Managed Services - Data Engineer - Senior Associate

PWC

Quick summary

Work type
On-site
Location
Phoenix, AZIndianapolis, INMIRaleigh, NCCharlotte, NC
Salary
$77,000–$202,000 / yr
Posted
2 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $174k
This role $140k
$61k most similar roles pay here $227k

This role pays less than 73% of similar roles. Most pay $137,450–$211,200 — the shaded band above. At the midpoint, this role pays about $140k versus about $174k for comparable roles.

Based on 240 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.

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View all roles at PWC

At a glance

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

As a Managed Services Data Engineer Senior Associate, you will join a dynamic team focused on leveraging advanced analytics and data solutions to optimize business performance for clients. Your daily responsibilities include developing innovative data architectures and pipelines using tools like DataStage and ETL, creating insightful reports with Oracle Business Intelligence and QlikView, and collaborating closely with stakeholders to identify and solve complex data challenges. You will also engage in stakeholder management to foster meaningful client relationships and deliver high-quality work that aligns with strategic business goals. This role requires proficiency in Python and Java, along with a strong background in fields such as Computer Science or Statistics, and an ability to excel in dynamic environments where continuous learning is essential.

What you'll do

  • Develop and implement innovative data solutions to optimize business performance.
  • Utilize advanced analytics techniques to drive strategic insights for clients.
  • Build and maintain data pipelines using tools like DataStage and ETL.
  • Create insightful reports and dashboards with business intelligence tools.
  • Identify data challenges and opportunities for continuous process improvement.
  • Interpret complex data sets to inform strategic recommendations for clients.

What we're looking for

  • At least one year of experience developing and implementing data solutions.
  • Proficiency in Python, Java, and SQL for advanced analytics.
  • Experience with Business Intelligence tools like QlikView and Oracle BI.
  • Ability to build and maintain complex data pipelines using ETL tools.
  • Strong analytical skills for interpreting complex datasets and informing strategic recommendations.
  • Demonstrated proficiency in stakeholder management and client engagement.

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