily based in a PNC location. Responsibilities require time in the office or in the field on a regular basis. Some responsibilities may be performed remotely, at the manager’s discretion.

Key responsibilities:

  • Design, develop and maintain scalable and efficient data pipelines and ETL processes.
  • Collaborate with analysts and stakeholders to gather requirements and implement data solutions that meet business needs.
  • Propose and design data solutions to address complex business needs. Prepare technical and procedural documentation required.
  • Participate in code reviews and testing.
  • Apply modern principles, methodologies, and tools to advance business initiatives and capabilities.
  • Develop and manage data integrations between various systems, ensuring seamless data flow and consistency.
  • Optimize database and query performance to support analytical workloads.
  • Monitor and troubleshoot data workflows to ensure data quality and integrity at all times.
  • Stay current with industry trends, technologies and best practices to continuously improve our data ecosystem.

Skills:

  • Experience with data pipelines and ETL - Informatica.
  • Experience in SQL and database management systems.
  • Knowledge of data modelling, warehousing concepts, and ETL processes.
  • Experience with big data technologies and frameworks such as Hadoop, Hive, Spark. Programming experience in Python or Scala.
  • Demonstrated analytical and problem-solving skills.
  • Familiarity with cloud platforms (e.g. Azure, AWS) and their data-related services.
  • Proactive and detail-oriented professional with a strong sense of ownership.
  • Creative problem solver who can tackle complex data challenges.
  • Mentor who can guide junior engineers and contribute to team growth.
  • Excellent problem-solving, communication and collaboration skills.
  • Ability to work in an agile environment. Experience with effectively prioritising and executing tasks in a high-pressure environment successfully.
  • Experience with code deployment tools such as Udeploy, Artifactory, GitHub.

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.

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
  • 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: $55,000.00 – $152,375.00. 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.

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.

Disability Accommodations Statement:

If an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest@pnc.com. 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.

Data Engineer (Informatica/Teradata/Datawarehouse) employer: JobFlurry

At PNC, we pride ourselves on being an exceptional employer, offering a collaborative and inclusive work culture that values each employee's contributions. Our comprehensive benefits package, including generous paid time off, educational assistance, and wellness programmes, supports both personal and professional growth. With opportunities to work in dynamic locations like Pittsburgh, Cleveland, Birmingham, and Dallas, our Data Engineers can thrive in an environment that encourages innovation and career advancement.
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Contact Detail:

JobFlurry Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Engineer (Informatica/Teradata/Datawarehouse)

✨Tip Number 1

Familiarise yourself with the specific technologies mentioned in the job description, such as Informatica, Teradata, and data warehousing concepts. Having hands-on experience or projects that showcase your skills in these areas can set you apart from other candidates.

✨Tip Number 2

Network with current or former employees of PNC, especially those in similar roles. They can provide valuable insights into the company culture and the specific expectations for the Data Engineer position, which can help you tailor your approach during interviews.

✨Tip Number 3

Stay updated on industry trends and best practices related to data engineering. Being able to discuss recent advancements or tools in the field during your interview will demonstrate your passion and commitment to continuous learning.

✨Tip Number 4

Prepare to discuss your problem-solving skills and how you've tackled complex data challenges in the past. Use specific examples that highlight your analytical thinking and ability to work under pressure, as these are key competencies for the role.

We think you need these skills to ace Data Engineer (Informatica/Teradata/Datawarehouse)

ETL Process Design and Development
Informatica Expertise
Teradata Knowledge
SQL Proficiency
Data Modelling Skills
Data Warehousing Concepts
Big Data Technologies (Hadoop, Hive, Spark)
Programming in Python or Scala
Cloud Platform Familiarity (Azure, AWS)
Data Integration Management
Database Performance Optimisation
Data Quality Monitoring
Analytical and Problem-Solving Skills
Agile Methodology Experience
Code Deployment Tools (Udeploy, Artifactory, GitHub)
Technical Documentation Preparation
Collaboration and Communication Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with Informatica, Teradata, and data warehousing. Use keywords from the job description to demonstrate your fit for the role.

Craft a Strong Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of PNC's values. Mention specific projects or experiences that align with the responsibilities outlined in the job description.

Showcase Technical Skills: In your application, emphasise your technical skills, especially in SQL, ETL processes, and big data technologies like Hadoop and Spark. Provide examples of how you've used these skills in past roles.

Highlight Problem-Solving Abilities: Demonstrate your analytical and problem-solving skills by including examples of complex data challenges you've tackled. This will show PNC that you can handle the demands of the role effectively.

How to prepare for a job interview at JobFlurry

✨Showcase Your Technical Skills

Be prepared to discuss your experience with data pipelines, ETL processes, and SQL. Highlight specific projects where you've successfully implemented these technologies, especially using Informatica or Teradata.

✨Demonstrate Problem-Solving Abilities

Expect questions that assess your analytical thinking and problem-solving skills. Prepare examples of complex data challenges you've faced and how you approached them, particularly in an agile environment.

✨Understand the Business Context

Research PNC and understand their business model and how data engineering supports their objectives. Be ready to discuss how your work can contribute to enhancing customer experiences and managing risks.

✨Prepare for Collaboration Questions

Since collaboration is key in this role, think of examples where you've worked effectively with analysts and stakeholders. Be ready to explain how you gather requirements and implement data solutions that meet business needs.

Data Engineer (Informatica/Teradata/Datawarehouse)
JobFlurry
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  • Data Engineer (Informatica/Teradata/Datawarehouse)

    Full-Time
    42000 - 84000 ÂŁ / year (est.)

    Application deadline: 2027-07-12

  • J

    JobFlurry

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