Data Engineering at Cognizant Technology Solutions
Roles, Comp & Culture
An L4 mid data engineer at Cognizant Technology Solutions sits around $132K total comp from 27 verified salary datapoints. The primary Data Engineering tech consists of Azure, CI/CD and AWS, according to current job listings. Cognizant Technology Solutions pays data engineers slightly below other Technology companies. Reviews put them at 3.6 on Glassdoor, a little below the middle of the pack. Employee sentiment at Cognizant Technology Solutions reads neutral and employee happiness is trending up over the past year. Layoff risk scores low for the next 30 days. 37 data engineering roles are open right now.
Cognizant Technology Solutions data engineer compensation
Each level's figure is the median of individual Cognizant Technology Solutions 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.
Cognizant Technology Solutions 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.
Recent Cognizant Technology Solutions events
Layoffs, leadership changes, and other major moves at the company, with dates.
- Exec departureFeb 2026Leadership change
- Exec departureMay 2025Leadership change
Notable company events we track, with dates.
Cognizant Technology Solutions data engineering tech stack
The languages, storage, and processing tools Cognizant Technology Solutions data engineers actually work with, grouped by what they do. Tailor your system-design answers to this stack.
SQL
Data FactoryCognizant Technology Solutions data engineer job openings
A live read on what they are hiring: open roles, recent postings, where, and at what level.
Architect complex, high-volume data platforms spanning batch, real-time, and streaming pipelines using Azure Synapse Analytics, Azure Data Factory, Azure Databricks, Event Hubs/Stream Analytics, and Data Lake Storage Gen2.
Architect, design, cost and plan solutions that will support delivery teams as those solutions are implemented into live services.
BR We are seeking a highly skilled Data Engineer to design, build, and maintain scalable data infrastructure and pipelines.
Build and maintain feature stores with support for both batch and real-time features.
Build and maintain scalable data pipelines on Azure.
· Build and orchestrate ETL/ELT workflows using AWS Glue and AWS Step Functions.
Build and orchestrate ingestion and transformation pipelines in Azure Data Factory using mapping and data flows, linked services, datasets, triggers, and parameterized, metadata-driven frameworks.
Design and deliver end-to-end data architecture solutions leveraging BigQuery, Cloud SQL, AlloyDB, and Python to support large-scale transportation and logistics analytics.
Build and optimize scalable data pipelines using Python and PySpark to ingest, transform, and validate large volumes of data.
Design and build scalable batch and near real-time data ingestion pipelines using Snowpipe and Snowpipe Streaming.
Preparing for the Cognizant Technology Solutions loop
The round-by-round process, example questions, and prep plan are on the interview guide.
Compare Cognizant Technology Solutions with other data engineering employers
How the role, pay, and loop stack up against peer companies.
Prepare at Cognizant Technology Solutions 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
Related Guides
Cognizant Technology Solutions Salary
Cognizant Technology Solutions DE compensation by level, from verified salary reports.
DE Interview Prep Guide
Complete preparation framework for data engineering interviews.
Data Modeling Questions
Star schema, SCD, grain definition, and normalization.
The weekly data challenge
Dirty, production-shaped data, scored blind each week.