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PwC

Senior Data Engineer – Senior Manager

PwC

Senior Data Engineer - Senior Manager leveraging data and analytics to drive strategic insights for clients. Developing innovative solutions to optimize performance and competitive advantage within a diverse team environment.

Posted 6/19/2026full-timePhoenix • Arizona, Missouri, North Carolina • 🇺🇸 United StatesSenior💰 $124,000 - $280,000 per yearWebsite

Tech Stack

Tools & technologies
Amazon RedshiftAWSETLJavaOraclePythonSQL

About the role

Key responsibilities & impact
  • Leveraging data and analytics to provide strategic insights and drive informed decision-making for clients
  • Developing and implementing innovative solutions to optimize business performance and enhance competitive advantage (solution optimization and roadmap development)
  • Utilizing advanced analytics techniques to support client operations and strategic goals (AWS data engineering and Redshift)
  • Building and maintaining data pipelines and architectures to support business intelligence efforts (DataStage, ETL)
  • Implementing data visualization tools to provide actionable insights and improve client outcomes (SQL Server, DB2)
  • Collaborating with stakeholders to identify and address data challenges and opportunities (Managed services, and SLAs)
  • Coaching and motivating teams to solve complex problems and deliver quality results
  • Applying systems thinking to identify underlying problems and opportunities within client projects (workload orchestration and scheduling)
  • Validating outcomes with clients and acting on feedback to refine solutions (CSAT and performance tuning)
  • Directing teams through ambiguous and challenging situations with composure and sound judgment

Requirements

What you’ll need
  • At least a Bachelor's degree
  • At least 6 years of experience
  • 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 advanced skills in data architecture development and data pipeline management
  • Utilizing Python and Java for complex data analysis and visualization
  • Excelling in business intelligence tools like QlikView and Oracle BI
  • Leading strategic questioning and stakeholder engagement initiatives
  • Applying systems thinking to identify and address underlying problems
  • Directing teams through complex and ambiguous situations

Benefits

Comp & perks
  • Medical
  • Dental
  • Vision
  • 401k
  • Holiday pay
  • Vacation
  • Personal and family sick leave

ATS Keywords

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Hard Skills & Tools
data analyticsdata architecture developmentdata pipeline managementadvanced analytics techniquesdata visualizationPythonJavaSQL ServerDB2ETL
Soft Skills
strategic insightsproblem solvingteam coachingstakeholder engagementsystems thinkingdecision-makingcollaborationperformance tuningleadershipadaptability