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)
Collaborate with infrastructure teams for resource allocation and cluster optimization
Design and manage data on object storage platforms
Optimize Spark jobs for performance, memory, and compute efficiency
Ensure adherence to enterprise data governance, security, and compliance standards

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

Lead Software Engineer

Key skills