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PRICE WATERHOUSE COOPERS

Data Engineer - Manager

PRICE WATERHOUSE COOPERS
Stamford, CT $99k - $232k/yr Full time Posted 18d ago
Manager Analytics Cloud Operations Data Analysis Data Analytics Data Architecture Data Engineer Data Integration Data Pipeline Data Platform Data Processing Data Warehouse Database Databricks ETL SQL
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Job Description

PwC offers a hybrid Data Engineer - Manager role in Stamford, CT with a competitive salary range of USD 99,000 to 232,000 per year. The position blends leadership of client-focused data initiatives with hands-on design of data infrastructure, pipelines, and analytics capabilities. Benefits include medical, dental, and vision coverage, a 401(k) plan, holiday pay, vacation, and personal and family sick leave. You will guide cross-functional teams, manage client accounts, and translate data-driven insights into measurable business growth.

Benefits

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

Responsibilities

  • Design and build scalable data architectures and systems that enable efficient processing and analytics
  • Create and manage data pipelines, integration, and transformation solutions to meet client needs
  • Leverage AWS and Azure Data Factory to strengthen data engineering capabilities
  • Lead teams in planning and executing data driven projects
  • Oversee deployment of scalable data solutions on Databricks and Snowflake
  • Mentor teammates in data architecture development and database optimization
  • Ensure data quality, security, and compliance within analytics frameworks
  • Identify opportunities to apply data for growth and performance improvements
  • Coach junior staff to develop skills and foster innovation
  • Address conflicts and engage in critical conversations with clients and stakeholders

Requirements

  • Bachelor's degree required
  • Minimum four years of experience

Technologies

  • Amazon Web Services (AWS)
  • Azure Data Factory
  • Databricks
  • Snowflake

What sets you apart

  • Preference for study in Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics
  • Experience using AWS and Azure Data Factory for data engineering
  • Developing data architecture and optimization strategies with Snowflake and Databricks
  • Implementing data anonymization and security best practices in complex systems
  • Strength in dimensional modeling and data pipeline management
  • Leading teams in data warehouse troubleshooting and performance tuning
  • Mentoring junior staff in data strategy and validation techniques

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