FinQuery tech stack
FinQuery builds mostly with SQL, C#, Java, Python. Its stack also includes AWS, GitHub Actions, PostgreSQL, Amazon Aurora. SQL is named in 6 of the 8 job postings FinQuery published in the last 12 months (75%). Counted by Alion from the job postings of FinQuery, updated Sep 29, 2026.
What programming languages does FinQuery use?
SQL is named in 75% of job postings at FinQuery, followed by C# (25%), Java (25%), Python (25%).
What frameworks and libraries does FinQuery use?
Angular is named in 13% of job postings at FinQuery, followed by Entity Framework Core (13%), React.js (13%), Vue.js (13%).
What databases does FinQuery use?
PostgreSQL is named in 50% of job postings at FinQuery, followed by Amazon Aurora (25%), MS SQL (25%), Snowflake (25%).
What cloud and platforms does FinQuery use?
AWS is named in 75% of job postings at FinQuery, followed by GitHub Actions (50%), GitHub (38%), Power BI (38%).
What developer tools does FinQuery use?
Copilot is named in 38% of job postings at FinQuery, followed by Claude Code (25%), Rest API (25%), Fivetran (25%).
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What AI and ML technologies does FinQuery use?
LLM is named in 50% of job postings at FinQuery, followed by Claude (50%), Gemini (13%).
Which engineering practices does FinQuery ask for?
AI Agents is named in 63% of job postings at FinQuery, followed by CI/CD (25%), Context Engineering (13%), Human-in-the-Loop (13%).
How does your stack fit FinQuery?
How is the FinQuery 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 FinQuery stack?
FinQuery scores 92 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 FinQuery stack in its industry?
Share of the 150 companies in the same industries, whose stack Alion knows, that use each technology.
Companies with a stack like FinQuery
Questions about the FinQuery tech stack
What programming languages does FinQuery use?
The languages named in FinQuery job postings are SQL (75%), C# (25%), Java (25%), Python (25%), JavaScript (13%), as a share of the 8 postings of the last 12 months.
Does FinQuery use AWS?
Yes. AWS is named in 6 of 8 job postings (75%) and required in 5 of them.
What cloud and platforms does FinQuery use?
The cloud and platforms named in FinQuery job postings are AWS (6), GitHub Actions (4), GitHub (3) (postings in brackets).
Is the FinQuery tech stack changing?
Yes. Power BI, LLM, Java, Amazon Aurora first appeared in FinQuery job postings in the last six months.
How modern is the FinQuery tech stack?
FinQuery scores 92 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 FinQuery tech stack?
Alion reads every job posting FinQuery publishes and tags the technologies each one names. The figures on this page count the 8 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, "FinQuery tech stack: 48 technologies from 8 job postings", as of Sep 29, 2026. https://alion.io/company/finquery/technologies
