Target tech stack
Target builds mostly with Python, Java, SQL, Kotlin. Its stack also includes Adjust, GCP, PostgreSQL, Spring Boot. Python is named in 123 of the 493 job postings Target published in the last 12 months (25%). Counted by Alion from the job postings of Target, updated Nov 12, 2026.
What programming languages does Target use?
Python is named in 25% of job postings at Target, followed by Java (18%), SQL (17%), Kotlin (14%).
Python
123 25%
Java
90 18%
SQL
84 17%
Kotlin
67 14%
JavaScript
38 8%
Go
33 7%
TypeScript
29 6%
Scala
11 2%
Show all (20)
What frameworks and libraries does Target use?
Spring Boot is named in 9% of job postings at Target, followed by Micronaut (5%), React.js (4%), Hadoop (4%).
Spring Boot
46 9%
Micronaut
26 5%
React.js
20 4%
Hadoop
18 4%
LangChain
14 3%
JUnit
13 3%
OpenTelemetry
12 2%
PyTorch
12 2%
Show all (56)
And 16 more, each named in fewer postings.
What databases does Target use?
PostgreSQL is named in 10% of job postings at Target, followed by ElasticSearch (5%), Cassandra (4%), Redis (4%).
PostgreSQL
50 10%
ElasticSearch
24 5%
Cassandra
21 4%
Redis
20 4%
Google BigQuery
18 4%
InfluxDB
9 2%
RocksDB
7 1%
Snowflake
7 1%
Show all (16)
What cloud and platforms does Target use?
Adjust is named in 16% of job postings at Target, followed by GCP (14%), Apache Kafka (13%), Kubernetes (13%).
Adjust
81 16%
GCP
70 14%
Apache Kafka
66 13%
Kubernetes
63 13%
AWS
40 8%
Azure
39 8%
Spark
30 6%
Power BI
29 6%
Show all (54)
And 14 more, each named in fewer postings.
What developer tools does Target use?
Docker is named in 10% of job postings at Target, followed by Rest API (7%), Microsoft Excel (6%), Git (5%).
Docker
48 10%
Rest API
35 7%
Git
23 5%
Adobe Photoshop
20 4%
Terraform
15 3%
Model Context Protocol
14 3%
GraphQL
12 2%
Show all (50)
And 10 more, each named in fewer postings.
What AI and ML technologies does Target use?
LLM is named in 9% of job postings at Target, followed by ChatGPT (2%), Claude (1%), Gemini (1%).
Which engineering practices does Target ask for?
CI/CD is named in 21% of job postings at Target, followed by ETL/ELT (20%), AI Agents (14%), Machine Learning (11%).
CI/CD
105 21%
AI Agents
70 14%
RAG
39 8%
Platform Engineering
36 7%
Incident Management
25 5%
Prompt Engineering
21 4%
Show all (60)
And 20 more, each named in fewer postings.
What other technologies does Target use?
Kotlin Coroutines is named in <1% of job postings at Target, followed by Swift Concurrency (<1%).
Kotlin Coroutines
1 <1%
Swift Concurrency
1 <1%
What does each Target team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Industrial Engineering
51 postingsBackend
48 postingsAnalytics
27 postingsHow does your stack fit Target?
How much does Target pay by technology?
Median stated pay of the postings that name each technology, against the median of all Target postings with stated pay: $105k across 354 postings.
| Technology | Postings with pay | Median | vs company median |
|---|---|---|---|
| Adjust | 81 | $40k | −62% |
| Python | 68 | $209k | +99% |
| Java | 48 | $176k | +68% |
| SQL | 40 | $176k | +68% |
| Kotlin | 38 | $176k | +68% |
| Apache Kafka | 36 | $176k | +68% |
| Kubernetes | 30 | $238k | +128% |
| PostgreSQL | 29 | $176k | +68% |
| GCP | 28 | $238k | +128% |
| JavaScript | 23 | $176k | +68% |
How is the Target stack changing?
Read from the dates of the postings themselves: a technology is new when the first posting that names it appeared in the last six months, rising or falling when its share of postings moved between the last two quarters.
How modern is the Target stack?
Target scores 82 out of 100 (Cutting-edge). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 5; legacy ones: 0.
How common is the Target stack in its industry?
Share of the 1,090 companies in the same industries, whose stack Alion knows, that use each technology.
What sets Target apart
Companies with a stack like Target
Deutsche Telekom Digital Labs
164 shared technologies
TD Bank Group
195 shared technologies
TransUnion
175 shared technologies
Wells Fargo
183 shared technologies
Walt Disney Company
187 shared technologies
The Walt Disney Company
178 shared technologies
American Express
188 shared technologies
HSBC
173 shared technologies
Questions about the Target tech stack
What programming languages does Target use?
The languages named in Target job postings are Python (25%), Java (18%), SQL (17%), Kotlin (14%), JavaScript (8%), as a share of the 493 postings of the last 12 months.
Does Target use Spring Boot?
Yes. Spring Boot is named in 46 of 493 job postings (9%) and required in 42 of them.
What cloud and platforms does Target use?
The cloud and platforms named in Target job postings are Adjust (81), GCP (70), Apache Kafka (66) (postings in brackets).
What skills do you need for a Industrial Engineering job at Target?
Industrial Engineering postings at Target most often require Java (19), Python (19), Kubernetes (15), Apache Kafka (14), out of 51 postings in the last 12 months.
Is the Target tech stack changing?
Yes. Mockito, SwiftUI, UIKit, Swift first appeared in Target job postings in the last six months.
How modern is the Target tech stack?
Target scores 82 out of 100 (Cutting-edge). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 5; legacy ones: 0.
How does Alion know the Target tech stack?
Alion reads every job posting Target publishes and tags the technologies each one names. The figures on this page count the 493 postings of the last 12 months and were updated on Nov 12, 2026.
Method and citation
Alion reads every job posting the company publishes and tags the technologies each one names. Shares count the postings of the last 12 months, open and closed; the company's own products are counted apart. How we count
Alion, "Target tech stack: 263 technologies from 493 job postings", as of Nov 12, 2026. https://alion.io/company/target/technologies