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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

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