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

Fortis Construction

Data Engineer

Portland, OR · On-site

$121K - $145K/yr

The Data Engineer is responsible for designing, building, and maintaining the infrastructure and ... Experience with big data processing technologies. * Experience with data visualization and ...

TestingXperts

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 ...

Hp

Big Data Laser Analyst

Vancouver, WA

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 ...

Hp

Print Supplies Big Data Analyst

Vancouver, WA · On-site

$105K - $161K/yr

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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How much do big data engineer jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for big data engineer in Portland, OR is $66.80, according to ZipRecruiter salary data. Most workers in this role earn between $56.88 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.
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Big Data Engineer jobs near you
Infographic showing various Big Data Engineer job openings in Portland, OR as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $138,927 per year, or $66.8 per hour.

Senior Big Data Engineer

BizTek People, Inc. | APA International Placement Consultants

Portland, OR • On-site

$59 - $78.25/hr

Contractor

Re-posted 9 days ago

Job description


Overview:
As a Sr. Big Data Engineer, you will work with a variety of talented teammates and be a driving force for building solutions for Digital.You will be working on projects related to consumer behavior, commerce, and consumer touchpoints
Responsibilities:
• Design and implement distributed data processing pipelines using Spark, Hive, Python, and other tools and languages prevalent in the Hadoop ecosystem.
• Ability to design and implement end to end solution.
• Experience publishing RESTful API's to enable real-time data consumption using OpenAPI specifications
• Experience with open source NOSQL technologies such as HBase, DynamoDB, Cassandra
• Familiar with Distributed Stream Processing frameworks for Fast & Big Data like ApacheSpark, Flink, Kafka stream
• Build utilities, user defined functions, and frameworks to better enable data flow patterns.
• Work with architecture/engineering leads and other teams to ensure quality solutions are implements, and engineering best practices are defined and adhered to.
• Experience in Business Rule management systems like Drools
Qualification:
• MS/BS degree in a computer science or related discipline
• 6+ years' experience in large-scale software development
• 3+ year experience in Big Data technologies
• Strong programming skills in Java/Scala, Python, Shell scripting, and SQL
• Strong development skills around Spark, MapReduce, and Hive
• Strong skills around developing RESTful API's

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