Managed Services - Senior Data Engineer - Manager
Job Description
PwC's Managed Services is seeking a Senior Data Engineer and Manager to lead data engineering initiatives, guide project teams, and manage client accounts from an onsite Greensboro, NC office. This role combines hands-on analytics work with leadership and client-facing responsibilities to deliver data-driven solutions that enhance business performance. The position offers a salary range of USD 99,000 to 232,000 per year.
Responsibilities
- Leading data engineering projects to drive strategic insights and optimize business performance (ETL/ELT integration)
- Developing and implementing innovative data solutions using advanced analytics techniques (DataStage)
- Managing and mentoring teams to enhance their skills and deliver quality client services (pipeline architecture)
- Utilizing business intelligence tools and cloud-based analytics platforms to improve data-driven decision-making (AWS & Redshift)
- Building and maintaining data pipelines and architectures to support analytics initiatives (DB2, SQL Server)
- Collaborating with stakeholders to identify opportunities for data utilization and process improvement (GoldenGate & CDC)
- Overseeing the deployment of scalable data visualization and reporting solutions (performance tuning)
- Promoting the adoption of new technologies and methodologies within data and analytics teams (S3, Glue)
- Addressing and resolving conflicts or issues with clients and team members, escalating when necessary
- Upholding professional and technical standards, including adherence to the firm's code of conduct and independence requirements
Requirements
- Bachelor's degree
- At least 4 years of experience
Technologies
- DataStage
- AWS
- Redshift
- DB2
- SQL Server
- GoldenGate
- CDC
- S3
- Glue
- BIRT
- Python
- Java
- QlikView
- Spotfire
Benefits
- medical
- dental
- vision
- 401k
- holiday pay
- vacation
- personal and family sick leave
What Sets You Apart
- Preference for at least one of the following fields of study: Computer and Information Science, Computer and Information Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology, Operations Management/Research, Statistics, Engineering
- Demonstrating proficiency in Business Intelligence and Reporting Tools (BIRT)
- Utilizing Python and Java for data engineering tasks
- Excelling in data visualization with QlikView and Spotfire
- Developing data architecture and pipeline strategies
- Embracing continuous process improvement in data analytics
- Leading teams in data-driven decision-making processes