Streaming: market
A Streaming Engineer builds streaming data processing: sets up and runs Kafka, writes applications that process events in real time and connects services through event streams. We currently track 43 open positions for this role, 42 of them fresh. The core is Apache Kafka and its ecosystem (Kafka Connect, Schema Registry, Kafka Streams), Flink or Spark Streaming, Java, Scala or Python, managed cloud streaming, monitoring and cluster performance tuning. By co-occurrence in requirements, AWS, Kafka, Ansible and Grafana appear most often. 44% of the postings allow fully remote work. Below is a live slice of the Streaming Engineer market: geography, seniority, adjacent stack and sources.
The Streaming market currently has 43 open roles, 42 of them freshly observed.
44% of Streaming Engineer postings allow fully remote work; the share counts only postings that state the format.
⚠ salary known for 2 of 43 jobs; remote share from 39 with a stated format; 42 counted as fresh observations; trend and hiring difficulty are not shown
Timeline: postings and sources
How many Streaming 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: 39
New sources connected: 11 May +1 · 1 Jun +2 · 22 Jun +3 · 29 Jun +3 · 6 Jul +4 · 13 Jul +1 · 20 Jul +8 · 17 Aug +4 · 24 Aug +3 · 31 Aug +1 · 14 Sept +1 · 21 Sept +2 · 28 Sept +1 · 5 Oct +1 · 12 Oct +3
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.
Demand and observed supply: Streaming
| Open demand | 43 |
| Observed supply | — not published |
⚠ candidates matching a vacancy are not counted yet: demand and the observed pool are shown
Salary distribution: Streaming
The range histogram for Streaming Engineer uses only postings with an explicit compensation range; the median is computed over the same sample.
The chart will appear once enough observations accumulate for this breakdown.
Demand geography: Streaming
| country | jobs |
|---|---|
| PL | 23 |
| US | 6 |
| PK | 3 |
| AU | 2 |
| GB | 2 |
| SG | 1 |
| SA | 1 |
| DE | 1 |
| CA | 1 |
The top country for Streaming Engineer demand is Poland (23 positions).
⚠ job counts only: salary by country is not published
Used together with
In Streaming Engineer requirements the most frequently named skills and technologies are AWS, Kafka, Ansible and Grafana.
Demand by grade: Streaming
| grade | jobs |
|---|---|
| senior | 15 |
| middle | 12 |
| junior | 2 |
| principal | 2 |
| lead | 1 |
Senior-and-above is about 56% of 32 Streaming Engineer postings with an explicit grade.
⚠ demand side only: the grade of the observed pool is unknown for most of it
Employers: Streaming
Demand is spread across 24 employers. The largest accounts for 15.4%, the top ten for 64.1%; the remaining 35.9% is long tail.
| share | value |
|---|---|
| top-1 | 15.4% |
| top-3 | 35.9% |
| top-10 | 64.1% |
| long tail | 35.9% |
Streaming Engineer openings come from 24 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 17 sources; the largest accounts for 37.2% — this market does not rest on a single channel.
Streaming Engineer postings arrive mostly from job boards & aggregators and ATS & career sites.
Recent openings: Streaming
- Kafka Engineer · US
- Senior Quality Assurance Engineer (Event Streaming)
- Junior Kafka Engineer · PK
- Lead Confluent Kafka Engineer · PK
- Confluent Kafka Engineer · PK
- Data Engineer – AWS Kinesis & Databricks - AU Citizen · AU
- Data Engineer – AWS Kinesis & Databricks - AU Citizen · AU
- Kafka Engineer · PL
Adjacent markets
⚠ 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: 9.
Data as of 2026-10-24
Frequently asked questions
Common questions about the Streaming Engineer role — short answers from the same data slice.
What does a Streaming Engineer do?
A Streaming Engineer builds streaming data processing: sets up and runs Kafka, writes applications that process events in real time and connects services through event streams.
Which skills do Streaming Engineer postings require?
The core is Apache Kafka and its ecosystem (Kafka Connect, Schema Registry, Kafka Streams), Flink or Spark Streaming, Java, Scala or Python, managed cloud streaming, monitoring and cluster performance tuning. In the current slice, AWS, Kafka, Ansible and Grafana appear in requirements most often.
How does stream processing differ from batch?
Batch processes accumulated data on a schedule; streaming processes each event as soon as it appears. Streams matter where decisions must be made within seconds: payments, monitoring, recommendations.
How remote-friendly are Streaming Engineer jobs?
44% of postings with an explicit format allow fully remote work; the slice tracks 43 open positions.
Get the full Streaming market details
Full role analytics — salary bands, employers, trends and available candidates. Leave a contact and we'll send the details.