Companies using HDFS

11,585 companies in our data use HDFS, and 4,630 of them name it in job posts they wrote. Its share of job posts held steady in the three months to August 2026; 5,045 job posts named it from October 2025 to August 2026. Data engineering teams are its most common home.

Data as of November 9, 2026 · Markdown version

Which companies name HDFS in the most job posts?

Among the companies with the most job posts naming HDFS are Citi (872), Tata Consultancy Services (561) and Apple (491). Of the five companies in the table, Tata Consultancy Services has the most employees who list it on their profiles: 501.
Company Posts People Recent job post
Citi Finance and Insurance · first seen Jul 2022 872 218 "Expert-level knowledge of the Cloudera ecosystem, including Hadoop, HDFS, Hive, and Impala."senior java big data developer - avp, Nov 7, 2026
Tata Consultancy Services Professional Services · first seen Jul 2023 561 501 ", including HDFS, Hive, YARN, and related Big Data technologies."big data developer, Oct 27, 2026
Apple Scientific and Technical Services · first seen Jul 2022 491 154 "Data modelling and data architecture as optimised for large data patterns (efficient storage and query on HDFS, realtime query patterns in key-value stores, columnar schema design etc.)"Software Engineer (Distributed Systems, Java), Jun 17, 2026
EPAM Systems Professional Services · first seen Aug 2022 477 116 "Hands-on expertise in Big Data technology stacks such as Hadoop, Yarn, HDFS, MapReduce, Hive, Spark, Kafka"Senior Director of Data Delivery, Sep 15, 2026
CVS Health Health Care and Social Assistance · first seen Jul 2022 472 131 "leverage knowledge of Hadoop architecture, HDFS commands, and designing and optimizing queries to build data pipelines;"data engineer, Aug 25, 2026
Showing 1 to 5 of 4,630 companies with job posts Sign up to see all companies using HDFS ›

What else do we know about HDFS?

Is hiring for HDFS growing?

Demand for HDFS is steady: 2.5 in every 10,000 job posts from June to August 2026, close to the 2.6 of March to May. Its busiest month was November 2025, at 3.0.
Share of job posts naming HDFS by month, October 2025 to August 2026, in job posts in every 10,000 Moves from 2.8 in October 2025 to 2.4 in August 2026, in job posts in every 10,000. 3.4 2.6 1.7 0.86 0 2.4 Oct '25 Nov Dec Jan '26 Feb Mar Apr May Jun Jul Aug
Show the data
MonthJob posts naming HDFSAll job postsPer 10,000
Oct 20253961,413,6732.8
Nov 20255451,822,1193.0
Dec 20252971,236,1032.4
Jan 20265141,828,0022.8
Feb 20265191,856,6472.8
Mar 20264551,850,7112.5
Apr 20264581,728,8862.6
May 20264721,821,5092.6
Jun 20265431,909,4962.8
Jul 20264121,815,1802.3
Aug 20264341,835,6982.4

How many companies named HDFS in a job post for the first time in recent months?

HDFS showed up in job posts at 99 companies for the first time from June to August 2026, and 91 in the three months before. The 99 from June to August are 2.1% of all 4,630 companies whose job posts name it.
March to May 2026 91
June to August 2026 99
October 2025 to August 2026 368

Companies whose first job post naming it appeared in that period. Recruiters, staffing firms and job boards are left out.

How do we know which companies use HDFS?

Most of these companies come from employees' profiles: 60% have no job post naming HDFS. 1,278 show up in both job posts and employees' profiles.
How we know Companies Share
Job posts name HDFS
4,630 40%
Employees' profiles list HDFS
6,955 60%

11,585 companies. Each is counted once, under the strongest evidence we have for it.

What size are the companies that use HDFS?

By size, the biggest group of HDFS users is companies with 50 to 999 employees, at 40%. 2,663 of its companies have fewer than 50 employees.

Share of its companies Typical tech page

ShareTypical
Under 50 employees
23% 22%
50 to 999
40% 38%
1,000 to 5,000
20% 17%
Over 5,000
17% 23%

Where are HDFS companies based?

The United States has the most HDFS companies (46%), but India stands out: 9.7% of them, against 6.9% on the typical tech page. Its companies are based in 115 countries and territories.
ShareTypical
United States
46% 43%
India
9.7% 6.9%
France
5% 4.6%
United Kingdom
4.2% 6.4%
Canada
3.2% 3.6%
Spain
2.8% 1.8%

Companies in 115 countries and territories. Shares are of companies with a known headquarters country.

Show the data
CountryCompaniesShareTypical tech page
United States5,01046%43%
India1,0579.7%6.9%
France5475%4.6%
United Kingdom4594.2%6.4%
Canada3513.2%3.6%
Spain3062.8%1.8%

Which teams work with HDFS?

Data engineering teams are by far the most common home for HDFS, at 139 companies. Data teams are second, at 56 companies, and data science teams third, at 51.
Team Companies
Data engineering
139
Data
56
Data science
51
Data platform
43
IT
38
Data & analytics
33

What else do HDFS companies use?

Compared with companies of the same size, HDFS companies stand out for using Apache Oozie and Apache Flume. Among the tools listed here, Hive is the most widely used, at 72% of HDFS companies.

Share of the 2,814 HDFS companies counted here whose job posts also name the tool Typical for companies the same size

Tool Also name it Typical Times as common
Apache Oozie 405 companies
14% 0.3% 47x
Apache Flume 270 companies
9.6% 0.25% 39x
MapReduce 664 companies
24% 0.67% 35x
Apache HBase 1,138 companies
40% 1.2% 35x
Tool Also name it Typical Times as common
Apache Impala 640 companies
23% 0.68% 33x
Cloudera 874 companies
31% 1% 30x
Autosys 207 companies
7.4% 0.35% 21x
Hive 2,022 companies
72% 3.4% 21x

Which companies started naming HDFS in job posts recently?

From April to August 2026, 87 companies with 50 or more employees posted their first job naming HDFS: 55 commercial, 21 mid-market and 11 enterprise. Among the new commercial companies, Euclid Innovations posted the most jobs naming it: 5.
Commercial 50 to 999 employees · 55 new
Company Posts
TECEZE 4
Galent 3
Mid-market 1,000 to 5,000 employees · 21 new
Company Posts
Enterprise over 5,000 employees · 11 new
Company Posts

Companies that named HDFS in a job post for the first time between April and August 2026, ranked by their job posts in those months. AI-native companies get a group of their own, whatever their size. Recruiters and job boards are left out.

Which roles mention HDFS most?

Data Engineer is the most common role, in 31% of job posts naming HDFS. The top four roles cover 52% of these job posts.
Role Share Posts
Data Engineer
31% 1,571
Software Engineer
15% 776
Data Scientist
3% 150
Platform Engineer
2.8% 140
Site Reliability Engineer
2.5% 126
Data Architect
2.3% 117
Show the data
RoleShareOct 2025 to Aug 2026Mar to May 2026Jun to Aug 2026
Data Engineer31%1,571435410
Software Engineer15%776214215
Data Scientist3%1503627
Platform Engineer2.8%1402530
Site Reliability Engineer2.5%1263327
Data Architect2.3%1172926

Which project themes come up in HDFS job posts?

Setting aside broad digital transformation, Data Infrastructure Migration is the theme teams hiring for HDFS mention most, in 1,918 job posts. Broad digital transformation work shows up in 3,372 of its job posts.
Project theme Job posts
Digital Transformation 3,372
Data Infrastructure Migration 1,918
Cloud Migration 623
Cloud Cost Optimization 400
About this data

Sumble built this page. Sumble gives sales, marketing and other GTM teams technographics and hiring signals for the companies they sell to: the technologies each company uses, which teams are hiring and for what, and who reports to whom. That helps a team know who to contact, why now, and what to say.

Sumble covers more than 3.6 million companies, 93 million job posts collected since 2022 and 194 million employee profiles, and tracks more than 37,000 technologies. It finds which technologies a company uses by reading its job posts and its employees' public profiles.

Sumble has a free plan, and the same data is available through its API and MCP server.

A company counts when its own job posts or its employees' public profiles name the technology. Hiring is that technology's share of all job posts collected each month. Quotes are copied word for word from the companies' job posts.

Every figure on this page comes from Sumble's own analysis, and you won't find it outside Sumble.