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Big Data Engineer Jobs in Portland, OR (NOW HIRING)

Big Data Engineer

Portland, OR · On-site

$58.75 - $77.50/hr

Kafka, Rsyslog, Logstash, Splunk • Programming/Scripting : Java / Jetty, Python, Scala, PowerShell, C#, Bash • Build Tools/Repositories : Jenkins, Artifactory • Web Services Framework: Django ...

Big Data Architect

Hillsboro, OR

$69.50 - $89.25/hr

Role: Big Data Architect Location: Hillsboro, OR Duration: 6+ Months Skills Python, Spark, Map Reduce, Hive, Pig, HBase, Sqoop Hands on experience in Python Spark. At least 2 years Hands on ...

Lead Data Engineer

Beaverton, OR · On-site

$59.40 - $66/hr

Prior experience working within a large global consumer or retail organization (environment familiarity required) * 8-10+ years of experience in data engineering or big data environments * Strong ...

Big Data Laser Analyst Description - Job Summary We are seeking a highly analytical, business ... You will partner closely with data engineers and data scientists to improve data reliability ...

Print Supplies Big Data Analyst Description - Job Summary We are seeking a highly analytical ... In this role, you will partner closely with data engineers, data scientists, and the supplies ...

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Big Data Engineer information

See Portland, OR salary details

$16

$66

$93

How much do big data engineer jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for big data engineer in Portland, OR is $66.79, according to ZipRecruiter salary data. Most workers in this role earn between $56.83 and $75.19 per hour, depending on experience, location, and employer.

What does a Big Data Engineer do?

A Big Data Engineer designs, builds, and manages systems that process and store large volumes of data. They develop data pipelines, integrate data from various sources, and ensure that the infrastructure is scalable, reliable, and efficient. Their work enables organizations to analyze and derive insights from massive datasets, supporting decision-making and business intelligence. Big Data Engineers often work with technologies like Hadoop, Spark, and cloud platforms.

What are the key skills and qualifications needed to thrive as a Big Data Engineer?

To thrive as a Big Data Engineer, you need strong programming skills (often in Python, Java, or Scala), experience with data modeling, and a solid understanding of distributed computing and database systems, typically supported by a degree in computer science or a related field. Familiarity with big data tools and platforms like Hadoop, Spark, Kafka, and relevant cloud services, as well as certifications such as Cloudera or AWS Big Data, is also important. Analytical thinking, problem-solving ability, and effective communication are key soft skills that help bridge technical solutions with business needs. These skills are crucial for designing scalable data pipelines, ensuring efficient data processing, and delivering actionable insights that drive organizational success.

What are some common challenges Big Data Engineers face when working with large-scale data pipelines?

Big Data Engineers often encounter challenges related to optimizing data pipelines for scalability and reliability, especially as data volume and velocity increase. Issues like managing data consistency, handling schema changes, and ensuring low-latency data processing are frequent hurdles. Collaborating closely with data scientists and DevOps teams is crucial, as projects often require integrating diverse data sources and maintaining high data quality standards. Staying up-to-date with evolving big data technologies and best practices is essential to address these ongoing challenges effectively.
More about Big Data Engineer jobs
What are the most commonly searched types of Big Data Engineer jobs in Portland, OR? The most popular types of Big Data Engineer jobs in Portland, OR are:
What job categories do people searching Big Data Engineer jobs in Portland, OR look for? The top searched job categories for Big Data Engineer jobs in Portland, OR are:
Infographic showing various Big Data Engineer job openings in Portland, OR as of August 2026, with employment types broken down into 50% Temporary, and 50% Contract. Highlights an 100% Remote job distribution, with an average salary of $138,927 per year, or $66.8 per hour.

$58 - $76.75/hr

Full-time

Re-posted 3 days ago


Job description

  • Expert in Spark, Python scripting and strong in SQL
  • 5+ years processing large datasets on big data platform such as SPARK; Python EMR; Hadoop on AWS
  • 5+ years of experience architecting and building scalable Reporting and Advance Analytics solutions using Big Data technologies
  • Hands-on experience AIRFLOW; GLUE; AWS DataPipeline or similar services on AWS
  • Experience with Database solutions on cloud such as Redshift or Snowflake is preferable.
  • Proven experience building libraries, user defined functions and frameworks on Big Data Platform.
  • Experience with performance/scalability tuning, algorithms and computational complexity