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 Architect
Hillsboro, OR, 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
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingDesign systems that ingest large data sets into Hadoop ecosystems
Validate and enrich incoming data
Distribute large volumes of processed data to SQL and other applications
From the employer’s posting
Build and support design for ingesting large data sets into Hadoop ecosystems
validating enriching the data
distributing significant amounts of that data to SQL and to other applications
What you’ll bring
All qualificationsCore experience
- At least 2 years hands-on experience in the Big Data ecosystem (HDFS, MapReduce, Hive, HBase)
- Hands-on experience in Python and Spark
- Working experience with large-scale Hadoop environments
- Skills in Pig, Sqoop, and MapReduce
- Graduate degree
Qualification wording
At least 2 years Hands on experience in the Big Data ecosystem HDFS, Map Reduce, Hive, HBase, etc.
Hands on experience in Python Spark.
Working experience with large scale Hadoop environments.
Skills Python, Spark, Map Reduce, Hive, Pig, HBase, Sqoop
Graduate
Tools in this posting
- Python
- SQL
- Hadoop
- Hive
- Spark
Source — Tool mentions in context
Job Description: · Skills Python, Spark, Map Reduce, Hive, Pig, HBase, Sqoop Hands on experience in Python Spark. · At least 2 years Hands on experience in the Big Data ecosystem HDFS, Map Reduce, Hive, HBase, etc.
· Experience working on large data sets Working experience with large scale Hadoop environments. · Build and support design for ingesting large data sets into Hadoop ecosystems, validating enriching the data, and distributing significant amounts of that data to SQL and to other applications. Qualifications
· At least 2 years Hands on experience in the Big Data ecosystem HDFS, Map Reduce, Hive, HBase, etc. · Experience working on large data sets Working experience with large scale Hadoop environments. · Build and support design for ingesting large data sets into Hadoop ecosystems, validating enriching the data, and distributing significant amounts of that data to SQL and to other applications.
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
- Dec 30, 2016
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 11,581 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.
Applying through SmartRecruiters
- Uploading your resume fills in the application form for you, so check what it filled before you send.
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
Role: Big Data Architect
Location: Hillsboro, OR
Duration: 6+ Months
Job Description:
· Skills Python, Spark, Map Reduce, Hive, Pig, HBase, Sqoop Hands on experience in Python Spark.
· At least 2 years Hands on experience in the Big Data ecosystem HDFS, Map Reduce, Hive, HBase, etc.
· Experience working on large data sets Working experience with large scale Hadoop environments.
· Build and support design for ingesting large data sets into Hadoop ecosystems, validating enriching the data, and distributing significant amounts of that data to SQL and to other applications.
Qualifications
Graduate
Additional Information
All your information will be kept confidential according to EEO guidelines.
Company Description
Greetings for the day!
My name is Suneetha from Testing Xperts, we are a global staffing, consulting and technology solutions company, offering industry-specific solutions to our fortune 500 clients and worldwide corporations.
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
Hillsboro, OR, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
AI answers unavailable
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