Data Engineering at Target Corporation
Roles, Comp & Culture
An L6 staff data engineer at Target Corporation sits around $190K total comp from 16 verified salary datapoints. The primary Data Engineering tech consists of Hadoop, BigQuery and Kafka, according to current job listings. Target Corporation pays data engineers slightly below other Retail companies. Reviews put them at 3.5 on Glassdoor, toward the bottom of the pack. Target Corporation employees are stressed and employee happiness is trending down over the past year. Layoff risk scores moderate for the next 30 days. 2 data engineering roles are open right now.
Target Corporation data engineer compensation
Each level's figure is the median of individual Target Corporation 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.
Target Corporation 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 Target Corporation events
Layoffs, leadership changes, and other major moves at the company, with dates.
- LayoffJun 2026Layoff
- LayoffJun 2026Layoff
- Exec departureFeb 2026Leadership change
- Exec departureJan 2026Leadership change
- Exec departureAug 2025Leadership change
- Exec departureMay 2025Leadership change
- Exec departureApr 2025Leadership change
Notable company events we track, with dates.
Target Corporation data engineering tech stack
The languages, storage, and processing tools Target Corporation data engineers actually work with, grouped by what they do. Tailor your system-design answers to this stack.
SQLTarget Corporation data engineer job openings
A live read on what they are hiring: open roles, recent postings, where, and at what level.
Architect and build scalable, high-performance data pipelines and distributed data processing solutions using Spark, Scala/Java and cloud platforms (AWS, GCP, or Azure)
Build and optimize ETL/ELT processes to ingest, transform, and deliver data from various internal and external sources
Practice for the Target Corporation loop
Round by round, the problems our model predicts for this company's interview. Rehearse the shapes their panels keep returning to.
Preparing for the Target Corporation loop
The round-by-round process, example questions, and prep plan are on the interview guide.
Compare Target Corporation with other data engineering employers
How the role, pay, and loop stack up against peer companies.
Prepare at Target Corporation 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