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data processing workflows jobs in 2026 — demand, top roles hiring, and related skills

As of 2026-10-30, data processing workflows appears in 26 job postings indexed by Skillenai over the past 90 days — Data Engineer has the most postings mentioning data processing workflows.

Last updated · 90d ending 2026-10-30

Postings · last 90 days
26
Top role · 11.5% of skill postings
Data Engineer
Top hiring metro
Arlington

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Frequently asked questions about data processing workflows

+Is data processing workflows in demand in 2026?

Yes. data processing workflows appears in 26 job postings indexed by Skillenai over the 90 days ending 2026-10-30. Data Engineer accounts for the most postings mentioning data processing workflows (11.5% of all postings mentioning data processing workflows).

+What jobs require data processing workflows?

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 data processing workflows are Azure Data Engineer (2.7% of that role’s postings mention data processing workflows), Software Engineer (Backend) (1.6% of that role’s postings mention data processing workflows), Performance Engineer (1.5% of that role’s postings mention data processing workflows).

+What skills are commonly paired with data processing workflows?

Across job postings indexed by Skillenai (90 days ending 2026-10-30), data processing workflows most often appears alongside Python, data pipelines, machine learning, SQL, ETL.

+Where is data processing workflows most in demand?

As of 2026-10-30, the metro areas posting the most jobs requiring data processing workflows are Arlington, Hong Kong, San Jose, Alexandria, Charlottesville, according to the Skillenai jobs index.

+How can I keep up with new data processing workflows content and jobs?

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

+Which skills come before and after data processing workflows?

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 data processing workflows — last 90 days

Career paths around data processing workflows

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before data processing workflows

Before data processing workflowspython → data processing workflows: 5 observed employer moves with this skill pairsql → data processing workflows: 4 observed employer moves with this skill pairTableau → data processing workflows: 4 observed employer moves with this skill pairPower BI → data processing workflows: 3 observed employer moves with this skill pairdata visualizations → data processing workflows: 2 observed employer moves with this skill pairdata cleaning → data processing workflows: 2 observed employer moves with this skill pairExcel → data processing workflows: 2 observed employer moves with this skill pairdata analysis → data processing workflows: 2 observed employer moves with this skill pairdataprocessingworkflowspython: 5 movespython5 movessql: 4 movessql4 movesTableau: 4 movesTableau4 movesPower BI: 3 movesPower BI3 movesdata visualizations: 2 movesdatavisualizations2 movesdata cleaning: 2 movesdata cleaning2 movesExcel: 2 movesExcel2 movesdata analysis: 2 movesdata analysis2 moves

Skills after data processing workflows

After data processing workflowsdata processing workflows → Power BI: 4 observed employer moves with this skill pairdata processing workflows → ETL pipelines: 3 observed employer moves with this skill pairdata processing workflows → Tableau: 2 observed employer moves with this skill pairdata processing workflows → Azure Data Factory: 2 observed employer moves with this skill pairdata processing workflows → Redshift: 2 observed employer moves with this skill pairdata processing workflows → AWS Redshift: 2 observed employer moves with this skill pairdata processing workflows → spark: 2 observed employer moves with this skill pairdata processing workflows → Data Extraction: 2 observed employer moves with this skill pairdataprocessingworkflowsPower BI: 4 movesPower BI4 movesETL pipelines: 3 movesETL pipelines3 movesTableau: 2 movesTableau2 movesAzure Data Factory: 2 movesAzure Data Factory2 movesRedshift: 2 movesRedshift2 movesAWS Redshift: 2 movesAWS Redshift2 movesspark: 2 movesspark2 movesData Extraction: 2 movesData Extraction2 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: python5
Before: sql4
Before: Tableau4
Before: Power BI3
Before: data visualizations2
Before: data cleaning2
Before: Excel2
Before: data analysis2
After: Power BI4
After: ETL pipelines3
After: Tableau2
After: Azure Data Factory2
After: Redshift2
After: AWS Redshift2
After: spark2
After: Data Extraction2

Roles most likely to require data processing workflows

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

RolePostings mentioning skill% of role postings mentioning skill
Azure Data Engineer12.7%
Software Engineer (Backend)11.6%
Performance Engineer11.5%
Principal Engineer10.6%
Data Platform Engineer10.3%
Research Engineer20.3%
Applied AI Engineer10.2%
Infrastructure Engineer10.1%
ML Engineer10.1%
Data Analyst20.1%

Roles with the most data processing workflows postings

RolePostings mentioning skillShare of skill postings
Data Engineer311.5%
Data Analyst27.7%
Data Scientist27.7%
Research Engineer27.7%
Risk Advisory eDiscovery Director27.7%
Software Engineer27.7%
Applied AI Engineer13.8%
Azure Data Engineer13.8%
Billing Analytics & Automation Specialist13.8%
Business Analyst13.8%

Top companies posting jobs requiring data processing workflows

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

Top companies posting jobs requiring data processing workflows
CompanyPostings · 90 days
Ankura2
CoStar Group2
Barclays2
Riverside Research2
Inmar Intelligence1
Commtrans1
Thetradedesk1
FIS1
PwC1
Impiricus1

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 data processing workflows

NamePostingsShare
Arlington27.7%
Hong Kong27.7%
San Jose27.7%
Alexandria13.8%
Charlottesville13.8%
Dayton13.8%
Everett13.8%
Hampton13.8%
Pune13.8%

Skills commonly paired with data processing workflows

Python (11)data pipelines (11)machine learning (8)SQL (7)ETL (5)data processing (5)data quality (4)data modeling (4)predictive modeling (4)Data analysis (4)

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 data processing workflows by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s data processing workflows postings by all data processing workflows 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
bdae53a16cdcc1fe
data_as_of
2026-10-30
window_days
90
Compiled by Jared Rand · Data sourced from the Skillenai labor market index