Apache Beam jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-10-21, Apache Beam appears in 200 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning Apache Beam, with demand share up 9.8% vs the prior 4 weeks.
Last updated · 90d ending 2026-10-21
Which roles want Apache Beam?
Upload your resume and Skillenai will show which roles your Apache Beam experience fits, which skills you already cover, and what is missing.
Frequently asked questions about Apache Beam
+Is Apache Beam in demand in 2026?
Yes. Apache Beam appears in 200 job postings indexed by Skillenai over the 90 days ending 2026-10-21. Software Engineer accounts for the most postings mentioning Apache Beam (33.5% of all postings mentioning Apache Beam).
+What jobs require Apache Beam?
According to the Skillenai jobs index over the 90 days ending 2026-10-21, among roles with at least 20 postings, the highest shares mentioning Apache Beam are Machine Learning Systems Engineer (9.1% of that role’s postings mention Apache Beam), Data Infrastructure Engineer (6.2% of that role’s postings mention Apache Beam), Data Engineering Director (5.8% of that role’s postings mention Apache Beam).
+What skills are commonly paired with Apache Beam?
Across job postings indexed by Skillenai (90 days ending 2026-10-21), Apache Beam most often appears alongside Python, SQL, BigQuery, Java, Apache Spark.
+Where is Apache Beam most in demand?
As of 2026-10-21, the metro areas posting the most jobs requiring Apache Beam are New York City, London, San Francisco, Bengaluru, Toronto, according to the Skillenai jobs index.
+How can I keep up with new Apache Beam content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning Apache Beam alongside the jobs index. You can subscribe to a daily email digest of new Apache Beam content from your Skillenai account.
+Which skills come before and after Apache Beam?
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 Beam — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Career paths around Apache Beam
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before Apache Beam
Skills after Apache Beam
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.
| Connection | Moves |
|---|---|
| Before: python | 12 |
| Before: Apache Spark | 8 |
| Before: Power BI | 7 |
| Before: Hadoop | 6 |
| Before: PySpark | 6 |
| Before: terraform | 6 |
| Before: snowflake | 6 |
| Before: spark | 5 |
| After: PySpark | 8 |
| After: Azure Data Factory | 6 |
| After: Power BI | 5 |
| After: AWS Glue | 5 |
| After: Kafka | 4 |
| After: Azure DevOps | 4 |
| After: databricks | 4 |
| After: snowflake | 3 |
Roles most likely to require Apache Beam
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Machine Learning Systems Engineer | 2 | 9.1% |
| Data Infrastructure Engineer | 2 | 6.2% |
| Data Engineering Director | 4 | 5.8% |
| Infrastructure Architect | 2 | 3.8% |
| Senior Data Scientist | 1 | 3.4% |
| Engineering Team Lead | 1 | 3.3% |
| Machine Learning Engineering Manager | 2 | 3.2% |
| Data Science Engineer | 1 | 2.4% |
| Java Software Engineer | 2 | 2.4% |
| Engineering Lead | 2 | 1.7% |
Roles with the most Apache Beam postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Software Engineer | 67 | 33.5% |
| Data Engineer | 61 | 30.5% |
| Backend Engineer | 10 | 5.0% |
| Machine Learning Engineer | 10 | 5.0% |
| Data Engineering Director | 4 | 2.0% |
| AI Engineer | 2 | 1.0% |
| Analytics Engineer | 2 | 1.0% |
| Data Infrastructure Engineer | 2 | 1.0% |
| Data Scientist | 2 | 1.0% |
| Engineering Lead | 2 | 1.0% |
Top companies posting jobs requiring Apache Beam
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Spotify | 14 |
| Ping Identity | 5 |
| Life Sciences | 5 |
| Mozilla | 5 |
| Waymo | 5 |
| Siftstack | 4 |
| 4 | |
| ZoomInfo | 4 |
| TTEC | 4 |
| Artefactlinkedin | 4 |
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 Beam
| Name | Postings | Share |
|---|---|---|
| New York City | 10 | 5.0% |
| London | 7 | 3.5% |
| San Francisco | 7 | 3.5% |
| Bengaluru | 6 | 3.0% |
| Toronto | 6 | 3.0% |
| Mountain View | 4 | 2.0% |
| Austin | 3 | 1.5% |
| Stockholm | 3 | 1.5% |
| São Paulo | 3 | 1.5% |
Skills commonly paired with Apache Beam
Explore related pages
How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-10-21. 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 Beam by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s Apache Beam postings by all Apache Beam 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: 0.1% to 0.1%. 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 2,610 identified employers and covers 72% of earlier and 73% of latest indexed postings. Windows: 2026-06-23 to 2026-09-21 and 2026-07-21 to 2026-10-19 (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
- fbec7de5131cc704
- data_as_of
- 2026-10-21
- window_days
- 90