Jellyfish tech stack
Jellyfish builds mostly with SQL, Python, JavaScript. Its stack also includes Looker, Tableau, BigQuery, Google BigQuery. SQL is named in 12 of the 30 job postings Jellyfish published in the last 12 months (40%). Counted by Alion from the job postings of Jellyfish, updated Sep 26, 2026.
What programming languages does Jellyfish use?
SQL is named in 40% of job postings at Jellyfish, followed by Python (27%), JavaScript (20%).
What frameworks and libraries does Jellyfish use?
Matplotlib is named in 7% of job postings at Jellyfish.
Matplotlib
2 7%
What databases does Jellyfish use?
BigQuery is named in 13% of job postings at Jellyfish, followed by Google BigQuery (13%).
BigQuery
4 13%
Google BigQuery
4 13%
What cloud and platforms does Jellyfish use?
Looker is named in 33% of job postings at Jellyfish, followed by Tableau (30%), GCP (23%), Figma (17%).
Show all (14)
What developer tools does Jellyfish use?
Adobe Photoshop is named in 17% of job postings at Jellyfish, followed by Adobe After Effects (13%), Microsoft Excel (13%), Adobe Premiere Pro (3%).
Adobe Photoshop
5 17%
Adobe After Effects
4 13%
Adobe Premiere Pro
1 3%
Aider
1 3%
Blender
1 3%
What AI and ML technologies does Jellyfish use?
Gemini is named in 13% of job postings at Jellyfish, followed by ChatGPT (7%), Claude (3%), Midjourney (3%).
Which engineering practices does Jellyfish ask for?
A/B Testing is named in 13% of job postings at Jellyfish, followed by ETL/ELT (13%), AI Agents (10%), Machine Learning (10%).
AI Agents
3 10%
CI/CD
1 3%
Embeddings
1 3%
Show all (9)
What does each Jellyfish team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Marketing
12 postingsAnalytics
6 postingsEducation
3 postingsDesign
3 postingsHow does your stack fit Jellyfish?
How modern is the Jellyfish stack?
Jellyfish scores 87 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: 4; legacy ones: 0.
How common is the Jellyfish stack in its industry?
Share of the 844 companies in the same industries, whose stack Alion knows, that use each technology.
Companies with a stack like Jellyfish
Questions about the Jellyfish tech stack
What programming languages does Jellyfish use?
The languages named in Jellyfish job postings are SQL (40%), Python (27%), JavaScript (20%), as a share of the 30 postings of the last 12 months.
Does Jellyfish use Matplotlib?
Yes. Matplotlib is named in 2 of 30 job postings (7%) and required in 2 of them.
What cloud and platforms does Jellyfish use?
The cloud and platforms named in Jellyfish job postings are Looker (10), Tableau (9), GCP (7) (postings in brackets).
What skills do you need for a Marketing job at Jellyfish?
Marketing postings at Jellyfish most often require JavaScript (3), Looker (3), Microsoft Excel (3), Adobe Photoshop (2), out of 12 postings in the last 12 months.
Is the Jellyfish tech stack changing?
No new technology has appeared in Jellyfish job postings in the last six months.
How modern is the Jellyfish tech stack?
Jellyfish scores 87 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: 4; legacy ones: 0.
How does Alion know the Jellyfish tech stack?
Alion reads every job posting Jellyfish publishes and tags the technologies each one names. The figures on this page count the 30 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, "Jellyfish tech stack: 40 technologies from 30 job postings", as of Sep 26, 2026. https://alion.io/company/jellyfish-3/technologies