echoloc
Get started
COMPANIES USING

Data Infrastructure and Analytics Companies Using Python

144 companies in Data Infrastructure and Analytics are hiring Python talent.

Python is the default language for data engineering, machine learning, and pipeline automation — making it a reliable proxy for companies building or scaling data infrastructure. When a company in the Data Infrastructure and Analytics space posts Python roles, they're signaling active investment in internal tooling, data products, or AI capabilities. These companies are almost certainly evaluating or expanding their spend on cloud data platforms, orchestration tools, and MLOps solutions.

Buying Signal

A company hiring 10+ Python engineers in this sector is likely building out pipelines, training models, or replacing legacy analytics infrastructure — all of which create immediate budget conversations. Vendors selling data observability, vector databases, workflow orchestration, or cloud compute should be prospecting these accounts now, before the stack decisions are finalized. The 17 open Account Executive roles across these 144 companies also suggests many are in growth mode, meaning their own sales tooling needs are expanding too.

Top Companies47 shown

CompanyIndustryHQ LocationSizeJobsLinks
Pantheon Data
pantheon-data.com
 Data Infrastructure and Analytics Leesburg, United States 501–1,000 38
USEReady
useready.com
 Data Infrastructure and Analytics New York, United States 501–1,000 26
Excelra
excelra.com
 Data Infrastructure and Analytics Iselin, United States 501–1,000 6
LightBox
lightboxre.com
 Data Infrastructure and Analytics New York, United States 501–1,000 5
Walmart Data Ventures
walmartdataventures.com
 Data Infrastructure and Analytics Bentonville, United States 201–500 28
Kavi Global
kaviglobal.com
 Data Infrastructure and Analytics Barrington, United States 201–500 8
Hammerspace
hammerspace.com
 Data Infrastructure and Analytics Redwood City, United States 201–500 15
Saras Analytics
sarasanalytics.com
 Data Infrastructure and Analytics Westborough, United States 201–500 9
LUMIQ
lumiq.ai
 Data Infrastructure and Analytics Noida, India 201–500 11
DataX
data-x.ai
 Data Infrastructure and Analytics Bangkok, Thailand 201–500 6
Nyla Technology Solutions
nylatechnologysolutions.com
 Data Infrastructure and Analytics Columbia, United States 51–200 77
AVILOO Battery Diagnostics
aviloo.com
 Data Infrastructure and Analytics Austria 51–200 36
Kharon
kharon.com
 Data Infrastructure and Analytics Los Angeles, United States 51–200 26
Dune
dune.com
 Data Infrastructure and Analytics Oslo, Norway 51–200 31
MotherDuck
motherduck.com
 Data Infrastructure and Analytics Seattle, United States 51–200 26
Protege
withprotege.ai
 Data Infrastructure and Analytics New York, United States 51–200 22
greenventory
greenventory.de
 Data Infrastructure and Analytics Freiburg im Breisgau, Germany 51–200 14
Prescience Decision Solutions (A Movate Company)
prescienceds.com
 Data Infrastructure and Analytics Bengaluru, India 51–200 13
Sennos
sennos.com
 Data Infrastructure and Analytics Durham, United States 51–200 7
Singular
singular.net
 Data Infrastructure and Analytics Palo Alto, United States 51–200 17
NorthGravity
northgravity.com
 Data Infrastructure and Analytics Chicago, United States 51–200 8
Genestack
genestack.com
 Data Infrastructure and Analytics Cambridge, United Kingdom 51–200 10
Kissterra
kissterra.com
 Data Infrastructure and Analytics Tel-Aviv, Israel 51–200 9
Promptly Health
promptlyhealth.com
 Data Infrastructure and Analytics Porto, Portugal 51–200 8
Infometry Inc
infometry.net
 Data Infrastructure and Analytics Fremont, United States 51–200 5
XponentL Data
xponentl.ai
 Data Infrastructure and Analytics Philadelphia, United States 51–200 4
Insurance Information Bureau of India
iib.gov.in
 Data Infrastructure and Analytics Hyderabad, India 51–200 4
ZONTAL
zontal.io
 Data Infrastructure and Analytics Billerica, United States 51–200 3
CAQH
caqh.org
 Data Infrastructure and Analytics Washington, United States 51–200 35
Elder Research
elderresearch.com
 Data Infrastructure and Analytics Charlottesville, United States 51–200 22
Loyalytics AI
loyalytics.ai
 Data Infrastructure and Analytics Bengaluru, India 51–200 17
Temedica
temedica.com
 Data Infrastructure and Analytics Munich, Germany 51–200 10
Greenpixie
greenpixie.com
 Data Infrastructure and Analytics Greater London, United Kingdom 11–50 15
ETFBOOK
etfbook.com
 Data Infrastructure and Analytics Zurich, Switzerland 11–50 13
RADaR Analytics
radar-analytics.com
 Data Infrastructure and Analytics Columbia, United States 11–50 8
Lightwave Logic, Inc.
lightwavelogic.com
 Data Infrastructure and Analytics Englewood, United States 11–50 8
Gauss & Neumann
g-n.com
 Data Infrastructure and Analytics Andorra 11–50 6
DataHow AG
datahow.ch
 Data Infrastructure and Analytics Zurich, Switzerland 11–50 6
ClaimReturn
claimreturn.com
 Data Infrastructure and Analytics Escondido, United States 11–50 17
Boon Solutions
boon.com.au
 Data Infrastructure and Analytics Perth, Australia 11–50 4
Decentriq
decentriq.com
 Data Infrastructure and Analytics Lake Zurich, United States 11–50 6
Ample Insight
ampleinsight.com
 Data Infrastructure and Analytics Toronto, Canada 11–50 5
Lexsi Labs
lexsi.ai
 Data Infrastructure and Analytics Tallahassee, United States 11–50 49
veli
veli-care.de
 Data Infrastructure and Analytics Kassel, Germany 11–50 6
Peliqan
peliqan.io
 Data Infrastructure and Analytics Ghent, Belgium 11–50 5
DHARMA-AI
dharma-ai.com
 Data Infrastructure and Analytics Rio de Janeiro, Brazil 11–50 5
HyLight
hylight.aero
 Data Infrastructure and Analytics France 2–10 8

144 companies use Python. Want the full list?

Export to CSV

Free account · no credit card required

Market Signal

905 open roles across 144 companies is a high ratio — averaging over 6 Python positions per company — which points to deep, structural hiring rather than opportunistic backfills. This level of investment indicates these companies are building Python into their core product or data stack, not experimenting with it.

Stack Intelligence

The combination of Airflow, FastAPI, and PyTorch alongside Python tells you these companies are running production-grade data pipelines and serving ML models via APIs — not just doing exploratory analysis. Django and Flask signal customer-facing data applications or internal tooling built on top of those pipelines. For sales teams, this stack profile points to buyers who need infrastructure that can handle both batch processing and real-time model serving.

Hiring Landscape

Python in the Market

Where and how companies hire Python talent

By Country

United States
67
United Kingdom
9
Germany
7
India
6
Brazil
5
Israel
5
Switzerland
5
Belgium
4

Top Roles

Data Engineer42Data Scientist30Software Engineer29Account Executive17Product Manager13Data Analyst12Devops Engineer11Customer Success Manager9Full Stack Developer9Product Marketing Manager8Sales Development Representative8Analytics Engineer7

Related Technologies

DjangoFastAPIPyTorchApache AirflowFlask
Take Action

See who’s actively building with Python

Open in echoloc →

Free account · no credit card required

Frequently Asked Questions

What is Python?

Python is the primary programming language used to build data pipelines, machine learning models, and analytics applications across modern tech stacks. In Data Infrastructure and Analytics, it functions as the connective tissue between raw data sources and business-ready outputs. Companies hiring Python talent here are operationalizing data — which means active procurement cycles for the tools that surround it.

Why should sales teams track Python hiring?

Python hiring in this sector is one of the strongest indicators that a company is mid-build on a data platform — meaning they have budget allocated and decisions in progress. A sales rep at a cloud data warehouse or pipeline monitoring company should treat any company with 5+ open Python roles as a warm inbound signal worth immediate outreach.

Who should be selling to companies that use Python?

Vendors best positioned here include cloud data platform providers, MLOps and model monitoring tools, workflow orchestration software, and data quality or observability solutions.