S&P Global tech stack
S&P Global builds mostly with Python, SQL, Java, JavaScript. Its stack also includes AWS, Azure, PostgreSQL, LangChain. Python is named in 133 of the 287 job postings S&P Global published in the last 12 months (46%). Counted by Alion from the job postings of S&P Global, updated Sep 29, 2026.
What programming languages does S&P Global use?
Python is named in 46% of job postings at S&P Global, followed by SQL (43%), Java (13%), JavaScript (11%).
Python
133 46%
SQL
122 43%
Java
36 13%
JavaScript
33 11%
TypeScript
21 7%
C#
12 4%
Scala
10 3%
Node JS
7 2%
Show all (22)
What frameworks and libraries does S&P Global use?
LangChain is named in 8% of job postings at S&P Global, followed by PyTorch (6%), React.js (6%), Pandas (5%).
LangChain
24 8%
PyTorch
16 6%
React.js
16 6%
Pandas
14 5%
Spring Boot
13 5%
FastAPI
13 5%
Angular
13 5%
Scikit-learn
12 4%
Show all (73)
And 33 more, each named in fewer postings.
What databases does S&P Global use?
PostgreSQL is named in 13% of job postings at S&P Global, followed by Snowflake (7%), OpenSearch (5%), Oracle (4%).
PostgreSQL
38 13%
Snowflake
20 7%
OpenSearch
14 5%
Oracle
11 4%
Redis
11 4%
DynamoDB
9 3%
Apache Iceberg
8 3%
Google BigQuery
8 3%
Show all (29)
What cloud and platforms does S&P Global use?
AWS is named in 36% of job postings at S&P Global, followed by Azure (27%), GCP (22%), Power BI (15%).
AWS
104 36%
Azure
78 27%
GCP
62 22%
Power BI
42 15%
Kubernetes
40 14%
GitHub
35 12%
Databricks
33 11%
Show all (94)
And 54 more, each named in fewer postings.
What developer tools does S&P Global use?
Docker is named in 12% of job postings at S&P Global, followed by Jenkins (12%), Git (11%), Terraform (11%).
Docker
34 12%
Jenkins
34 12%
Git
33 11%
Terraform
32 11%
Copilot
19 7%
Rest API
15 5%
Prometheus
15 5%
Show all (85)
And 45 more, each named in fewer postings.
What AI and ML technologies does S&P Global use?
LLM is named in 15% of job postings at S&P Global, followed by Claude (5%), Gemini (2%), ChatGPT (2%).
Which engineering practices does S&P Global ask for?
CI/CD is named in 28% of job postings at S&P Global, followed by AI Agents (23%), Machine Learning (20%), ETL/ELT (8%).
CI/CD
80 28%
AI Agents
66 23%
NLP
17 6%
RAG
17 6%
Show all (64)
And 24 more, each named in fewer postings.
What does each S&P Global team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Backend
39 postingsAnalytics
35 postingsLeadership
34 postingsProduct
29 postingsData Science
21 postingsFinance
20 postingsHow does your stack fit S&P Global?
How much does S&P Global pay by technology?
Median stated pay of the postings that name each technology, against the median of all S&P Global postings with stated pay: $174k across 83 postings.
| Technology | Postings with pay | Median | vs company median |
|---|---|---|---|
| SQL | 29 | $150k | −14% |
| AWS | 26 | $200k | +15% |
| Azure | 23 | $200k | +15% |
| Python | 22 | $164k | −6% |
| GCP | 14 | $200k | +15% |
| LLM | 12 | $263k | +51% |
| Java | 11 | $155k | −11% |
| Power BI | 10 | $164k | −6% |
| Kubernetes | 8 | $218k | +25% |
| JavaScript | 7 | $200k | +15% |
How is the S&P Global 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 S&P Global stack?
S&P Global scores 78 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: 6; legacy ones: 0.
How common is the S&P Global stack in its industry?
Share of the 113 companies in the same industries, whose stack Alion knows, that use each technology.
Companies with a stack like S&P Global
Questions about the S&P Global tech stack
What programming languages does S&P Global use?
The languages named in S&P Global job postings are Python (46%), SQL (43%), Java (13%), JavaScript (11%), TypeScript (7%), as a share of the 287 postings of the last 12 months.
Does S&P Global use LangChain?
Yes. LangChain is named in 24 of 287 job postings (8%) and required in 14 of them.
What cloud and platforms does S&P Global use?
The cloud and platforms named in S&P Global job postings are AWS (104), Azure (78), GCP (62) (postings in brackets).
What skills do you need for a Backend job at S&P Global?
Backend postings at S&P Global most often require AWS (25), SQL (22), Java (17), PostgreSQL (14), out of 39 postings in the last 12 months.
Is the S&P Global tech stack changing?
Yes. Microsoft Fabric, Seaborn, Structured Outputs, Copilot Studio first appeared in S&P Global job postings in the last six months.
How modern is the S&P Global tech stack?
S&P Global scores 78 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: 6; legacy ones: 0.
How does Alion know the S&P Global tech stack?
Alion reads every job posting S&P Global publishes and tags the technologies each one names. The figures on this page count the 287 postings of the last 12 months and were updated on Sep 29, 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, "S&P Global tech stack: 373 technologies from 287 job postings", as of Sep 29, 2026. https://alion.io/company/spglobal/technologies