Data Engineering at Ernst & Young LLP
Roles, Comp & Culture
An L4 mid data engineer at Ernst & Young LLP sits around $175K total comp from 28 verified salary datapoints. The primary Data Engineering tech consists of Azure, GCP and AWS, according to current job listings. Ernst & Young LLP pays data engineers slightly above the other companies we track. Reviews put them at 3.7 on Glassdoor, a little below the middle of the pack. Employee sentiment at Ernst & Young LLP reads neutral and employee happiness has held flat over the past year. Layoff risk scores low for the next 30 days. 82 data engineering roles are open right now.
Ernst & Young LLP data engineer compensation
Each level's figure is the median of individual Ernst & Young LLP 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.
Ernst & Young LLP 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.
Ernst & Young LLP data engineering tech stack
The languages, storage, and processing tools Ernst & Young LLP data engineers actually work with, grouped by what they do. Tailor your system-design answers to this stack.
SQL
Data Factory
FabricErnst & Young LLP data engineer job openings
A live read on what they are hiring: open roles, recent postings, where, and at what level.
Design, build, and maintain robust data pipelines and transformations using Databricks, SQL, and enterprise ETL tools to support Talent reporting and analytics.
Design, develop, and implement data engineering solutions using Databricks on cloud platforms (e.g., AWS, Azure, GCP).
Lead the design and implementation of modern data architectures, supporting transactional, operational, analytical, and AI solutions.
Design or review logical and physical data models to support analytics, AML, reporting, and AI use cases
Architect and oversee complex data workflows and high-volume streaming pipelines, leveraging platforms such as Kafka, Pub/Sub, Apache Flink, Dataflow, PySpark
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
Lead the design and development of scalable data engineering solutions using Databricks on cloud platforms (e.g., AWS, Azure, GCP).
Knowledge of data architecture, including the design and setup of scalable solutions.
Preparing for the Ernst & Young LLP loop
The round-by-round process, example questions, and prep plan are on the interview guide.
Compare Ernst & Young LLP with other data engineering employers
How the role, pay, and loop stack up against peer companies.
Prepare at Ernst & Young LLP 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