DuckDB jobs and hiring demand

Core and required roles are separated from contextual and optional mentions so the headline does not overstate job intent.

Explore DuckDB by location

Select up to five markets; results and hiring evidence update together.

This reference guide is available while the observed market sample grows. Counts describe listings in our catalog; employer breadth and source-date coverage are still limited.

2core + required roles3context + optional mentions2remote-friendly▼ -1 this week

Employer concentration

EPAM accounts for 2 of 5 mentions (40%). The remaining 3 mentions span other employers.

DuckDB market intelligence visualization

AI & Data · responsibility and evidence

DuckDB market guide

DuckDB is an analytical database designed to run within a process. It is useful for querying analytical data without a separately operated database server. Hiring requirements can concern local analysis, embedded analytics or data pipelines; these have different concurrency and lifecycle constraints.

5 live roles4 hiring companies40% remote-friendly

Vacancy evidence map

Where DuckDB carries hiring weight

Each segment represents roles where DuckDB was parsed at that evidence tier. This keeps a required production skill separate from contextual stack language.

0 Core2 Required1 Supporting2 Optional
2core + required40% of mentions
1.3roles per company4 employers

Market interpretation

What DuckDB demand means in practice

DuckDB is an analytical database designed to run within a process. It is useful for querying analytical data without a separately operated database server. Hiring requirements can concern local analysis, embedded analytics or data pipelines; these have different concurrency and lifecycle constraints.

Explain the data formats, query workload and process boundary in your project. Measure memory use and query behavior at representative data sizes. Include input validation, repeatability and file-update handling, and distinguish embedded analytical execution from serving a highly concurrent transactional workload.

Analytics EngineeringData Engineering
Technical references: DuckDB reference ↗

Reading the market

Signals to look for

  • Look for responsibility for data formats and analytical query workload.
  • Look for responsibility for memory and query performance at realistic sizes.
  • Look for responsibility for process boundaries and reproducible file updates.

Questions candidates ask

DuckDB hiring FAQ

What work does DuckDB represent?

DuckDB is an analytical database designed to run within a process. It is useful for querying analytical data without a separately operated database server. Hiring requirements can concern local analysis, embedded analytics or data pipelines; these have different concurrency and lifecycle constraints.

What evidence should I provide for a DuckDB role?

Explain the data formats, query workload and process boundary in your project. Measure memory use and query behavior at representative data sizes. Include input validation, repeatability and file-update handling, and distinguish embedded analytical execution from serving a highly concurrent transactional workload.

How DuckDB appears in job requirements

Inferred from the title and requirement wording in 5 active roles; each role is counted once. Read the methodology.

Posting evidence, not a company-wide stack claim
Main / core
0%(0)
Required
40%(2)
Supporting / context
20%(1)
Nice-to-have
40%(2)

Skills mentioned with DuckDB

A shared posting does not always require both skills. Explicit alternatives are counted separately.

Role graph

Roles hiring for DuckDB

Original hiring measurements follow the ApplyDjinn data license and attribution rules. Employer descriptions, logos and trademarks remain with their owners.

DuckDB: Technology, Skills & Career Guide | ApplyDjinn