Data Intellect tech stack
Data Intellect builds mostly with Python, Java, SQL, C++. Its stack also includes KDB+, AWS, Linux, ClickHouse. Python is named in 25 of the 29 job postings Data Intellect published in the last 12 months (86%). Counted by Alion from the job postings of Data Intellect, updated Sep 30, 2026.
What programming languages does Data Intellect use?
Python is named in 86% of job postings at Data Intellect, followed by Java (17%), SQL (14%), C++ (7%).
C++ 
What frameworks and libraries does Data Intellect use?
FastAPI is named in 3% of job postings at Data Intellect, followed by Flask (3%), Pandas (3%), Pytest (3%).
What databases does Data Intellect use?
KDB+ is named in 72% of job postings at Data Intellect, followed by ClickHouse (7%), PostgreSQL (3%).
What cloud and platforms does Data Intellect use?
AWS is named in 66% of job postings at Data Intellect, followed by Linux (62%), Azure (62%), GCP (62%).
AWS
19 66%
Azure
18 62%
GCP
18 62%
Kubernetes
3 10%
Airflow
1 3%
Docker Swarm
1 3%
Show all (9)
What developer tools does Data Intellect use?
Ansible is named in 7% of job postings at Data Intellect, followed by GraphQL (7%), Rest API (7%), Terraform (7%).
Ansible
2 7%
GraphQL
2 7%
Rest API
2 7%
Terraform
2 7%
Docker
2 7%
Apache Tomcat
1 3%
Claude Code
1 3%
Show all (14)
What AI and ML technologies does Data Intellect use?
Claude is named in 62% of job postings at Data Intellect, followed by LLM (10%).
Which engineering practices does Data Intellect ask for?
Time Series Forecasting is named in 69% of job postings at Data Intellect, followed by AI Agents (10%), CI/CD (7%), RAG (7%).
Time Series Forecasting
20 69%
AI Agents
3 10%
CI/CD
2 7%
RAG
2 7%
Function Calling
1 3%
Incident Management
1 3%
Show all (9)
What does each Data Intellect team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Industrial Engineering
14 postingsFinance
3 postingsHow does your stack fit Data Intellect?
How is the Data Intellect 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 Data Intellect stack?
Data Intellect 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: 2; legacy ones: 0.
How common is the Data Intellect stack in its industry?
Share of the 1,018 companies in the same industries, whose stack Alion knows, that use each technology.
What sets Data Intellect apart
Companies with a stack like Data Intellect
Questions about the Data Intellect tech stack
What programming languages does Data Intellect use?
The languages named in Data Intellect job postings are Python (86%), Java (17%), SQL (14%), C++ (7%), Bash (3%), as a share of the 29 postings of the last 12 months.
Does Data Intellect use AWS?
Yes. AWS is named in 19 of 29 job postings (66%) and required in 2 of them.
What cloud and platforms does Data Intellect use?
The cloud and platforms named in Data Intellect job postings are AWS (19), Linux (18), Azure (18) (postings in brackets).
What skills do you need for a Industrial Engineering job at Data Intellect?
Industrial Engineering postings at Data Intellect most often require KDB+ (14), Linux (14), Unix (14), out of 14 postings in the last 12 months.
Is the Data Intellect tech stack changing?
Yes. Ansible, Terraform, Docker, CI/CD first appeared in Data Intellect job postings in the last six months.
How modern is the Data Intellect tech stack?
Data Intellect 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: 2; legacy ones: 0.
How does Alion know the Data Intellect tech stack?
Alion reads every job posting Data Intellect publishes and tags the technologies each one names. The figures on this page count the 29 postings of the last 12 months and were updated on Sep 30, 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, "Data Intellect tech stack: 48 technologies from 29 job postings", as of Sep 30, 2026. https://alion.io/company/data-intellect/technologies