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Data Warehouse: market

A Data Warehouse Engineer builds a company's data warehouse: layer and mart models, ingestion from sources, data quality and query performance for BI and analytics. We currently track 486 open positions for this role, 455 of them fresh. The core is advanced SQL, modeling (Kimball, Data Vault), a cloud warehouse (Snowflake, BigQuery, Redshift), dbt, orchestration and data-quality control. By co-occurrence in requirements, Snowflake, SQL, Python and Azure appear most often. 43% of the postings allow fully remote work. Below is a live slice of the Data Warehouse Engineer market: geography, seniority, adjacent stack and sources.

486
open jobs
$6,588
median $/mo
43%
remote

The Data Warehouse market currently has 486 open roles, 455 of them freshly observed. Median salary $6,588/mo.

43% of Data Warehouse Engineer postings allow fully remote work; the share counts only postings that state the format.

⚠ salary known for 36 of 486 jobs; remote share from 394 with a stated format; 455 counted as fresh observations; trend and hiring difficulty are not shown

Timeline: postings and sources

How many Data Warehouse postings appeared each week since 4 May, and from how many sources. The second line separates market growth from coverage growth: a jump in the week new sources were connected means we started seeing more, not that the market grew.

New postings and active sources per week

Sources over the period: 89

New sources connected: 11 May +3 · 18 May +2 · 25 May +2 · 1 Jun +1 · 8 Jun +2 · 15 Jun +1 · 22 Jun +11 · 29 Jun +6 · 6 Jul +8 · 13 Jul +5 · 20 Jul +8 · 27 Jul +5 · 3 Aug +3 · 17 Aug +1 · 24 Aug +2 · 31 Aug +3 · 7 Sept +1 · 14 Sept +3 · 21 Sept +5 · 5 Oct +5 · 12 Oct +5

Week = posting first-seen date, all statuses; postings are selected by the same rule as this page's counter. Sources are distinct collection channels; their names are not published.

Remote work over time

Share of Data Warehouse postings offering fully remote work, per week.

Remote postings, %

The share is among postings that state a format (remote, hybrid, office). Weeks with fewer than 10 such postings are left blank.

Technologies over time

How the share of Data Warehouse postings mentioning each of the top technologies changed.

Postings mentioning the technology, %

Share among postings with a tagged stack; the series starts on 10 Aug: earlier stack tags were assigned differently. Weeks with fewer than 20 tagged postings are left blank.

Countries over time

How the share of Data Warehouse postings in each of the top countries changed, per week.

Postings in the country, %

Share among postings with a known country; the chart shows the five countries with the most postings over six months. Weeks with fewer than 20 postings with a known country are left blank. A rising share can mean a newly connected source in that country rather than market growth.

Demand and observed supply: Data Warehouse

Open demand486
Observed supply— not published

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

Salary distribution: Data Warehouse

One in ten earns under $4,062, one in ten over $9,937. Half the market falls between $5,775 and $7,880. Sample: 36.

The range histogram for Data Warehouse Engineer uses only postings with an explicit compensation range; the median is computed over the same sample.

Demand geography: Data Warehouse

countryjobs
PL159
US62
IN51
GB31
DE23
CA12
SG11
FR10
MX8
AU8

The top country for Data Warehouse Engineer demand is Poland (159 positions).

⚠ job counts only: salary by country is not published

Used together with

snowflake 330cloud 217sql 168python 133azure 112dbt 109aws 101airflow 66gcp 59databricks 59bigquery 56oracle 28

In Data Warehouse Engineer requirements the most frequently named skills and technologies are Snowflake, SQL, Python and Azure.

Demand by grade: Data Warehouse

gradejobs
senior235
middle31
lead20
principal12
junior8

Senior-and-above is about 87% of 306 Data Warehouse Engineer postings with an explicit grade.

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

Employers: Data Warehouse

Demand is spread across 235 employers. The largest accounts for 5.5%, the top ten for 23.2%; the remaining 76.8% is long tail.

sharevalue
top-15.5%
top-311.0%
top-1023.2%
long tail76.8%

Data Warehouse Engineer openings come from 235 distinct employers; the largest one accounts for only 5.5% of postings — the market is not tied to a single hirer.

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

Where Zorky sees this market

Observed across 51 sources; the largest accounts for 17.1% — this market does not rest on a single channel.

Data Warehouse Engineer postings arrive mostly from job boards & aggregators and ATS & career sites.

Recent openings: Data Warehouse

All jobs →

Adjacent markets

Data EngineerBig DataData Platform EngineerDBAStreaming

⚠ adjacent markets for comparison are not defined yet

How this is measured
Vacancy
an open job that cleared the quality gate and lists at least two technologies
Observed candidate
a candidate whose stack contains this technology; an aggregate — not a single record leaves the perimeter
Matchable candidate
not counted yet
Window
jobs open at the moment the snapshot was built

About the data

  • Some breakdowns are hidden: their data coverage is not yet sufficient.
  • Statistics are shown only where the sample clears a quality gate.
  • A missing block does not mean a value of zero.

Breakdowns currently hidden: 8.

Data as of 2026-10-24

Frequently asked questions

Common questions about the Data Warehouse Engineer role — short answers from the same data slice.

What does a Data Warehouse Engineer do?

A Data Warehouse Engineer builds a company's data warehouse: layer and mart models, ingestion from sources, data quality and query performance for BI and analytics.

Which skills do Data Warehouse Engineer postings require?

The core is advanced SQL, modeling (Kimball, Data Vault), a cloud warehouse (Snowflake, BigQuery, Redshift), dbt, orchestration and data-quality control. In the current slice, Snowflake, SQL, Python and Azure appear in requirements most often.

Which modeling methodologies are asked about?

Most often Kimball star schemas and Data Vault; increasingly the layered (bronze/silver/gold) architecture of lakehouse platforms.

How remote-friendly are Data Warehouse Engineer jobs?

43% of postings with an explicit format allow fully remote work; the slice tracks 486 open positions.

Get the full Data Warehouse market details

Full role analytics — salary bands, employers, trends and available candidates. Leave a contact and we'll send the details.

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