Jupiter Intelligence tech stack

Jupiter Intelligence builds mostly with Python, SQL. Its stack also includes AWS, Amazon S3, PostgreSQL, Snowflake. Python is named in 4 of the 4 job postings Jupiter Intelligence published in the last 12 months (100%). Counted by Alion from the job postings of Jupiter Intelligence, updated Sep 29, 2026.

Source: Alion Coverage: the company's job postings of the last 12 months Sep 29, 2026
Technologies in use
19
Postings analysed
4
Open now
1
Modernity
72 /100

What programming languages does Jupiter Intelligence use?

Python is named in 100% of job postings at Jupiter Intelligence, followed by SQL (50%).

Python 4 100% required in 100% · 1 open now · since Jul 2026
SQL 2 50% required in 100% · since Sep 2026

What frameworks and libraries does Jupiter Intelligence use?

Pydantic is named in 50% of job postings at Jupiter Intelligence, followed by Pytest (50%), Polars (25%).

Pydantic 2 50% optional · since Sep 2026
Pytest 2 50% optional · since Sep 2026
Polars 1 25% required in 100% · 1 open now · since Sep 2026

What databases does Jupiter Intelligence use?

PostgreSQL is named in 50% of job postings at Jupiter Intelligence, followed by Snowflake (50%).

PostgreSQL 2 50% optional · since Sep 2026
Snowflake 2 50% optional · since Sep 2026

What cloud and platforms does Jupiter Intelligence use?

AWS is named in 75% of job postings at Jupiter Intelligence, followed by Amazon S3 (50%), Prefect (50%), Azure (25%).

AWS 3 75% required in 100% · 1 open now · since Sep 2026
Amazon S3 2 50% required in 100% · since Sep 2026
Prefect 2 50% required in 100% · since Sep 2026
Azure 1 25% required in 100% · 1 open now · since Sep 2026
GCP 1 25% required in 100% · 1 open now · since Sep 2026
Tableau 1 25% required in 100% · since Jul 2026

What developer tools does Jupiter Intelligence use?

Docker is named in 75% of job postings at Jupiter Intelligence, followed by Git (50%), QGIS (25%).

Docker 3 75% required in 100% · 1 open now · since Sep 2026
Git 2 50% required in 100% · since Sep 2026
QGIS 1 25% required in 100% · since Jul 2026

Which engineering practices does Jupiter Intelligence ask for?

ETL/ELT is named in 50% of job postings at Jupiter Intelligence, followed by Machine Learning (25%), Time Series Forecasting (25%).

ETL/ELT 2 50% required in 100% · since Sep 2026
Machine Learning 1 25% required in 100% · 1 open now · since Sep 2026
Time Series Forecasting 1 25% required in 100% · 1 open now · since Sep 2026

What does each Jupiter Intelligence team work with?

The technologies each team's postings require most often, with the number of postings that require them.

Data Science

3 postings
AWS3
Docker3
Python3
Amazon S32
Git2
Prefect2

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How modern is the Jupiter Intelligence stack?

Modern 72/100

Jupiter Intelligence scores 72 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: 0; legacy ones: 0.

How common is the Jupiter Intelligence stack in its industry?

Share of the 127 companies in the same industries, whose stack Alion knows, that use each technology.

Python48%
AWS24%
Amazon S39%
PostgreSQL24%
Prefect2%
Pydantic2%
Pytest6%
SQL32%
Snowflake7%
Azure22%

Questions about the Jupiter Intelligence tech stack

What programming languages does Jupiter Intelligence use?

The languages named in Jupiter Intelligence job postings are Python (100%), SQL (50%), as a share of the 4 postings of the last 12 months.

Does Jupiter Intelligence use AWS?

Yes. AWS is named in 3 of 4 job postings (75%) and required in 3 of them.

What cloud and platforms does Jupiter Intelligence use?

The cloud and platforms named in Jupiter Intelligence job postings are AWS (3), Amazon S3 (2), Prefect (2) (postings in brackets).

What skills do you need for a Data Science job at Jupiter Intelligence?

Data Science postings at Jupiter Intelligence most often require AWS (3), Docker (3), Python (3), Amazon S3 (2), out of 3 postings in the last 12 months.

Is the Jupiter Intelligence tech stack changing?

No new technology has appeared in Jupiter Intelligence job postings in the last six months.

How modern is the Jupiter Intelligence tech stack?

Jupiter Intelligence scores 72 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: 0; legacy ones: 0.

How does Alion know the Jupiter Intelligence tech stack?

Alion reads every job posting Jupiter Intelligence publishes and tags the technologies each one names. The figures on this page count the 4 postings of the last 12 months and were updated on Sep 29, 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, "Jupiter Intelligence tech stack: 19 technologies from 4 job postings", as of Sep 29, 2026. https://alion.io/company/jupiter-intelligence/technologies

Licence: CC BY-SA 4.0JSON