Jellyfish tech stack
Jellyfish builds mostly with Python, SQL, Apex, JavaScript. Its stack also includes Databricks, Prefect, Delta Lake, Dagster. Python is named in 9 of the 13 job postings Jellyfish published in the last 12 months (69%). Counted by Alion from the job postings of Jellyfish, updated Oct 6, 2026.
What programming languages does Jellyfish use?
Python is named in 69% of job postings at Jellyfish, followed by SQL (46%), Apex (8%), JavaScript (8%).
What frameworks and libraries does Jellyfish use?
Dagster is named in 38% of job postings at Jellyfish, followed by Pydantic (23%), Django (8%), Lightning Web Components (8%).
What databases does Jellyfish use?
Delta Lake is named in 38% of job postings at Jellyfish, followed by Google BigQuery (31%), Snowflake (31%), Redis (15%).
Delta Lake
5 38%
Google BigQuery
4 31%
Snowflake
4 31%
Redis
2 15%
PostgreSQL
2 15%
ClickHouse
1 8%
Amazon Aurora
1 8%
BigQuery
1 8%
What cloud and platforms does Jellyfish use?
Databricks is named in 62% of job postings at Jellyfish, followed by Prefect (38%), AWS (31%), GitHub (15%).
Databricks
8 62%
Prefect
5 38%
AWS
4 31%
GitHub
2 15%
GitLab
2 15%
Datadog
1 8%
Grafana
1 8%
Honeycomb
1 8%
Show all (10)
What developer tools does Jellyfish use?
Terraform is named in 54% of job postings at Jellyfish, followed by dbt (23%), CloudFormation (15%), Copilot (15%).
Terraform
7 54%
dbt
3 23%
CloudFormation
2 15%
Copilot
2 15%
Great Expectations
2 15%
pySpark
1 8%
Git
1 8%
What AI and ML technologies does Jellyfish use?
LLM is named in 38% of job postings at Jellyfish, followed by Claude (15%), Gemini (8%).
Which engineering practices does Jellyfish ask for?
CI/CD is named in 38% of job postings at Jellyfish, followed by AI Agents (23%), Dimensional Modeling (15%), Agentic Workflows (8%).
CI/CD
5 38%
AI Agents
3 23%
FinOps
1 8%
Incident Management
1 8%
Show all (11)
What does each Jellyfish team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Data Science
5 postingsBackend
4 postingsHow does your stack fit Jellyfish?
How much does Jellyfish pay by technology?
Median stated pay of the postings that name each technology, against the median of all Jellyfish postings with stated pay: $235k across 13 postings.
| Technology | Postings with pay | Median | vs company median |
|---|---|---|---|
| Python | 9 | $235k | 0% |
| Databricks | 8 | $235k | 0% |
| SQL | 6 | $233k | −1% |
| Dagster | 5 | $240k | +2% |
| LLM | 5 | $240k | +2% |
| Prefect | 5 | $240k | +2% |
| Delta Lake | 5 | $235k | 0% |
How is the Jellyfish 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 Jellyfish stack?
Jellyfish scores 88 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: 3; legacy ones: 0.
How common is the Jellyfish stack in its industry?
Share of the 134 companies in the same industries, whose stack Alion knows, that use each technology.
What sets Jellyfish apart
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 Python (69%), SQL (46%), Apex (8%), JavaScript (8%), TypeScript (8%), as a share of the 13 postings of the last 12 months.
Does Jellyfish use Dagster?
Yes. Dagster is named in 5 of 13 job postings (38%) and required in 5 of them.
What cloud and platforms does Jellyfish use?
The cloud and platforms named in Jellyfish job postings are Databricks (8), Prefect (5), AWS (4) (postings in brackets).
What skills do you need for a Data Science job at Jellyfish?
Data Science postings at Jellyfish most often require Dagster (4), Databricks (4), Prefect (4), Python (4), out of 5 postings in the last 12 months.
Is the Jellyfish tech stack changing?
Yes. Dimensional Modeling, PostgreSQL, SQL, Google BigQuery first appeared in Jellyfish job postings in the last six months.
How modern is the Jellyfish tech stack?
Jellyfish scores 88 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: 3; 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 13 postings of the last 12 months and were updated on Oct 6, 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: 50 technologies from 13 job postings", as of Oct 6, 2026. https://alion.io/company/jellyfish/technologies