Design, develop and maintain data warehouses with scalable architectures to support BI applications
Analyze business intelligence data and recommend solutions
Support and guide IT and business customers in designing data warehouse architecture
Lead and consult on the implementation of data warehouses
Ensure the solutions align with organizational standards

5+ years of industry-relevant 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
Work with containerized environments (Docker, Kubernetes/OCP)
Optimize Spark jobs for performance, memory, and compute efficiency
Partner with business stakeholders and product teams to define data requirements
Provide technical leadership and mentor junior engineers
Ensure adherence to enterprise data governance, security, and compliance standards
Bachelors degree in a relevant field

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
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

Senior Data Engineer – Big Data Platform Team

Key skills