MapReduce jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-30, MapReduce appears in 240 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning MapReduce.
Last updated · 90d ending 2026-09-30
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Frequently asked questions about MapReduce
+Is MapReduce in demand in 2026?
Yes. MapReduce appears in 240 job postings indexed by Skillenai over the 90 days ending 2026-09-30. Software Engineer accounts for the most postings mentioning MapReduce (27.5% of all postings mentioning MapReduce).
+What jobs require MapReduce?
According to the Skillenai jobs index over the 90 days ending 2026-09-30, among roles with at least 20 postings, the highest shares mentioning MapReduce are Test Lead (18.2% of that role’s postings mention MapReduce), Lead Data Engineer (9.3% of that role’s postings mention MapReduce), Big Data Engineer (5.6% of that role’s postings mention MapReduce).
+What skills are commonly paired with MapReduce?
Across job postings indexed by Skillenai (90 days ending 2026-09-30), MapReduce most often appears alongside Hadoop, Python, Spark, Hive, Java.
+Where is MapReduce most in demand?
As of 2026-09-30, the metro areas posting the most jobs requiring MapReduce are Annapolis, Chicago, New York City, Bengaluru, Arlington, according to the Skillenai jobs index.
+How can I keep up with new MapReduce content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning MapReduce alongside the jobs index. You can subscribe to a daily email digest of new MapReduce content from your Skillenai account.
+Which skills come before and after MapReduce?
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 MapReduce — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Career paths around MapReduce
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before MapReduce
Skills after MapReduce
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 | 27 |
| Before: Hive | 18 |
| Before: snowflake | 16 |
| Before: sql | 13 |
| Before: PySpark | 13 |
| Before: Tableau | 13 |
| Before: Hadoop | 12 |
| Before: spark | 11 |
| After: Jenkins | 18 |
| After: PySpark | 16 |
| After: Kafka | 16 |
| After: snowflake | 15 |
| After: docker | 15 |
| After: sql | 14 |
| After: airflow | 12 |
| After: Spark SQL | 12 |
Roles most likely to require MapReduce
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Test Lead | 4 | 18.2% |
| Lead Data Engineer | 7 | 9.3% |
| Big Data Engineer | 3 | 5.6% |
| Technical Test Lead | 1 | 2.6% |
| Technology Architect | 5 | 1.9% |
| Cloud Software Engineer | 2 | 1.8% |
| Technology Lead | 2 | 1.7% |
| Quantitative Developer | 1 | 1.2% |
| Application Architect | 1 | 1.1% |
| Full-stack Engineer | 1 | 1.1% |
Roles with the most MapReduce postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Software Engineer | 66 | 27.5% |
| Data Engineer | 65 | 27.1% |
| Data Scientist | 25 | 10.4% |
| Lead Data Engineer | 7 | 2.9% |
| AI Engineer | 6 | 2.5% |
| Big Data Technology Lead | 6 | 2.5% |
| Data Analyst | 5 | 2.1% |
| Technology Architect | 5 | 2.1% |
| Test Lead | 4 | 1.7% |
| Big Data Engineer | 3 | 1.2% |
Top companies posting jobs requiring MapReduce
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Capital One | 49 |
| Bah | 16 |
| Captivation | 15 |
| Nebius | 7 |
| 6 | |
| AvePoint | 5 |
| Wyetech | 5 |
| Cisco | 4 |
| Quintoandar | 3 |
| Booz Allen Hamilton | 3 |
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 MapReduce
| Name | Postings | Share |
|---|---|---|
| Annapolis | 28 | 11.7% |
| Chicago | 9 | 3.8% |
| New York City | 8 | 3.3% |
| Bengaluru | 6 | 2.5% |
| Arlington | 5 | 2.1% |
| Bellevue | 5 | 2.1% |
| Richardson | 5 | 2.1% |
| Austin | 4 | 1.7% |
| Fort Meade | 4 | 1.7% |
Skills commonly paired with MapReduce
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How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-09-30. 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 MapReduce by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s MapReduce postings by all MapReduce 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). An adjusted trend is not shown because comparable posting coverage is insufficient.
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- 36a4739f9298586d
- data_as_of
- 2026-09-30
- window_days
- 90
The demand, skills, and geo numbers on this page come from the same Skillenai labor market index that powers our API. Use it for compensation benchmarking, hiring-competition analysis, and skill-adoption tracking.
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