Afresh tech stack

Afresh builds mostly with Python, SQL, LookML, TypeScript. Its stack also includes Databricks, Snowflake, Spark, BigQuery. Python is named in 8 of the 19 job postings Afresh published in the last 12 months (42%). Counted by Alion from the job postings of Afresh, updated Oct 10, 2026.

Source: Alion Coverage: the company's job postings of the last 12 months Oct 10, 2026
Technologies in use
43
Postings analysed
19
Open now
7
Modernity
86 /100

What programming languages does Afresh use?

Python is named in 42% of job postings at Afresh, followed by SQL (37%), LookML (5%), TypeScript (5%).

Python 8 42% required in 50% · since Jun 2026
SQL 7 37% required in 100% · 3 open now · since Jun 2026
LookML 1 5% required in 100% · 1 open now · since Sep 2026
TypeScript 1 5% optional · 1 open now · since Sep 2026

What frameworks and libraries does Afresh use?

LangChain is named in 21% of job postings at Afresh, followed by LangGraph (21%), NumPy (21%), pgvector (21%).

LangChain 4 21% required in 50% · 2 open now · since Jul 2026
LangGraph 4 21% optional · 2 open now · since Jul 2026
NumPy 4 21% optional · since Jun 2026
pgvector 4 21% optional · 2 open now · since Jul 2026
Dagster 1 5% required in 100% · 1 open now · since Sep 2026

What databases does Afresh use?

Snowflake is named in 32% of job postings at Afresh, followed by BigQuery (21%), Google BigQuery (21%), PostgreSQL (21%).

Snowflake 6 32% required in 100% · 4 open now · since Jun 2026
BigQuery 4 21% required in 100% · 4 open now · since Jul 2026
Google BigQuery 4 21% required in 100% · 4 open now · since Jul 2026
PostgreSQL 4 21% required in 50% · 2 open now · since Jul 2026
Pinecone 4 21% optional · 2 open now · since Jul 2026
Weaviate 4 21% optional · 2 open now · since Jul 2026
Delta Lake 2 11% optional · since Jul 2026

What cloud and platforms does Afresh use?

Databricks is named in 42% of job postings at Afresh, followed by Spark (21%), MLFlow (11%), GitHub (11%).

Databricks 8 42% required in 100% · 4 open now · since Jun 2026
Spark 4 21% required in 75% · since Jun 2026
MLFlow 2 11% required in 100% · since Jul 2026
GitHub 2 11% optional · since Jul 2026
Figma 1 5% required in 100% · since Sep 2026
Framer 1 5% required in 100% · since Sep 2026
Looker 1 5% required in 100% · since Jul 2026
Replit 1 5% required in 100% · since Jul 2026
Show all (9)
Azure1

What developer tools does Afresh use?

dbt is named in 26% of job postings at Afresh, followed by pySpark (21%), Model Context Protocol (21%).

dbt 5 26% required in 60% · 1 open now · since Jun 2026
pySpark 4 21% required in 50% · since Jun 2026
Model Context Protocol 4 21% optional · 2 open now · since Jul 2026

What AI and ML technologies does Afresh use?

LLM is named in 26% of job postings at Afresh, followed by Claude (16%), Midjourney (5%).

LLM 5 26% required in 100% · 3 open now · since Jul 2026
Claude 3 16% required in 33% · since Jul 2026
Midjourney 1 5% required in 100% · since Sep 2026

Which engineering practices does Afresh ask for?

AI Agents is named in 42% of job postings at Afresh, followed by Machine Learning (37%), Tool Use (26%), Agentic Workflows (26%).

AI Agents 8 42% required in 75% · 5 open now · since Jul 2026
Machine Learning 7 37% required in 100% · since Jun 2026
Tool Use 5 26% required in 100% · 3 open now · since Jul 2026
Agentic Workflows 5 26% required in 80% · 4 open now · since Jul 2026
Knowledge Graph 5 26% required in 80% · 3 open now · since Jul 2026
Hallucination 4 21% required in 100% · 2 open now · since Jul 2026
RAG 4 21% required in 100% · 2 open now · since Jul 2026
Hybrid Search 4 21% optional · 2 open now · since Jul 2026
Show all (12)
Context Engineering2
LLM Guardrails2
Dimensional Modeling1
Function Calling1

What does each Afresh team work with?

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

Solutions

4 postings
BigQuery3
Databricks3
Google BigQuery3
LLM3
Snowflake3
SQL2

Data Science

3 postings
Databricks3
SQL3
Snowflake3
dbt3
Python2
pySpark2

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How much does Afresh pay by technology?

Median stated pay of the postings that name each technology, against the median of all Afresh postings with stated pay: $234k across 17 postings.

TechnologyPostings with payMedianvs company median
Databricks7$253k+8%
Python6$253k+8%
SQL6$235k0%
LLM5$253k+8%
Snowflake5$253k+8%

How modern is the Afresh stack?

Cutting-edge AI adopter 86/100

Afresh scores 86 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 Afresh stack in its industry?

Share of the 213 companies in the same industries, whose stack Alion knows, that use each technology.

Databricks16%
Python73%
SQL59%
Snowflake16%
LLM41%
BigQuery11%
Google BigQuery14%
LangChain15%
LangGraph11%
NumPy12%

What sets Afresh apart

Weaviate4%
pgvector3%

Questions about the Afresh tech stack

What programming languages does Afresh use?

The languages named in Afresh job postings are Python (42%), SQL (37%), LookML (5%), TypeScript (5%), as a share of the 19 postings of the last 12 months.

Does Afresh use LangChain?

Yes. LangChain is named in 4 of 19 job postings (21%) and required in 2 of them.

What cloud and platforms does Afresh use?

The cloud and platforms named in Afresh job postings are Databricks (8), Spark (4), MLFlow (2) (postings in brackets).

What skills do you need for a Solutions job at Afresh?

Solutions postings at Afresh most often require BigQuery (3), Databricks (3), Google BigQuery (3), LLM (3), out of 4 postings in the last 12 months.

Is the Afresh tech stack changing?

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

How modern is the Afresh tech stack?

Afresh scores 86 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 Afresh tech stack?

Alion reads every job posting Afresh publishes and tags the technologies each one names. The figures on this page count the 19 postings of the last 12 months and were updated on Oct 10, 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, "Afresh tech stack: 43 technologies from 19 job postings", as of Oct 10, 2026. https://alion.io/company/afresh/technologies

Licence: CC BY-SA 4.0JSON