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real-time data pipelines jobs in 2026 — demand, top roles hiring, and related skills

As of 2026-09-30, real-time data pipelines appears in 127 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning real-time data pipelines.

Last updated · 90d ending 2026-09-30

Postings · last 90 days
127
Top role · 33.1% of skill postings
Software Engineer
Top hiring metro
San Francisco

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Frequently asked questions about real-time data pipelines

+Is real-time data pipelines in demand in 2026?

Yes. real-time data pipelines appears in 127 job postings indexed by Skillenai over the 90 days ending 2026-09-30. Software Engineer accounts for the most postings mentioning real-time data pipelines (33.1% of all postings mentioning real-time data pipelines).

+What jobs require real-time data pipelines?

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 real-time data pipelines are Lead Data Scientist (5.0% of that role’s postings mention real-time data pipelines), Backend Software Engineer (1.5% of that role’s postings mention real-time data pipelines), Distributed Systems Engineer (1.5% of that role’s postings mention real-time data pipelines).

+What skills are commonly paired with real-time data pipelines?

Across job postings indexed by Skillenai (90 days ending 2026-09-30), real-time data pipelines most often appears alongside Python, Distributed systems, observability, CI/CD, monitoring.

+Where is real-time data pipelines most in demand?

As of 2026-09-30, the metro areas posting the most jobs requiring real-time data pipelines are San Francisco, London, New York City, San Carlos, Bengaluru, according to the Skillenai jobs index.

+How can I keep up with new real-time data pipelines content and jobs?

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

+Which skills come before and after real-time data pipelines?

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 real-time data pipelines — last 90 days

Career paths around real-time data pipelines

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before real-time data pipelines

Before real-time data pipelinessql → real-time data pipelines: 4 observed employer moves with this skill pairpython → real-time data pipelines: 3 observed employer moves with this skill pairPySpark → real-time data pipelines: 3 observed employer moves with this skill pairRedshift → real-time data pipelines: 3 observed employer moves with this skill pairKafka → real-time data pipelines: 3 observed employer moves with this skill pairPower BI → real-time data pipelines: 2 observed employer moves with this skill pairAzure → real-time data pipelines: 2 observed employer moves with this skill pairAWS → real-time data pipelines: 2 observed employer moves with this skill pairreal-timedatapipelinessql: 4 movessql4 movespython: 3 movespython3 movesPySpark: 3 movesPySpark3 movesRedshift: 3 movesRedshift3 movesKafka: 3 movesKafka3 movesPower BI: 2 movesPower BI2 movesAzure: 2 movesAzure2 movesAWS: 2 movesAWS2 moves

Skills after real-time data pipelines

After real-time data pipelinesreal-time data pipelines → python: 3 observed employer moves with this skill pairreal-time data pipelines → Azure Blob Storage: 2 observed employer moves with this skill pairreal-time data pipelines → databricks: 2 observed employer moves with this skill pairreal-time data pipelines → APIs: 2 observed employer moves with this skill pairreal-time data pipelines → PySpark: 2 observed employer moves with this skill pairreal-time data pipelines → Pig: 2 observed employer moves with this skill pairreal-time data pipelines → numpy: 2 observed employer moves with this skill pairreal-time data pipelines → Hive: 2 observed employer moves with this skill pairreal-timedatapipelinespython: 3 movespython3 movesAzure Blob Storage: 2 movesAzure Blob Storage2 movesdatabricks: 2 movesdatabricks2 movesAPIs: 2 movesAPIs2 movesPySpark: 2 movesPySpark2 movesPig: 2 movesPig2 movesnumpy: 2 movesnumpy2 movesHive: 2 movesHive2 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: sql4
Before: python3
Before: PySpark3
Before: Redshift3
Before: Kafka3
Before: Power BI2
Before: Azure2
Before: AWS2
After: python3
After: Azure Blob Storage2
After: databricks2
After: APIs2
After: PySpark2
After: Pig2
After: numpy2
After: Hive2

Roles most likely to require real-time data pipelines

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

RolePostings mentioning skill% of role postings mentioning skill
Lead Data Scientist55.0%
Backend Software Engineer91.5%
Distributed Systems Engineer11.5%
Python Developer11.4%
Data Engineering Director11.4%
Quantitative Developer11.2%
Data Platform Engineer31.0%
Data Engineering Manager20.9%
Staff Software Engineer10.7%
Backend Developer20.7%

Roles with the most real-time data pipelines postings

RolePostings mentioning skillShare of skill postings
Software Engineer4233.1%
Data Engineer1411.0%
Backend Software Engineer97.1%
Backend Engineer75.5%
DevOps Engineer53.9%
Lead Data Scientist53.9%
AI Engineer32.4%
Data Platform Engineer32.4%
Machine Learning Engineer32.4%
Backend Developer21.6%

Top companies posting jobs requiring real-time data pipelines

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

Top companies posting jobs requiring real-time data pipelines
CompanyPostings · 90 days
CHAOS Industries20
Wise7
Verkada4
BeaconOS4
Nebius3
CLERA3
1X2
Quicken Loans2
EarnIn2
Roboyo2

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 real-time data pipelines

NamePostingsShare
San Francisco2318.1%
London86.3%
New York City86.3%
San Carlos64.7%
Bengaluru53.9%
Toronto53.9%
Hyderabad32.4%
San Mateo32.4%
Copenhagen21.6%

Skills commonly paired with real-time data pipelines

Python (70)Distributed systems (61)observability (48)CI/CD (47)monitoring (47)Kubernetes (38)TypeScript (35)Azure (31)Terraform (28)infrastructure as code (27)

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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 real-time data pipelines by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s real-time data pipelines postings by all real-time data pipelines 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
40e23a1d8467713b
data_as_of
2026-09-30
window_days
90
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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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Compiled by Jared Rand · Data sourced from the Skillenai labor market index