Skillenai

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

As of 2026-11-04, data acquisition appears in 600 job postings indexed by Skillenai over the past 90 days — Test Engineer has the most postings mentioning data acquisition, with demand share down 2.5% vs the prior 4 weeks.

Last updated · 90d ending 2026-11-04

Postings · last 90 days
600
Demand vs prior month
down 2.5% vs the prior 4 weeks
Top role · 18.8% of skill postings
Test Engineer
Top hiring metro
Long Beach

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Frequently asked questions about data acquisition

+Is data acquisition in demand in 2026?

Yes. data acquisition appears in 600 job postings indexed by Skillenai over the 90 days ending 2026-11-04. Test Engineer accounts for the most postings mentioning data acquisition (18.8% of all postings mentioning data acquisition).

+What jobs require data acquisition?

According to the Skillenai jobs index over the 90 days ending 2026-11-04, among roles with at least 20 postings, the highest shares mentioning data acquisition are Automation and Controls Engineer (22.5% of that role’s postings mention data acquisition), Manufacturing Test Engineer (20.0% of that role’s postings mention data acquisition), Avionics Test Engineer (20.0% of that role’s postings mention data acquisition).

+What skills are commonly paired with data acquisition?

Across job postings indexed by Skillenai (90 days ending 2026-11-04), data acquisition most often appears alongside Python, test automation, MATLAB, LabVIEW, Data analysis.

+Where is data acquisition most in demand?

As of 2026-11-04, the metro areas posting the most jobs requiring data acquisition are Long Beach, El Segundo, Irvine, Costa Mesa, Los Angeles, according to the Skillenai jobs index.

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

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

+Which skills come before and after data acquisition?

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 acquisition — last 90 days

Salary distribution

Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized

Career paths around data acquisition

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before data acquisition

Before data acquisitionspark → data acquisition: 2 observed employer moves with this skill pairAWS → data acquisition: 2 observed employer moves with this skill pairroot cause analysis → data acquisition: 2 observed employer moves with this skill pairTableau → data acquisition: 2 observed employer moves with this skill pairfraud detection → data acquisition: 2 observed employer moves with this skill pairKafka → data acquisition: 2 observed employer moves with this skill pairAutodesk Inventor → data acquisition: 1 observed employer moves with this skill pairNLP → data acquisition: 1 observed employer moves with this skill pairdataacquisitionspark: 2 movesspark2 movesAWS: 2 movesAWS2 movesroot cause analysis: 2 movesroot causeanalysis2 movesTableau: 2 movesTableau2 movesfraud detection: 2 movesfraud detection2 movesKafka: 2 movesKafka2 movesAutodesk Inventor: 1 movesAutodesk Inventor1 movesNLP: 1 movesNLP1 moves

Skills after data acquisition

After data acquisitiondata acquisition → CSS: 3 observed employer moves with this skill pairdata acquisition → python: 3 observed employer moves with this skill pairdata acquisition → HTML: 2 observed employer moves with this skill pairdata acquisition → 3D printing: 2 observed employer moves with this skill pairdata acquisition → jQuery: 2 observed employer moves with this skill pairdata acquisition → sql: 2 observed employer moves with this skill pairdata acquisition → SQL Server: 2 observed employer moves with this skill pairdata acquisition → ETL: 2 observed employer moves with this skill pairdataacquisitionCSS: 3 movesCSS3 movespython: 3 movespython3 movesHTML: 2 movesHTML2 moves3D printing: 2 moves3D printing2 movesjQuery: 2 movesjQuery2 movessql: 2 movessql2 movesSQL Server: 2 movesSQL Server2 movesETL: 2 movesETL2 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: spark2
Before: AWS2
Before: root cause analysis2
Before: Tableau2
Before: fraud detection2
Before: Kafka2
Before: Autodesk Inventor1
Before: NLP1
After: CSS3
After: python3
After: HTML2
After: 3D printing2
After: jQuery2
After: sql2
After: SQL Server2
After: ETL2

Roles most likely to require data acquisition

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

RolePostings mentioning skill% of role postings mentioning skill
Automation and Controls Engineer922.5%
Manufacturing Test Engineer1720.0%
Avionics Test Engineer620.0%
Mechanical Test Engineer918.8%
Electrical Test Engineer1218.5%
Hardware Test Engineer1112.8%
Product Test Engineer312.5%
Systems Test Engineer1311.6%
Integration & Test Engineer310.7%
Control Systems Engineer610.5%

Roles with the most data acquisition postings

RolePostings mentioning skillShare of skill postings
Test Engineer11318.8%
Software Engineer254.2%
Systems Engineer213.5%
Data Scientist172.8%
Manufacturing Test Engineer172.8%
Data Engineer152.5%
Systems Test Engineer132.2%
Automation Engineer122.0%
Electrical Test Engineer122.0%
Hardware Test Engineer111.8%

Top companies posting jobs requiring data acquisition

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

Top companies posting jobs requiring data acquisition
CompanyPostings · 90 days
Anduril Industries77
Varda Space Industries30
Relativity Space20
Northrop Grumman16
Globalpr13
SpaceX11
Avav11
Actalent10
True Anomaly9
Voyager Technologies9

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 acquisition

NamePostingsShare
Long Beach406.7%
El Segundo325.3%
Irvine233.8%
Costa Mesa203.3%
Los Angeles162.7%
San Francisco162.7%
Tucson132.2%
Lexington111.8%
Austin81.3%

Skills commonly paired with data acquisition

Python (259)test automation (126)MATLAB (124)LabVIEW (108)Data analysis (92)instrumentation (89)Root cause analysis (82)Linux (77)vibration testing (46)control systems (44)

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 2026-11-04. 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 acquisition by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s data acquisition postings by all data acquisition 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: 0.3% to 0.3%. 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 2,472 identified employers and covers 71% of earlier and 70% of latest indexed postings. Windows: 2026-07-07 to 2026-10-05 and 2026-08-04 to 2026-11-02 (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
3260d452ef3a73a0
data_as_of
2026-11-04
window_days
90
Compiled by Jared Rand · Data sourced from the Skillenai labor market index