Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,159 postings in the last year. Stated ranges, not salaries paid.
Big Data/ Hadoop with AWS Cloud and Spark Experience
Madison, WI, United States
Open 4 months, first seen by us 128 days ago- Pay
- Pay not listedSimilar roles state $127K–$190K
- Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting- Employment
Contract — employment source
Employment type in the employer’s posting: Contract
From the employer’s posting
What you’ll work on
Full postingArchitect, design and develop cloud infrastructure and applications
Provide operational and technical expertise for the Big Data analytics platform
Research, design and deploy new tools and frameworks for the big data platform
From the employer’s posting
Responsible for architecting, designing and developing cloud infrastructure and applications
Provide operational and technical expertise to initiatives for the Big Data analytics platform
Researching, architecting, designing and deploying new tools, frameworks and patterns to build a sustainable big data platform.
What you’ll bring
All qualificationsCore experience
- 9+ years of experience
- AWS cloud
- Big Data Hadoop
- Spark
- HBase and Azure
Qualification wording
Min 9+ yrs
1. AWS cloud
2. Big Data Hadoop
3. Spark
4. HBase 5. Azure
Tools in this posting
- AWS
- Azure
- Hadoop
- Kafka
- Spark
Source — Tool mentions in context
Job Description: Must Have Skills: 1. AWS cloud 2. Big Data Hadoop 3. Spark 4. HBase 5. Azure Detailed Job Description: Responsible for architecting, designing and developing cloud infrastructure and applications. Provide operational and technical expertise to initiatives for the Big Data analytics platform, data and applications, addressing a broad range of technologies including Big Data Hadoop, Spark, Kafka, HBase, Cassandra, Eslatic Search on Linux hosted on Azure or AWS cloud.
Must Have Skills: 1. AWS cloud 2. Big Data Hadoop 3. Spark 4. HBase 5. Azure Detailed Job Description: Responsible for architecting, designing and developing cloud infrastructure and applications. Provide operational and technical expertise to initiatives for the Big Data analytics platform, data and applications, addressing a broad range of technologies including Big Data Hadoop, Spark, Kafka, HBase, Cassandra, Eslatic Search on Linux hosted on Azure or AWS cloud. Top 3 responsibilities you would expect the Subcon to shoulder and execute*: 1. Responsible for architecting, designing and developing cloud infrastructure and applications 2. Provide operational and technical expertise to initiatives for the Big Data analytics platform, data and applications, addressing a broad range of technologies including Big Data Hadoop, Spark, Kafka, HBase, Cassandra, Eslatic Search on Linux hosted on Azure or AWS cloud. 3. Researching, architecting, designing and deploying new tools, frameworks and patterns to build a sustainable big data platform.
Detailed Job Description: Responsible for architecting, designing and developing cloud infrastructure and applications. Provide operational and technical expertise to initiatives for the Big Data analytics platform, data and applications, addressing a broad range of technologies including Big Data Hadoop, Spark, Kafka, HBase, Cassandra, Eslatic Search on Linux hosted on Azure or AWS cloud. Top 3 responsibilities you would expect the Subcon to shoulder and execute*: 1. Responsible for architecting, designing and developing cloud infrastructure and applications 2. Provide operational and technical expertise to initiatives for the Big Data analytics platform, data and applications, addressing a broad range of technologies including Big Data Hadoop, Spark, Kafka, HBase, Cassandra, Eslatic Search on Linux hosted on Azure or AWS cloud. 3. Researching, architecting, designing and deploying new tools, frameworks and patterns to build a sustainable big data platform. Additional Information
Posting record
Report an errorOpen 4 monthsWe first saw this posting 128 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jul 3, 2026128 days ago
- Recorded sightings
- 82
- Last seen by us
- Nov 8, 2026
- Employer says posted
- Aug 17, 2017
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 128
Up longer than most. Similar jobs usually come down between day 6 and day 54.
From 11,525 similar postings that came down. Coming down is not always a hire.
TestingXperts is hiring
16 open jobs
- No new data jobs since July
- Its jobs tend to stay up a long time
Your next step
Check the employer’s posting for the current role and application details.
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Already applied? Track this application
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
Job Description
Hi
Hope you are doing great,
This is Siva Maddineni, currently we are looking for a Big Data || Madison WI (Only GC's or USC's)
At the time of Submission, I need VISA and ID proof.
Check with your consultants before submitting me. If they are comfortable with this requirement then only forward me.
Client: Infosys
Title: Big Data
Location: Madison WI (Only GC's or USC's)
Duration: 6 Months
Experience Need: Min 9+ yrs
Rate: $55-60/hr on w2
Job Description:
Must Have Skills:
1. AWS cloud
2. Big Data Hadoop
3. Spark
4. HBase
5. Azure
Detailed Job Description:
Responsible for architecting, designing and developing cloud infrastructure and applications. Provide operational and technical expertise to initiatives for the Big Data analytics platform, data and applications, addressing a broad range of technologies including Big Data Hadoop, Spark, Kafka, HBase, Cassandra, Eslatic Search on Linux hosted on Azure or AWS cloud.
Top 3 responsibilities you would expect the Subcon to shoulder and execute*:
1. Responsible for architecting, designing and developing cloud infrastructure and applications
2. Provide operational and technical expertise to initiatives for the Big Data analytics platform, data and applications, addressing a broad range of technologies including Big Data Hadoop, Spark, Kafka, HBase, Cassandra, Eslatic Search on Linux hosted on Azure or AWS cloud.
3. Researching, architecting, designing and deploying new tools, frameworks and patterns to build a sustainable big data platform.
Additional Information
All your information will be kept confidential according to EEO guidelines.
Company Description
We are directly work with Infosys.
Established in 1981, Infosys is a NYSE listed global consulting and IT services company with more than 198,000 employees. From a capital of US$ 250, we have grown to become a US$ 10.4 billion (LTM Q1 FY 18 revenues) company with a market capitalization of approximately US$ 34.50 billion.
In our journey of over 35 years, we have catalyzed some of the major changes that have led to India's emergence as the global destination for software services talent. We pioneered the Global Delivery Model and became the first IT Company from India to be listed on NASDAQ. Our employee stock options program created some of India's first salaried millionaires.
Read more about the defining moments in the history of Infosys.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Madison, WI, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
This is Siva Maddineni, currently we are looking for a Big Data || Madison WI (Only GC's or USC's) At the time of Submission, I need VISA and ID proof. Check with your consultants before submitting me. If they are comfortable with this requirement then only forward me.
AI answers unavailable
We couldn’t identify enough role detail in this saved description to support an AI answer. Read the full posting