Acryl Data tech stack
Acryl Data builds mostly with Python, Java, C#, Go. Its stack also includes Kubernetes, AWS, BigQuery, Google BigQuery. Python is named in 5 of the 10 job postings Acryl Data published in the last 12 months (50%). Counted by Alion from the job postings of Acryl Data, updated Oct 11, 2026.
What programming languages does Acryl Data use?
Python is named in 50% of job postings at Acryl Data, followed by Java (40%), C# (10%), Go (10%).
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What databases does Acryl Data use?
BigQuery is named in 20% of job postings at Acryl Data, followed by Google BigQuery (20%), Amazon Redshift (10%), Snowflake (10%).
What cloud and platforms does Acryl Data use?
Kubernetes is named in 50% of job postings at Acryl Data, followed by AWS (40%), Azure (30%), GCP (30%).
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What developer tools does Acryl Data use?
Docker is named in 50% of job postings at Acryl Data, followed by dbt (30%), CloudFormation (20%), Prometheus (20%).
What AI and ML technologies does Acryl Data use?
LLM is named in 10% of job postings at Acryl Data.
Which engineering practices does Acryl Data ask for?
CI/CD is named in 60% of job postings at Acryl Data, followed by ETL/ELT (30%), AI Agents (20%), Embeddings (20%).
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What does each Acryl Data team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Backend
3 postingsHow does your stack fit Acryl Data?
How is the Acryl Data 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 Acryl Data stack?
Acryl Data scores 76 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: 1; legacy ones: 0.
How common is the Acryl Data stack in its industry?
Share of the 28 companies in the same industries, whose stack Alion knows, that use each technology.
Companies with a stack like Acryl Data
Questions about the Acryl Data tech stack
What programming languages does Acryl Data use?
The languages named in Acryl Data job postings are Python (50%), Java (40%), C# (10%), Go (10%), Kotlin (10%), as a share of the 10 postings of the last 12 months.
Does Acryl Data use Kubernetes?
Yes. Kubernetes is named in 5 of 10 job postings (50%) and required in 2 of them.
What cloud and platforms does Acryl Data use?
The cloud and platforms named in Acryl Data job postings are Kubernetes (5), AWS (4), Azure (3) (postings in brackets).
What skills do you need for a Backend job at Acryl Data?
Backend postings at Acryl Data most often require Java (3), Python (2), out of 3 postings in the last 12 months.
Is the Acryl Data tech stack changing?
Yes. AI Agents, BigQuery, Google BigQuery first appeared in Acryl Data job postings in the last six months.
How modern is the Acryl Data tech stack?
Acryl Data scores 76 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: 1; legacy ones: 0.
How does Alion know the Acryl Data tech stack?
Alion reads every job posting Acryl Data publishes and tags the technologies each one names. The figures on this page count the 10 postings of the last 12 months and were updated on Oct 11, 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, "Acryl Data tech stack: 48 technologies from 10 job postings", as of Oct 11, 2026. https://alion.io/company/acryldata/technologies
