Senior Data Engineer - Hadoop/Spark/OCP/Big Data

The PNC Financial Services Group, Inc.
Dallas, TX, United States
6 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$50,000.0 - $185,900.0
Working hours
Regular working hours
Job source

Tech stack

Amazon S3 Data Analysis Apache HTTP Server Server Applications Microsoft Azure Big Data Software Quality Code Review Continuous Integration Data Architecture Information Engineering Data Governance
+31 more
Extract Transform Load (ETL) Data Migration Data Mining Data Systems Database Storage Structures DevOps Distributed Computing Environment Distributed Data Store Github Apache Hadoop Machine Learning Performance Tuning Scrum Methodology Software Engineering SQL Databases Management of Software Versions Software Vulnerability Management Cloud Platform System Real Time Systems Apache Spark Containerization Data Lakes Kubernetes Information Technology Deployment Automation Data Analytics Bitbucket Data Management Data Pipelines Docker Jenkins

Job description

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 Senior within PNC’s Data Products organization, you will be based in Pittsburgh, PA, Dallas, TX, Birmingham, AL, Strongsville, OH, Denver, CO, or Phoenix, AZ.

Due to the nature of the position, we are looking for Data Engineers with the following experience:

Data Pipeline Development & Engineering

  • Design, develop, and maintain scalable data pipelines using Spark, SQL, and distributed data platforms.

  • Build robust ETL/ELT frameworks supporting batch and real-time processing.

  • Ensure code quality, modularity, and reusability across pipelines.

Platform, Containerization & Infrastructure

  • Work with containerized environments (Docker, Kubernetes/OCP) to deploy and manage data workloads.

  • Support containerization initiatives for Spark workloads and platform modernization.

  • Collaborate with infrastructure teams for resource allocation, scaling, and cluster optimization.

Object Storage & Data Lake Technologies

  • Design and manage data on object storage platforms (e.g., S3, ADLS, or equivalent).

  • Implement and optimize modern table formats such as Apache Iceberg for large-scale analytics.

  • Ensure efficient data partitioning, versioning, and lifecycle management in data lakes.

DevOps & CI/CD Practices

  • Implement and maintain CI/CD pipelines for data engineering workflows (e.g., Jenkins, GitHub/Bitbucket, Azure DevOps).

  • Automate deployments, testing, and monitoring of data pipelines.

  • Support infrastructure-as-code practices and environment standardization.

  1. Resource Utilization & Performance Optimization
  • Optimize Spark jobs for performance, memory, and compute efficiency.

  • Monitor resource allocation (CPU, memory, storage) and drive improvements.

  • Identify and resolve bottlenecks in distributed processing environments.

Architecture & Solution Design

  • Contribute to data architecture decisions, including data modeling and pipeline design.

  • Support migration and modernization efforts (e.g., legacy to cloud/OCP platforms).

  • Evaluate and recommend new technologies for scalability and efficiency.

Collaboration & Leadership

  • Partner with business stakeholders and product teams to define data requirements.

  • Provide technical leadership and mentor junior engineers.

  • Participate in sprint planning, design reviews, and release governance.

Governance & Compliance

  • Ensure adherence to enterprise data governance, security, and compliance standards.

  • Follow change management (CR), code review, and deployment processes.

  • Support audit readiness and vulnerability remediation activities.

Documentation & Knowledge Sharing

  • Maintain clear technical documentation for pipelines and architecture.

  • Conduct KT sessions and support onboarding/offboarding activities.

  • Promote engineering best practices across the team.

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., + 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.

Requirements

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 (ML)

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.

Benefits & conditions

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

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.

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

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