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Remote Hadoop Jobs in Oregon (NOW HIRING)

Experience with the Hadoop and/or Spark ecosystem for setup, administration, troubleshooting and ... Some knowledge in ML Ops What does the hiring process look like? #LI-Remote #LI-AN1 * Initial call ...

Experience with the Hadoop and/or Spark ecosystem for setup, administration, troubleshooting and ... Some knowledge in ML Ops What does the hiring process look like? #LI-Remote #LI-AN1 * Initial call ...

Fri remote) for candidates in the Kansas City area and open to qualified remote candidates outside ... frameworks (Hadoop, Spark). * Experience with BI tools (PowerBI, Tableau) and data analytics ...

Data Engineer (L5) - Ads

OR · On-site +1

$380K - $610K/yr

... Hadoop Knowledge in data modeling and establishing data architecture across multiple systems Thrive in a fast paced environment, and see yourself as a partner with the business with the shared goal ...

Data Engineer (Remote / Contract)

OR · On-site +1

$114K - $137K/yr

This is a fully remote, 40-hour per week contract position with the opportunity to shape the future of advertising technology. This position is a contract role and can work remotely anywhere in the ...

Sr. Data Engineer

OR · On-site +1

$100K - $150K/yr

This role is remote-friendly and reports to the Manager, Data & Analytics Engineering. As a Sr. Data Engineer, your primary responsibility is to stay one step ahead of your fellow team members by ...

FDE Data Engineer- Space (FedD141/FedD147)

OR · On-site +1

$114K - $137K/yr

Most of the work is remote. You'll travel to sites when the engagement calls for it: initial standup, integration work, incident response, training and knowledge transfer. The rest of the time, you ...

Data Engineer (L5)

OR · On-site +1

$380K - $610K/yr

We are considering candidates who are willing to relocate to Los Gatos, California, as well as fully-remote candidates (remote in the US with occasional visits to Los Gatos) depending on the team ...

Distributed Systems Engineer (L5) - Data Platform

OR · On-site +1

$114K - $137K/yr

In addition, we are open to remote candidates. We value what you can do, from anywhere in the U.S Spotlight on Data Platform Teams: Big Data Compute {Spark} The BDCS team is responsible for providing ...

Distributed Systems Engineer (L4) - Data Platform

OR · On-site +1

$114K - $137K/yr

In addition, we are open to remote candidates. We value what you can do from anywhere in the U.S Spotlight on Data Platform Teams: Storage and Movement Infrastructure The Storage and Movement ...

Remote Hadoop information

See Oregon salary details

$10

$63

$77

How much do remote hadoop jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for remote hadoop in Oregon is $63.32, according to ZipRecruiter salary data. Most workers in this role earn between $60.24 and $69.13 per hour, depending on experience, location, and employer.

What is a remote Hadoop?

A Remote Hadoop job involves working with Hadoop, a big data processing framework, from a remote location. Professionals in this role manage, maintain, and optimize Hadoop ecosystems, including HDFS, MapReduce, Hive, and Spark. Responsibilities may include data processing, performance tuning, and troubleshooting. These roles are common in industries that handle large-scale data processing, such as finance, healthcare, and e-commerce. Remote Hadoop jobs require expertise in distributed computing, programming (Java, Python, or Scala), and cloud platforms like AWS or Azure.

What does a typical workday look like for someone in a remote Hadoop position?

A typical workday for a Remote Hadoop professional involves maintaining, optimizing, and monitoring Hadoop clusters, as well as developing and deploying data processing workflows using Hadoop ecosystem tools. You’ll likely participate in daily stand-up meetings with cross-functional teams, troubleshoot data ingestion issues, and collaborate with data engineers and analysts to meet project goals. Much of the communication happens through video calls, chat platforms, and project management tools, making effective virtual collaboration a key part of the role. Task priorities often shift based on data volume, system performance needs, and business requirements, so adaptability and proactive problem-solving are important for success in this remote position.

What are the key skills and qualifications needed to thrive in the remote Hadoop position, and why are they important?

To thrive as a Remote Hadoop professional, you need a strong background in big data management, distributed computing, and proficiency in Hadoop ecosystem tools such as HDFS, MapReduce, Hive, and Spark. Familiarity with cloud platforms (like AWS EMR or Azure HDInsight), scripting languages (like Python or Scala), and certifications such as Cloudera Certified Associate (CCA) or Hortonworks are often highly valued. Excellent problem-solving abilities, self-motivation, and effective virtual communication skills are essential for remote collaboration and troubleshooting. These skills enable professionals to efficiently manage large-scale data processing, ensure system stability, and contribute to distributed teams from a remote environment.

What are popular job titles related to Remote Hadoop jobs in Oregon?

For Remote Hadoop jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Remote Hadoop jobs in Oregon look for?

The top searched job categories for Remote Hadoop jobs in Oregon are:

DataStax Cassandra Solutions Architect

Arka Infotech Inc

OR • On-site, Remote

Contractor

Re-posted 21 days ago


Job description

Job Description

DataStax Cassandra Solutions Architect
Nationwide w/ remote
Start: ASAP = INTERVIEW IMMEDIATELY!
Duration: 6+ months
Visa Status:  USC, GC or H1B
DATASTAX EXPERIENCE IS A HUGE PLUS +++++
He or she needs to be able to program, preferably in different programming/scripting languages such as CQL for Cassandra, Python, R, Java, Ruby, Clojure, Matlab, Pig or SQL, NOSQL
They need to have an understanding of Hadoop, DataStax Cassandra, Apache Spark, DSE, Solr, HBase, Pig, Hive, Sqoop, MongoDB and/or MapReduce, High Performance Computing, Data Mining and Analysis, Information Life Cycle Management, Map Reduce Programming and Intelligence, Pearl, PHP, Java, C++, Rendering, MapReduce, Scientific Computational Enterprises, Big Data Analytics, SQL, NoSQL, WebSphere
In addition he or she needs to be familiar with disciplines like text mining, clustering analysis, recommendation analysis, outlier detection, predictive analytics or similarity searches as well as different modelling techniques
Should also have experience with one of the large cloud-computing infrastructure solutions like Amazon Web Services or Elastic MapReduce.
They are looking for experience with Spark,  Solr, Enterprise version of DataStax
They like to see the following as well:  Installations, Tuning, & Analytics
Java Garbage Collector & Java Data Structures sometimes comes up in conversation as well.

Qualifications

BS Degree

Additional Information

All your information will be kept confidential according to EEO guidelines.