Apache Flink jobs in 2026 — demand, top roles hiring, and related skills

As of 2026-10-30, Apache Flink appears in 423 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning Apache Flink, with demand share up 2.5% vs the prior 4 weeks.

Last updated · 90d ending 2026-10-30

Postings · last 90 days
423
Demand vs prior month
up 2.5% vs the prior 4 weeks
Top role · 41.1% of skill postings
Top hiring metro
Bengaluru

Which roles want Apache Flink?

Upload your resume and Skillenai will show which roles your Apache Flink experience fits, which skills you already cover, and what is missing.

Frequently asked questions about Apache Flink

+Is Apache Flink in demand in 2026?

Yes. Apache Flink appears in 423 job postings indexed by Skillenai over the 90 days ending 2026-10-30. Software Engineer accounts for the most postings mentioning Apache Flink (41.1% of all postings mentioning Apache Flink).

+What jobs require Apache Flink?

According to the Skillenai jobs index over the 90 days ending 2026-10-30, among roles with at least 20 postings, the highest shares mentioning Apache Flink are Distributed Systems Engineer (5.6% of that role’s postings mention Apache Flink), Application Support Engineer (5.0% of that role’s postings mention Apache Flink), Cloud Data Engineer (4.2% of that role’s postings mention Apache Flink).

+What skills are commonly paired with Apache Flink?

Across job postings indexed by Skillenai (90 days ending 2026-10-30), Apache Flink most often appears alongside Java, Python, Apache Spark, Kubernetes, Kafka.

+Where is Apache Flink most in demand?

As of 2026-10-30, the metro areas posting the most jobs requiring Apache Flink are Bengaluru, Singapore, Berlin, Budapest, Petaling Jaya, according to the Skillenai jobs index.

+How can I keep up with new Apache Flink content and jobs?

Skillenai indexes news, blog posts, and research papers mentioning Apache Flink alongside the jobs index. You can subscribe to a daily email digest of new Apache Flink content from your Skillenai account.

+Which skills come before and after Apache Flink?

The skill-flow chart shows skills documented in adjacent positions across observed employer changes. An outgoing skill is documented in the following position but not the preceding one. These are ideas to explore, not proven prerequisites, acquisition dates, or levels of mastery. Each ribbon counts employer moves with that skill pair; one move can contribute several pairs.

Weekly indexed postings requiring Apache Flink — last 90 days

Salary distribution

Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized

Career paths around Apache Flink

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before Apache Flink

Before Apache Flinkpython → Apache Flink: 12 observed employer moves with this skill pairsql → Apache Flink: 7 observed employer moves with this skill pairPySpark → Apache Flink: 6 observed employer moves with this skill pairPostgreSQL → Apache Flink: 5 observed employer moves with this skill pairPower BI → Apache Flink: 5 observed employer moves with this skill pairkubernetes → Apache Flink: 5 observed employer moves with this skill pairAWS → Apache Flink: 5 observed employer moves with this skill pairApache Kafka → Apache Flink: 4 observed employer moves with this skill pairApache Flinkpython: 12 movespython12 movessql: 7 movessql7 movesPySpark: 6 movesPySpark6 movesPostgreSQL: 5 movesPostgreSQL5 movesPower BI: 5 movesPower BI5 moveskubernetes: 5 moveskubernetes5 movesAWS: 5 movesAWS5 movesApache Kafka: 4 movesApache Kafka4 moves

Skills after Apache Flink

After Apache FlinkApache Flink → Apache Airflow: 6 observed employer moves with this skill pairApache Flink → databricks: 5 observed employer moves with this skill pairApache Flink → sql: 5 observed employer moves with this skill pairApache Flink → airflow: 5 observed employer moves with this skill pairApache Flink → snowflake: 5 observed employer moves with this skill pairApache Flink → spark: 5 observed employer moves with this skill pairApache Flink → kubernetes: 4 observed employer moves with this skill pairApache Flink → python: 4 observed employer moves with this skill pairApache FlinkApache Airflow: 6 movesApache Airflow6 movesdatabricks: 5 movesdatabricks5 movessql: 5 movessql5 movesairflow: 5 movesairflow5 movessnowflake: 5 movessnowflake5 movesspark: 5 movesspark5 moveskubernetes: 4 moveskubernetes4 movespython: 4 movespython4 moves
How to read this chart · view counts

Each side is an independent set of observed employer moves, not the same people followed through three stages. Ribbon widths compare move counts within that side. Internal moves are not included.

The following position documents a skill that the preceding position does not. Skills must be linked to both positions, with clear dates and no overlap. One move can connect several skill pairs. These patterns suggest skills to explore; they do not establish prerequisites, when a skill was learned, or a higher skill level.

Source: Skillenai talent graph, historical career profiles. Historical descriptions and coverage can change. Only the leading published connections are shown.

Observed connections and move counts
ConnectionMoves
Before: python12
Before: sql7
Before: PySpark6
Before: PostgreSQL5
Before: Power BI5
Before: kubernetes5
Before: AWS5
Before: Apache Kafka4
After: Apache Airflow6
After: databricks5
After: sql5
After: airflow5
After: snowflake5
After: spark5
After: kubernetes4
After: python4

Roles most likely to require Apache Flink

Among roles with at least 20 postings in the same period.

RolePostings mentioning skill% of role postings mentioning skill
Distributed Systems Engineer45.6%
Application Support Engineer15.0%
Cloud Data Engineer24.2%
Senior Data Engineer13.4%
Data Platform Architect13.2%
Software Development Manager33.2%
Data Infrastructure Engineer12.9%
Product Software Engineer12.9%
Engineering Team Lead12.8%
Java Software Engineer22.5%

Roles with the most Apache Flink postings

RolePostings mentioning skillShare of skill postings
Software Engineer17441.1%
Data Engineer11527.2%
Backend Engineer184.3%
Data Scientist61.4%
Engineering Manager51.2%
Data Architect40.9%
Data Engineering Manager40.9%
Data Platform Engineer40.9%
Distributed Systems Engineer40.9%
Platform Engineer40.9%

Top companies posting jobs requiring Apache Flink

Employers ranked by indexed job postings in the last 90 days.

Top companies posting jobs requiring Apache Flink
CompanyPostings · 90 days
Grab26
Cisco23
Wise12
General Motors9
PlayStation8
CrowdStrike8
Spotify7
Uber6
Mastercard6
OneTrust6

Job postings indexed over the past 90 days, grouped by resolved employer. Counts are postings, not hires. Companies without a published page appear without a link.

Top metros hiring for Apache Flink

NamePostingsShare
Bengaluru255.9%
Singapore153.5%
Berlin81.9%
Budapest81.9%
Petaling Jaya81.9%
Seattle81.9%
Hyderabad71.7%
London71.7%
Austin61.4%

Skills commonly paired with Apache Flink

Explore related pages

How this was computed

Weekly job-count charts omit the incomplete current week (weeks start Monday, UTC). Totals include all postings in the stated window. Counts derive from the Skillenai jobs index over the 90 days ending 2026-10-30. Skills are resolved against the Skillenai canonical taxonomy, so the same entity is counted whether a posting writes 'Python', 'Python 3', or 'python'. Role prevalence divides postings mentioning Apache Flink by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s Apache Flink postings by all Apache Flink postings, including postings without a role. Shares need not sum to 100% for the displayed roles. Pages refresh weekly (or daily for the top-50 most-requested skills). Adjusted posting share: 0.2% to 0.2%. Demand share change is the relative percentage change between these adjusted shares. Each employer-and-ATS group has at least 10 postings in each 90-day window; its earlier posting count supplies the same weight in both windows. The panel includes 2,482 identified employers and covers 71% of earlier and 70% of latest indexed postings. Windows: 2026-06-30 to 2026-09-28 and 2026-07-28 to 2026-10-26 (UTC; end dates excluded). The windows overlap by 62 days. Dates reflect indexing, not the employer’s posting date. This measures posting mix, not total hiring or market-wide demand. Matching excludes entrants and exits; changes in crawl completeness within an employer or ATS can still affect the result.

source
Skillenai jobs index, deduplicated daily
entity_id
33d08479ce931a6c
data_as_of
2026-10-30
window_days
90
Compiled by Jared Rand · Data sourced from the Skillenai labor market index