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

As of 2026-10-30, notebooks appears in 205 job postings indexed by Skillenai over the past 90 days — Data Engineer has the most postings mentioning notebooks, with demand share down 5.5% vs the prior 4 weeks.

Last updated · 90d ending 2026-10-30

Postings · last 90 days
205
Demand vs prior month
down 5.5% vs the prior 4 weeks
Top role · 28.3% of skill postings
Top hiring metro
San Francisco

Which roles want notebooks?

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

Frequently asked questions about notebooks

+Is notebooks in demand in 2026?

Yes. notebooks appears in 205 job postings indexed by Skillenai over the 90 days ending 2026-10-30. Data Engineer accounts for the most postings mentioning notebooks (28.3% of all postings mentioning notebooks).

+What jobs require notebooks?

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 notebooks are Deployment Strategist (13.6% of that role’s postings mention notebooks), Azure Data Engineer (5.4% of that role’s postings mention notebooks), Developer Relations Engineer (5.0% of that role’s postings mention notebooks).

+What skills are commonly paired with notebooks?

Across job postings indexed by Skillenai (90 days ending 2026-10-30), notebooks most often appears alongside Python, SQL, Databricks, Power BI, Microsoft Fabric.

+Where is notebooks most in demand?

As of 2026-10-30, the metro areas posting the most jobs requiring notebooks are San Francisco, London, New York City, Hyderabad, Paris, according to the Skillenai jobs index.

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

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

+Which skills come before and after notebooks?

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 notebooks — last 90 days

Career paths around notebooks

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before notebooks

Before notebooksHDFS → notebooks: 3 observed employer moves with this skill pairSqoop → notebooks: 3 observed employer moves with this skill pairspark → notebooks: 2 observed employer moves with this skill pairoracle → notebooks: 2 observed employer moves with this skill pairpython → notebooks: 2 observed employer moves with this skill pairdocker → notebooks: 2 observed employer moves with this skill pairsql → notebooks: 2 observed employer moves with this skill pairHadoop → notebooks: 2 observed employer moves with this skill pairnotebooksHDFS: 3 movesHDFS3 movesSqoop: 3 movesSqoop3 movesspark: 2 movesspark2 movesoracle: 2 movesoracle2 movespython: 2 movespython2 movesdocker: 2 movesdocker2 movessql: 2 movessql2 movesHadoop: 2 movesHadoop2 moves

Skills after notebooks

After notebooksnotebooks → databricks: 2 observed employer moves with this skill pairnotebooks → AWS Sitewise with OPC-UA: 1 observed employer moves with this skill pairnotebooks → ETL: 1 observed employer moves with this skill pairnotebooks → Storage hierarchies: 1 observed employer moves with this skill pairnotebooks → Azure DevOps: 1 observed employer moves with this skill pairnotebooks → Azure Site Recovery: 1 observed employer moves with this skill pairnotebooks → data warehouse (DW): 1 observed employer moves with this skill pairnotebooks → Node-RED: 1 observed employer moves with this skill pairnotebooksdatabricks: 2 movesdatabricks2 movesAWS Sitewise with OPC-UA: 1 movesAWS Sitewise withOPC-UA1 movesETL: 1 movesETL1 movesStorage hierarchies: 1 movesStoragehierarchies1 movesAzure DevOps: 1 movesAzure DevOps1 movesAzure Site Recovery: 1 movesAzure SiteRecovery1 movesdata warehouse (DW): 1 movesdata warehouse(DW)1 movesNode-RED: 1 movesNode-RED1 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: HDFS3
Before: Sqoop3
Before: spark2
Before: oracle2
Before: python2
Before: docker2
Before: sql2
Before: Hadoop2
After: databricks2
After: AWS Sitewise with OPC-UA1
After: ETL1
After: Storage hierarchies1
After: Azure DevOps1
After: Azure Site Recovery1
After: data warehouse (DW)1
After: Node-RED1

Roles most likely to require notebooks

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

RolePostings mentioning skill% of role postings mentioning skill
Deployment Strategist1113.6%
Azure Data Engineer25.4%
Developer Relations Engineer25.0%
Developer Advocate34.8%
BI Engineer23.9%
Analytics Engineering Manager13.7%
AI Deployment Engineer13.3%
BI Analyst13.1%
Data Platform Architect13.1%
GenAI Engineer12.9%

Roles with the most notebooks postings

RolePostings mentioning skillShare of skill postings
Data Engineer5828.3%
Data Scientist157.3%
Deployment Strategist115.4%
Software Engineer83.9%
Data Analyst73.4%
Forward Deployed Engineer62.9%
Product Manager52.4%
Business Intelligence Analyst42.0%
Solutions Architect42.0%
Applied AI Engineer31.5%

Top companies posting jobs requiring notebooks

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

Top companies posting jobs requiring notebooks
CompanyPostings · 90 days
Sopra Steria14
OpenAI7
Databricks7
Talan4
Elsevier4
Higharc4
Chainalysis-careers3
Sggovterp3
Shift Technology3
Software Mind3

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 notebooks

NamePostingsShare
San Francisco94.4%
London83.9%
New York City62.9%
Hyderabad42.0%
Paris42.0%
Stockholm42.0%
São Paulo42.0%
Bengaluru31.5%
Delhi31.5%

Skills commonly paired with notebooks

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 notebooks by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s notebooks postings by all notebooks 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 2,482 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
0eba448aefa971c4
data_as_of
2026-10-30
window_days
90
Compiled by Jared Rand · Data sourced from the Skillenai labor market index