Managed Services - Senior Data Engineer - Senior Manager

PWC

Quick summary

Work type
On-site
Location
Phoenix, AZIndianapolis, INGrand Rapids, MIRaleigh, NCCharlotte, NC
Salary
$124,000–$280,000 / yr
Posted
1 day ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $180k
This role $202k
$101k most similar roles pay here $299k

This role pays more than 70% of similar roles. Most pay $152,150–$207,350 — the shaded band above. At the midpoint, this role pays about $202k versus about $180k for comparable roles.

Based on 238 similar postings.

Employer

About PWC

PwC (PricewaterhouseCoopers) is one of the "Big Four" accounting and professional services firms, providing audit, tax, and advisory services to companies, governments, and institutions worldwide. Industry: Professional Services & Accounting

PWC currently has 54 open roles on FindRole.

Listed pay typically runs $99,000–$232,000 across 54 roles with salary data.

Most-posted roles

View all roles at PWC

At a glance

TL;DR · Managed Services - Senior Data Engineer - Senior Manager

As a Senior Data Engineer - Senior Manager in PwC’s Technology Consulting practice, you will lead the development of innovative data solutions that optimize business performance for clients. Your day-to-day responsibilities include building and maintaining robust data pipelines using tools like AWS Redshift and IBM DataStage, implementing advanced analytics techniques to support strategic goals, and coaching teams to solve complex problems with composure and sound judgment. You will utilize Python and Java for complex data analysis and visualization, and work closely with stakeholders to identify opportunities and address challenges through systems thinking. This role demands expertise in business intelligence tools such as QlikView and Oracle BI, and the ability to navigate ambiguous situations while fostering a diverse team environment.

What you'll do

  • Develop innovative solutions to optimize business performance and enhance competitive advantage.
  • Utilize advanced analytics techniques to support client operations and strategic goals.
  • Build and maintain data pipelines and architectures for business intelligence efforts.
  • Implement data visualization tools to provide actionable insights and improve outcomes.
  • Collaborate with stakeholders to identify and address data challenges and opportunities.
  • Apply systems thinking to identify underlying problems and opportunities within projects.
  • Validate outcomes with clients and refine solutions based on feedback.

What we're looking for

  • At least one relevant field of study: Computer Science, Economics, Engineering, or Statistics.
  • Advanced skills in data architecture development and pipeline management.
  • Proficiency in Python and Java for complex data analysis and visualization.
  • Experience with AWS data engineering, Redshift, DataStage, and ETL tools.
  • Expertise in business intelligence tools like QlikView and Oracle BI.
  • Ability to apply systems thinking to identify underlying problems and opportunities.
  • Strong coaching and motivational skills for team problem-solving.

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