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SQL: Markt

SQL is the most cross-cutting skill on the IT market: the query language for relational data is needed not by one role but by nearly all of them. We track 22 191 open positions listing SQL, 20 798 of them fresh. SQL is rarely the only requirement: it is part of the baseline for analysts, data engineers, backend developers and QA. The bulk of demand comes from Data, Backend and ML/AI roles. SQL most often appears next to Python, Java and Azure. 36% of the postings allow fully remote work. Below is measured SQL demand: trend, countries, seniority and adjacent technologies from public sources.

22.191
offene Stellen
$7.475
Median $/Monat
3.502
beobachtetes Angebot
36%
remote

Der Markt für SQL hat derzeit 22.191 offene Rollen, davon 20.798 frisch beobachtet. Median salary $7.475/mo. Observed candidate pool — 3.502.

36% of SQL postings allow fully remote work — data work translates well to remote settings.

⚠ salary known for 2006 of 22191 jobs; remote share from 17198 with a stated format; 20798 counted as fresh observations; trend and hiring difficulty are not shown

Nachfrage und beobachtetes Angebot

Offene Nachfrage22.191
Beobachtetes Angebot3.502

⚠ candidates matching a vacancy are not counted yet: demand and the observed pool are shown

Gehaltsverteilung

Jeder Zehnte verdient unter $3.333, jeder Zehnte über $15.416. Die Hälfte des Markts liegt zwischen $5.117 und $11.666. Stichprobe: 2.006.

The histogram shows compensation ranges in SQL postings; the sample includes only postings with an explicit range.

Geografie der Nachfrage

LandStellen
US5.029
PL4.192
IN1.398
GB979
RU945
DE730
HK584
CA485
SG459
BR407

The top country for SQL demand is the US (5 029 positions).

⚠ job counts only: salary by country is not published

Wird zusammen verwendet mit

python 10.136cloud 6.709java 4.012azure 3.930aws 3.537javascript 2.357oracle 2.330c# 2.135databricks 1.955snowflake 1.738postgresql 1.680docker 1.588

SQL lives in a bundle: Python, Java and Azure appear next to it most often. The query language alone is a rare requirement — what matters is the 'SQL + tool' pair.

Rollen, die sie nutzen

RolleStellen
Data5.413
Backend2.345
ML/AI1.673
Fullstack1.595
DevOps1.144
Analyst874
QA807
Architect715
Product621
Analytics Engineer582

⚠ the `Other` and `IT` buckets are excluded as non-roles

Nachfrage nach Level

LevelStellen
senior7.113
middle1.903
lead1.191
principal865
junior855

Senior-and-above is about 77% of 11 927 graded SQL postings; still, SQL remains one of the most accessible entry skills into data.

⚠ demand side only: the grade of the observed pool is unknown for most of it

Arbeitgeber

Die Nachfrage verteilt sich auf 7.159 Arbeitgeber. Der größte steht für 1.8 %, die Top Ten für 9.4 %; die übrigen 90.6 % sind Long Tail.

AnteilWert
Top-11.8%
Top-34.5%
Top-109.4%
Long Tail90.6%

⚠ names are not shown: staffing agencies and end employers are not yet told apart by the classifier

Wo Zorky diesen Markt sieht

Beobachtet in 285 Quellen; die größte steht für 19.1 % — dieser Markt hängt nicht an einem einzigen Kanal.

SQL postings arrive mostly from ATS & career sites and job boards & aggregators.

Neueste Ausschreibungen

Alle Stellen →

Benachbarte Märkte

PythonJavaAzureAWSJavaScriptOracle

⚠ adjacent markets for comparison are not defined yet

So wird gemessen
Stelle
an open job that cleared the quality gate and lists at least two technologies
Beobachteter Kandidat
a candidate whose stack contains this technology; an aggregate — not a single record leaves the perimeter
Matchbarer Kandidat
not counted yet
Fenster
jobs open at the moment the snapshot was built

Über die Daten

  • Einige Aufschlüsselungen sind ausgeblendet: Die Datenabdeckung reicht noch nicht aus.
  • Statistiken erscheinen nur, wo die Stichprobe eine Qualitätsschwelle passiert.
  • Ein fehlender Block bedeutet nicht den Wert null.

Derzeit ausgeblendete Aufschlüsselungen: 7.

Datenstand 2026-10-26

Häufig gestellte Fragen

Common questions about SQL's place on the market — short answers from the slice.

Which roles need SQL?

Practically everyone working with data: Data, Backend, ML/AI and Fullstack lead the demand. Analysts use SQL daily, data engineers pair it with orchestration and warehouses, backend developers need it for database work, QA — for validating data in tests.

Which dialect should I learn: PostgreSQL, MySQL or something else?

The base syntax transfers; beyond that, follow your segment: PostgreSQL dominates product and startup stacks, MySQL — the web, analytical dialects (BigQuery, Snowflake, ClickHouse) — data platforms. Window functions, CTEs and query optimization matter more than the dialect.

Is SQL alone enough to get hired?

Rarely as the only skill: SQL is asked for in a pair with tools (Python, Java, Azure and AWS). Still, SQL remains the shortest path into data analytics; the slice tracks 22 191 postings listing SQL.

Will natural-language tools replace SQL?

A natural-language prompt can generate SQL, but verifying, optimizing and fixing it still requires a person who understands the data model. The demand in this slice confirms it: SQL stays near the top of requirements.