Cyber, Data Analytics & Engineering Services tech stack
Cyber, Data Analytics & Engineering Services builds mostly with Python, JavaScript, Java, C++. Its stack also includes Linux, AWS, ElasticSearch, PostgreSQL. Python is named in 14 of the 24 job postings Cyber, Data Analytics & Engineering Services published in the last 12 months (58%). Counted by Alion from the job postings of Cyber, Data Analytics & Engineering Services, updated Sep 26, 2026.
What programming languages does Cyber, Data Analytics & Engineering Services use?
Python is named in 58% of job postings at Cyber, Data Analytics & Engineering Services, followed by JavaScript (46%), Java (29%), C++ (25%).
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What frameworks and libraries does Cyber, Data Analytics & Engineering Services use?
React.js is named in 13% of job postings at Cyber, Data Analytics & Engineering Services, followed by Hadoop (8%), Selenium (8%), Angular (4%).
Show all (17)
What databases does Cyber, Data Analytics & Engineering Services use?
ElasticSearch is named in 21% of job postings at Cyber, Data Analytics & Engineering Services, followed by PostgreSQL (13%), Neo4j (8%), Oracle (8%).
Show all (13)
What cloud and platforms does Cyber, Data Analytics & Engineering Services use?
Linux is named in 42% of job postings at Cyber, Data Analytics & Engineering Services, followed by AWS (29%), Kubernetes (21%), Spark (17%).
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What developer tools does Cyber, Data Analytics & Engineering Services use?
Docker is named in 17% of job postings at Cyber, Data Analytics & Engineering Services, followed by Ansible (13%), Apache NiFi (13%), Git (13%).
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What AI and ML technologies does Cyber, Data Analytics & Engineering Services use?
LLM is named in 13% of job postings at Cyber, Data Analytics & Engineering Services.
Which engineering practices does Cyber, Data Analytics & Engineering Services ask for?
CI/CD is named in 21% of job postings at Cyber, Data Analytics & Engineering Services, followed by PKI (17%), RAG (13%), ETL/ELT (8%).
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What does each Cyber, Data Analytics & Engineering Services team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Backend
9 postingsDevOps
5 postingsAI/ML
3 postingsHow does your stack fit Cyber, Data Analytics & Engineering Services?
How much does Cyber, Data Analytics & Engineering Services pay by technology?
Median stated pay of the postings that name each technology, against the median of all Cyber, Data Analytics & Engineering Services postings with stated pay: $210k across 24 postings.
| Technology | Postings with pay | Median | vs company median |
|---|---|---|---|
| Python | 14 | $225k | +7% |
| JavaScript | 11 | $210k | 0% |
| Linux | 10 | $220k | +5% |
| AWS | 7 | $200k | −5% |
| Java | 7 | $200k | −5% |
| C++ | 6 | $238k | +13% |
| Kubernetes | 5 | $250k | +19% |
| SQL | 5 | $210k | 0% |
| ElasticSearch | 5 | $200k | −5% |
How is the Cyber, Data Analytics & Engineering Services 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 Cyber, Data Analytics & Engineering Services stack?
Cyber, Data Analytics & Engineering Services scores 74 out of 100 (Modern). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 1; legacy ones: 0.
How common is the Cyber, Data Analytics & Engineering Services stack in its industry?
Share of the 1,479 companies in the same industries, whose stack Alion knows, that use each technology.
Companies with a stack like Cyber, Data Analytics & Engineering Services
Questions about the Cyber, Data Analytics & Engineering Services tech stack
What programming languages does Cyber, Data Analytics & Engineering Services use?
The languages named in Cyber, Data Analytics & Engineering Services job postings are Python (58%), JavaScript (46%), Java (29%), C++ (25%), SQL (21%), as a share of the 24 postings of the last 12 months.
Does Cyber, Data Analytics & Engineering Services use React.js?
Yes. React.js is named in 3 of 24 job postings (13%) and required in 3 of them.
What cloud and platforms does Cyber, Data Analytics & Engineering Services use?
The cloud and platforms named in Cyber, Data Analytics & Engineering Services job postings are Linux (10), AWS (7), Kubernetes (5) (postings in brackets).
What skills do you need for a Backend job at Cyber, Data Analytics & Engineering Services?
Backend postings at Cyber, Data Analytics & Engineering Services most often require Python (8), JavaScript (6), C++ (5), ElasticSearch (5), out of 9 postings in the last 12 months.
Is the Cyber, Data Analytics & Engineering Services tech stack changing?
Yes. Nessus, Windows Server, Splunk, Unix first appeared in Cyber, Data Analytics & Engineering Services job postings in the last six months.
How modern is the Cyber, Data Analytics & Engineering Services tech stack?
Cyber, Data Analytics & Engineering Services scores 74 out of 100 (Modern). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 1; legacy ones: 0.
How does Alion know the Cyber, Data Analytics & Engineering Services tech stack?
Alion reads every job posting Cyber, Data Analytics & Engineering Services publishes and tags the technologies each one names. The figures on this page count the 24 postings of the last 12 months and were updated on Sep 26, 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, "Cyber, Data Analytics & Engineering Services tech stack: 124 technologies from 24 job postings", as of Sep 26, 2026. https://alion.io/company/cti-md/technologies
