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COMPANIES USING

Insurance Companies Using Apache Spark

112 companies in Insurance are hiring Apache Spark talent.

Apache Spark is a distributed data processing engine used to run large-scale analytics, machine learning pipelines, and real-time data workflows. When insurance companies hire for Spark, they're signaling investment in modernizing actuarial modeling, claims analytics, or fraud detection infrastructure. These companies are almost certainly evaluating or already purchasing cloud data platforms, orchestration tools, and streaming infrastructure to support those pipelines.

Buying Signal

A Spark hire in insurance typically means a company is moving off legacy batch processing systems toward faster, more scalable data architecture — often tied to a core transformation initiative. They're likely buying or expanding contracts with cloud data warehouses, MLOps platforms, or real-time event streaming tools. SDRs selling data infrastructure, cloud migration services, or analytics platforms should treat these job postings as a shortlist trigger.

Top Companies49 shown

CompanyIndustryHQ LocationSizeJobsLinks
Tata AIA Life Insurance
tataaia.com
Insurance Mumbai, India 5,001+ 247
Kemper
kemper.com
Insurance Chicago, United States 5,001+ 519
CNP Assurances
cnp.fr
Insurance Issy-les-Moulineaux, France 5,001+ 259
Blue Shield of California
blueshieldca.com
Insurance Oakland, United States 5,001+ 214
die Mobiliar
mobiliar.ch
Insurance Bern, Switzerland 5,001+ 131
FWD Insurance
fwd.com
Insurance Hong Kong, China 5,001+ 92
Allianz Australia
allianz.com.au
Insurance Sydney, Australia 5,001+ 157
Blue Cross Blue Shield of Michigan
bcbsm.com
Insurance Detroit, United States 5,001+ 67
CRC Group
crcgroup.com
Insurance Charlotte, United States 5,001+ 47
CorVel Corporation
corvel.com
Insurance Irvine, United States 1,001–5,000 427
Great Eastern
greateasternlife.com
Insurance Singapore 1,001–5,000 283
RBC Insurance
rbcinsurance.com
Insurance Mississauga, Canada 1,001–5,000 211
HSB - Hartford Steam Boiler
hsb.com
Insurance Hartford, United States 1,001–5,000 146
Ascot Group
ascotgroup.com
Insurance Bermuda 1,001–5,000 136
OdontoPrev
odontoprev.com.br
Insurance Brazil 1,001–5,000 106
AmeriLife
amerilife.com
Insurance Clearwater, United States 1,001–5,000 85
InsuranceDekho
insurancedekho.com
Insurance Gurgaon, India 1,001–5,000 73
Income Insurance Limited
income.com.sg
Insurance Singapore, Singapore 1,001–5,000 127
Genworth
genworth.com
Insurance Glen Allen, United States 1,001–5,000 169
USLI
usli.com
Insurance Wayne, United States 1,001–5,000 60
Intact Insurance Specialty Solutions
intactspecialty.com
Insurance Plymouth, United States 1,001–5,000 63
Prima
helloprima.com
Insurance Milan, Italy 1,001–5,000 129
Prudential Hong Kong
prudential.com.hk
Insurance Hong Kong, China 1,001–5,000 86
CopperPoint Insurance Companies
copperpoint.com
Insurance Phoenix, United States 501–1,000 245
Kin Insurance
kin.com
Insurance Chicago, United States 501–1,000 109
Cinch Home Services
cinchhomeservices.com
Insurance Boca Raton, United States 501–1,000 35
The Mutual Group
themutualgroup.com
Insurance West Des Moines, United States 201–500 251
Pryor Associates Executive Search
ppryor.com
Insurance Hicksville, United States 2–10 84
GEICO
gei.co
Insurance Washington, United States 10,001+ 1,692
Humana
humana.com
Insurance Louisville, United States 10,001+ 1,155
Chubb
chubb.com
Insurance Zurich, Switzerland 10,001+ 1,512
Manulife
manulife.com
Insurance Toronto, Canada 10,001+ 1,177
Zurich Insurance
zurich.com
Insurance Zurich, Switzerland 10,001+ 1,522
Brown & Brown
bbrown.com
Insurance Daytona Beach, United States 10,001+ 614
MetLife
metlife.com
Insurance New York, United States 10,001+ 686
Travelers
travelers.com
Insurance New York, United States 10,001+ 605
Intact
intactfc.com
Insurance Toronto, Canada 10,001+ 652
AIG
aig.com
Insurance New York, United States 10,001+ 977
Lockton
lockton.com
Insurance Wethersfield, United States 10,001+ 637
QBE Insurance
qbe.com
Insurance Sydney, Australia 10,001+ 607
Mapfre
mapfre.com
Insurance Majadahonda, Spain 10,001+ 410
Porto
porto.vc
Insurance São Paulo, Brazil 10,001+ 327
AXA
axa.com
Insurance Paris, France 10,001+ 485
Munich Re
munichre.com
Insurance Munich, Germany 10,001+ 374
American Family Insurance
amfam.com
Insurance Madison, United States 10,001+ 562
China Pacific Insurance Company
cpic.com.cn
Insurance Pudong, China 10,001+ 627
Aviva
aviva.com
Insurance Greater London, United Kingdom 10,001+ 155
ERGO
ergo.com
Insurance Dusseldorf, Germany 10,001+ 284
Axis Max Life Insurance Limited
axismaxlife.com
Insurance Gurgaon, India 10,001+ 92

112 companies use Apache Spark. Want the full list?

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Market Signal

With 112 insurance companies actively hiring Spark talent across nearly 20,000 open roles, this isn't exploratory — it's a category-wide infrastructure shift. The volume points to sustained, funded investment rather than one-off technical experiments.

Stack Intelligence

Insurance companies hiring for Spark almost always pair it with Databricks, Kafka, and Hadoop, which reveals a stack built for high-volume, real-time and batch data processing — common in claims pipelines and risk scoring. Python and Scala presence confirms these teams are building production-grade ML models, not just running ad hoc queries. For vendors, this combination is a strong signal that the company is deep enough in data maturity to be a serious buyer of enterprise tooling.

Hiring Landscape

Apache Spark in the Market

Where and how companies hire Apache Spark talent

By Country

United States
42
Brazil
7
China
7
Canada
5
France
5
Germany
5
India
5
Switzerland
5

Top Roles

Data Engineer62Data Scientist46Software Engineer38Underwriter38Data Analyst37Business Analyst33Actuarial Analyst32Project Manager31Product Manager30Product Owner27Actuary26Claims Adjuster22
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Frequently Asked Questions

What is Apache Spark?

Apache Spark is a data processing framework that allows companies to run fast analytics and machine learning at scale across large datasets. In insurance, it powers use cases like fraud detection, risk modeling, and customer segmentation. Companies hiring for it are actively building or scaling data infrastructure.

Why should sales teams track Apache Spark hiring?

Spark hiring is a reliable leading indicator that a company is expanding its data stack and has budget allocated for related tooling. An insurer hiring five Spark engineers in a quarter is likely also evaluating platforms for data orchestration, storage, and model deployment — all active sales opportunities.

Who should be selling to companies that use Apache Spark?

Vendors best positioned to target these companies include cloud data platform providers, MLOps and model governance vendors, data integration and pipeline tooling companies, and professional services firms specializing in data engineering.