FactSet tech stack
FactSet builds mostly with Python, SQL, JavaScript, Java. Its stack also includes AWS, Kubernetes, MS SQL, PostgreSQL. Python is named in 37 of the 59 job postings FactSet published in the last 12 months (63%). Counted by Alion from the job postings of FactSet, updated Oct 12, 2026.
What programming languages does FactSet use?
Python is named in 63% of job postings at FactSet, followed by SQL (25%), JavaScript (19%), Java (17%).
Python
37 63%
SQL
15 25%
JavaScript
11 19%
Java
10 17%
Node JS
5 8%
C#
5 8%
C++
5 8%
TypeScript
5 8%
Show all (13)
What frameworks and libraries does FactSet use?
Pandas is named in 12% of job postings at FactSet, followed by NumPy (10%), FastAPI (8%), Transformers (7%).
Pandas
7 12%
NumPy
6 10%
FastAPI
5 8%
Transformers
4 7%
Vue.js
4 7%
Flask
4 7%
OpenTelemetry
4 7%
Django
3 5%
Show all (32)
What databases does FactSet use?
MS SQL is named in 14% of job postings at FactSet, followed by PostgreSQL (12%), Snowflake (10%), MySQL (10%).
MS SQL
8 14%
PostgreSQL
7 12%
Snowflake
6 10%
MySQL
6 10%
Delta Lake
5 8%
Amazon Redshift
4 7%
ElasticSearch
3 5%
DynamoDB
3 5%
Show all (19)
What cloud and platforms does FactSet use?
AWS is named in 53% of job postings at FactSet, followed by Kubernetes (27%), Azure (22%), GCP (22%).
AWS
31 53%
Kubernetes
16 27%
Azure
13 22%
GCP
13 22%
GitHub Actions
12 20%
AWS Lambda
9 15%
Show all (48)
And 8 more, each named in fewer postings.
What developer tools does FactSet use?
Terraform is named in 31% of job postings at FactSet, followed by Ansible (19%), Docker (17%), Model Context Protocol (12%).
Terraform
18 31%
Ansible
11 19%
Docker
10 17%
Model Context Protocol
7 12%
Jenkins
6 10%
Helm
5 8%
ArgoCD
5 8%
Prometheus
5 8%
Show all (40)
What AI and ML technologies does FactSet use?
LLM is named in 12% of job postings at FactSet, followed by Llama (5%), ChatGPT (3%), Mistral (3%).
Which engineering practices does FactSet ask for?
CI/CD is named in 27% of job postings at FactSet, followed by Platform Engineering (14%), NLP (12%), ETL/ELT (8%).
CI/CD
16 27%
Platform Engineering
8 14%
NLP
7 12%
RAG
5 8%
Prompt Engineering
4 7%
AI Agents
4 7%
Show all (36)
What does each FactSet team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Backend
24 postingsDevOps
11 postingsData Science
4 postingsAI/ML
3 postingsHow does your stack fit FactSet?
How much does FactSet pay by technology?
Median stated pay of the postings that name each technology, against the median of all FactSet postings with stated pay: $165k across 14 postings.
| Technology | Postings with pay | Median | vs company median |
|---|---|---|---|
| Python | 7 | $130k | −21% |
| SQL | 5 | $120k | −27% |
How is the FactSet 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 FactSet stack?
FactSet scores 81 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 FactSet stack in its industry?
Share of the 289 companies in the same industries, whose stack Alion knows, that use each technology.
What sets FactSet apart
Companies with a stack like FactSet
Questions about the FactSet tech stack
What programming languages does FactSet use?
The languages named in FactSet job postings are Python (63%), SQL (25%), JavaScript (19%), Java (17%), Node JS (8%), as a share of the 59 postings of the last 12 months.
Does FactSet use Pandas?
Yes. Pandas is named in 7 of 59 job postings (12%) and required in 6 of them.
What cloud and platforms does FactSet use?
The cloud and platforms named in FactSet job postings are AWS (31), Kubernetes (16), Azure (13) (postings in brackets).
What skills do you need for a Backend job at FactSet?
Backend postings at FactSet most often require Python (14), AWS (10), Java (7), GitHub Actions (6), out of 24 postings in the last 12 months.
Is the FactSet tech stack changing?
Yes. OpenSearch, PyTorch, TensorFlow, PostgreSQL first appeared in FactSet job postings in the last six months.
How modern is the FactSet tech stack?
FactSet scores 81 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 FactSet tech stack?
Alion reads every job posting FactSet publishes and tags the technologies each one names. The figures on this page count the 59 postings of the last 12 months and were updated on Oct 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, "FactSet tech stack: 194 technologies from 59 job postings", as of Oct 12, 2026. https://alion.io/company/factset/technologies