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Data Platform Engineer: market

A Data Platform Engineer builds the data platform all data teams run on: warehouses and lakehouses, orchestration, streaming, catalogs, access and self-service. We currently track 434 open positions for this role, 408 of them fresh. Postings expect data-engineering experience plus infrastructure: Kubernetes, Terraform, Kafka, Spark, cloud storage and Python or Scala programming. By co-occurrence in requirements, Python, Kafka, AWS and Iceberg appear most often. 44% of the postings allow fully remote work. Below is a live slice of the Data Platform Engineer market: geography, seniority, adjacent stack and sources.

434
open jobs
$2,989
median $/mo
44%
remote

The Data Platform Engineer market currently has 434 open roles, 408 of them freshly observed. Median salary $2,989/mo.

44% of Data Platform Engineer postings allow fully remote work; the share counts only postings that state the format.

⚠ salary known for 69 of 434 jobs; remote share from 391 with a stated format; 408 counted as fresh observations; trend and hiring difficulty are not shown

Timeline: postings and sources

How many Data Platform Engineer 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: 77

New sources connected: 25 May +1 · 1 Jun +3 · 15 Jun +4 · 22 Jun +2 · 29 Jun +8 · 6 Jul +5 · 13 Jul +5 · 20 Jul +4 · 27 Jul +3 · 10 Aug +1 · 17 Aug +2 · 24 Aug +1 · 31 Aug +4 · 7 Sept +1 · 14 Sept +1 · 21 Sept +6 · 28 Sept +2 · 5 Oct +3 · 12 Oct +10

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 Platform Engineer 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 Platform Engineer 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 Platform Engineer 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 Platform Engineer

Open demand434
Observed supply— not published

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

Salary distribution: Data Platform Engineer

One in ten earns under $2,989, one in ten over $14,166. Half the market falls between $2,989 and $6,902. Sample: 69.

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

Demand geography: Data Platform Engineer

countryjobs
US81
PL65
DE34
GB32
IN20
CA14
SG13
FR10
NL7
ES7

The top country for Data Platform Engineer demand is the US (81 positions).

⚠ job counts only: salary by country is not published

Used together with

cloud 143python 109kafka 97aws 75iceberg 74sql 61snowflake 57azure 55java 51kubernetes 51databricks 50airflow 49

In Data Platform Engineer requirements the most frequently named skills and technologies are Python, Kafka, AWS and Iceberg.

Demand by grade: Data Platform Engineer

gradejobs
senior188
principal35
middle24
lead12
junior1

Senior-and-above is about 90% of 260 Data Platform Engineer postings with an explicit grade.

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

Employers: Data Platform Engineer

Demand is spread across 241 employers. The largest accounts for 21.7%, the top ten for 30.7%; the remaining 69.3% is long tail.

sharevalue
top-121.7%
top-324.4%
top-1030.7%
long tail69.3%

Data Platform Engineer openings come from 241 distinct employers.

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

Where Zorky sees this market

Observed across 50 sources; the largest accounts for 22.6% — this market does not rest on a single channel.

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

Recent openings: Data Platform Engineer

All jobs →

Adjacent markets

Data EngineerBig DataDBAData WarehouseStreaming

⚠ 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 Platform Engineer role — short answers from the same data slice.

What does a Data Platform Engineer do?

A Data Platform Engineer builds the data platform all data teams run on: warehouses and lakehouses, orchestration, streaming, catalogs, access and self-service.

Which skills do Data Platform Engineer postings require?

Postings expect data-engineering experience plus infrastructure: Kubernetes, Terraform, Kafka, Spark, cloud storage and Python or Scala programming. In the current slice, Python, Kafka, AWS and Iceberg appear in requirements most often.

How does a Data Platform Engineer differ from a Data Engineer?

A Data Engineer builds specific pipelines; a platform engineer builds the tools and infrastructure all teams build those pipelines on.

How remote-friendly are Data Platform Engineer jobs?

44% of postings with an explicit format allow fully remote work; the slice tracks 434 open positions.

Get the full Data Platform Engineer 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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