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
Defines data service requirements and the data preparation process development
Designs and builds data service infrastructure on multiple data platforms
Develops and implements data solutions for multiple applications to ensure scalability, availability and maintainability
Implements data migration and transformation activities/processes to ensure accuracy and security of data solutions

Experience with Hadoop, Spark, Kafka, Python, Batch data loading, Streaming data, CA-7 scheduling
Data lakehouse
ETL pipelines
Data warehousing
Apache Iceberg
3+ years of relevant / direct industry experience
Bachelors degree
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

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

Data Engineer – Data Products, Hadoop, Spark, Kafka, Python, CA-7, ETL Data Warehousing

Key skills