Data Engineering at PwC
Roles, Comp & Culture
An L4 mid data engineer at PwC sits around $154K total comp from 33 verified salary datapoints. The primary Data Engineering tech consists of Azure, Databricks and Data Factory, according to current job listings. PwC pays data engineers in line with other Consulting companies. Reviews put them at 3.7 on Glassdoor, a little below the middle of the pack. PwC employees report healthy morale and employee happiness is trending up over the past year. Layoff risk scores low for the next 30 days. 221 data engineering roles are open right now.
PwC data engineer compensation
Each level's figure is the median of individual PwC offers at that level, so it reflects a typical outcome rather than an average pulled up by a few large packages. Total comp counts base salary plus equity and bonus annualized over the vest, and the range shown is the middle half of offers, with the top and bottom quarters trimmed off.
PwC employee sentiment, tracked weekly
Employee happiness for data engineers over the past year, so you can see which direction it is moving, not just where it sits today.
PwC data engineering tech stack
The languages, storage, and processing tools PwC data engineers actually work with, grouped by what they do. Tailor your system-design answers to this stack.
Data FactoryPwC data engineer job openings
A live read on what they are hiring: open roles, recent postings, where, and at what level.
Architect, design, and develop robust, end-to-end data pipelines utilizing Azure Data Factory, Azure Databricks, and Azure Synapse Analytics BR
In this role, you will have the opportunity to work with a diverse range of clients, helping them to harness the power of data and analytics to achieve their business objectives.
As a Senior Data Engineer - Senior Manager, you will leverage data and analytics to provide strategic insights and drive informed decision-making for clients.
As a Managed Services - Data Engineer - Senior Associate, you will leverage data and analytics to provide strategic insights and drive informed decision-making for clients.
Analyze and address evolving needs within health systems through data insights
As a Tax Innovation & Delivery Experience - Data Engineering - Experienced Associate, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis.
As a Tax Innovation & Delivery Experience - Data Engineering - Director, you will lead the design and development of advanced data solutions, transforming raw data into actionable insights that drive business growth.
As a Tax Innovation & Delivery Experience - Data Engineering - Senior Associate, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis.
As part of the Managed Data, Analytics & Insights team you manage and lead projects related to building the modern data ecosystem and converting insights into strategic opportunities.
Certification in Cloud Platforms [e.g., AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus
Preparing for the PwC loop
The round-by-round process, example questions, and prep plan are on the interview guide.
Compare PwC with other data engineering employers
How the role, pay, and loop stack up against peer companies.
Prepare at PwC interview difficulty
- 01
Reading a solution is not the same as writing one
Every engineer who has frozen on a query they had read a dozen times knows the gap. The only preparation that closes it is producing the answer yourself, under time, before the interview does it for you
- 02
76% of hiring managers reject on the coding task, not the resume
From HackerRank's 2024 Developer Skills Report. Candidates who look strong on paper still fail the live screen if they haven't done timed, executable practice
- 03
5 problem shapes cover 80% of data engineer loops
Dedup, sessionization, top-N-per-group, slowly-changing dimensions, partition tricks. Writing the shapes by hand turns the unfamiliar into pattern recognition