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Closed on July 21, 2026.
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Managed Services - Senior Data Engineer - Senior Manager
Manager
Senior
Analytics
Business Analytics
Business Intelligence
Data
Data Analysis
Data Analytics
Data Engineer
Data Integration
Data Platform
Data Processing
Data Warehouse
Database
Datastage
ETL
Ibm Db2
Information Technology (IT)
Managed Services
MS SQL
Oracle Bi
Qlikview
SQL
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Job Description
Senior Data Engineer - Senior Manager role at PwC in Montpelier, VT (onsite) offers an opportunity to lead data engineering initiatives for clients, with a salary range of USD 124,000 to 280,000 per year.
Responsibilities
- Develop innovative solutions to optimize client performance and secure a competitive edge, including roadmap and solution design.
- Apply advanced analytics to support client operations and strategic objectives, with a focus on AWS data engineering and Redshift.
- Build and maintain data pipelines and architectures to enable business intelligence efforts, using DataStage and ETL processes.
- Implement data visualization capabilities to deliver actionable insights, leveraging SQL Server and DB2.
- Collaborate with stakeholders to identify data challenges and opportunities within managed services and service level agreements.
- Coach and motivate teams to solve complex problems and deliver high-quality results.
- Apply systems thinking to reveal underlying issues and opportunities within client projects, including workload orchestration and scheduling.
- Validate outcomes with clients and incorporate feedback to refine solutions, focusing on CSAT and performance tuning.
- Lead teams through ambiguous and challenging situations with composure and sound judgment.
Requirements
- Bachelor's degree required
- Minimum 6 years of relevant experience
Technologies
- AWS
- Redshift
- DataStage
- ETL
- SQL Server
- DB2
- Python
- Java
- QlikView
- Oracle BI
Benefits
- Medical
- Dental
- Vision
- 401k
- Holiday pay
- Vacation
- Personal and family sick leave
- Annual discretionary bonus
What sets you apart
- Preference for at least one of the following fields: computer and information science; economics with finance or technology; operations management/research; statistics; or engineering
- Demonstrated expertise in data architecture development and data pipeline management
- Proficiency in Python and Java for complex data analysis and visualization
- Strong experience with business intelligence tools such as QlikView and Oracle BI
- Proven ability to lead strategic questioning and engage stakeholders effectively
- Application of systems thinking to identify root problems and opportunities
- Experience directing teams through complex and ambiguous situations
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