Data Engineer – Big Data Platform

PNC Financial Services Group is seeking a Data Engineer to join its Big Data Platform team in Birmingham, Alabama. The role focuses on building and refining cloud-native data platforms, safeguarding health and performance, and enabling analytics for stakeholders across the organization. A Bachelor’s degree and at least three years of relevant experience are expected to support the design and operation of scalable data solutions.

Location: Birmingham, AL (onsite). Salary: USD 86,250 – 172,500 per year. Experience: minimum 3 years. Education: Bachelor’s degree.

Responsibilities

• Monitor, maintain, and improve the health and performance of the data platform
• Ensure stability, reliability, and scalability of data systems
• Adhere to platform operations and data engineering standards, and promote best practices across technical and business teams
• Regularly review the data platform architecture to identify opportunities for automation, optimization, right-sizing, and cost reduction
• Lead user migrations to a unified data platform
• Modernize legacy Hadoop-based systems toward cloud-native architectures
• Design and build scalable, modern data platforms using open-source technologies such as Apache Iceberg, Airflow, and Trino
• Implement data lakehouse architectures to ensure structured and transactional data availability
• Partner with business stakeholders to translate analytical needs into technical solutions
• Apply contemporary methodologies and tools to advance business initiatives and capabilities
• Act as an internal consultant on big data tools and capabilities
• Enhance and optimize query performance and data structures to support analytics
• Guide stakeholders in leveraging data for business insights
• Define and implement internal process improvements through analytics that inform key performance metrics

Requirements

• Strong proficiency in Python, Spark, and Scala
• Solid background in SQL development and experience with enterprise databases (Oracle, Teradata, etc.)
• Experience with modern cloud-native and open-source tools such as Apache Iceberg, Apache Airflow, and Trino
• Extensive experience in modern data engineering and big data ecosystems/frameworks
• Hands-on experience building scalable data platforms and analytics solutions using data lakehouse architectures
• Familiarity with cloud platforms (Azure, AWS) and related data services
• Ability to contribute to solution design beyond data movement
• Strong communication and ability to bridge technical and non-technical audiences
• Collaborative mindset with experience working across cross-functional teams
• Strong problem-solving and critical thinking capabilities

Technologies

• Python
• Spark
• Scala
• SQL
• Oracle
• Teradata
• Azure
• AWS
• Apache Iceberg
• Apache Airflow
• Trino

Benefits

• Medical and prescription coverage with a Health Savings Account option
• Dental and vision insurance
• Life insurance for employees, plus coverage for spouses and children
• Short- and long-term disability protection
• 401(k) plan with employer matching
• Pension and stock purchase programs
• Dependent care reimbursement
• Backup care for children or elders
• Adoption, surrogacy, and doula reimbursement
• Educational assistance, including select programs fully paid
• Wellness program with financial incentives
• Maternity and parental leave offerings
• Up to 11 paid holidays per year
• Up to 9 occasional absence days each year
• 15 to 25 vacation days annually, depending on career level

Job Description

• Develops, supports, and implements data services for multiple applications to meet business objectives, using technical expertise to design and maintain solutions
• Collaborates with users, developers, operations, and business partners to define data service requirements and data preparation processes
• Designs and builds data service infrastructure across multiple data platforms aligned with key processes and workflows
• Develops and implements scalable, available, and maintainable data solutions for multiple applications
• Executes data migration and transformation activities to ensure data accuracy and security

Pay Transparency

• Base Salary: 86,250 – 172,500 USD per year
• Salaries may vary by geographic location, market data, and individual skills, experience, and education
• The role is incentive eligible based on company, business, and individual performance

Disability Accommodations

To request accommodations during the application process, email [email protected] with the subject line "accommodation request" and include your name, the job ID, and your preferred contact method. Calls for accommodation assistance can be made to 877-968-7762. PNC provides an inclusive and accessible workplace with reasonable accommodations for qualified applicants.

Equal Employment Opportunity

PNC offers equal employment opportunities to qualified individuals regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other protected categories.

California Residents

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Certifications

No certification requirements.

Licenses

No license requirements.