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Senior Big Data Engineer Jobs in Oregon (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 ...

Concora Credit Inc.

Sr. Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

As our Sr. Data Engineer , you'll help drive Concora Credit's Mission to enable customers to Do More with Credit - every single day. The impact you'll have at Concora Credit: As a Sr. Data Engineer ...

Concora Credit Inc.

Sr. Data Engineer

Beaverton, OR

$119K - $143K/yr

Overview As our Sr. Data Engineer , you'll help drive Concora Credit's Mission to enable customers to Do More with Credit - every single day. The impact you'll have at Concora Credit: As a Sr. Data ...

Concora Credit Inc.

Sr. Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

Overview As our Sr. Data Engineer , you'll help drive Concora Credit's Mission to enable customers to Do More with Credit - every single day. The impact you'll have at Concora Credit: As a Sr. Data ...

Wheelhouse

Senior Data Engineer

OR · On-site +1

$105K - $143K/yr

We are looking for a Senior Data Engineer to take ownership of this massive daily ingestion engine ... You see the big picture and understand the cascading effects of your changes. Stays calm under ...

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Senior Big Data Engineer information

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How much do senior big data engineer jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for senior big data engineer in Oregon is $66.59, according to ZipRecruiter salary data. Most workers in this role earn between $56.68 and $74.95 per hour, depending on experience, location, and employer.

What is a senior big data engineer?

Senior Big Data Engineers are advanced-level professionals who design, build, and maintain large-scale data processing systems. They work with technologies such as Hadoop, Spark, and NoSQL databases to handle massive amounts of data efficiently. Their responsibilities often include optimizing data pipelines, ensuring data quality, and collaborating with data scientists and analysts to support business needs. Senior Big Data Engineers also mentor junior team members and help drive architectural decisions related to data infrastructure.

What skills and qualifications are needed to be a senior big data engineer?

To thrive as a Senior Big Data Engineer, you need advanced expertise in data architecture, distributed computing, and programming languages such as Java, Scala, or Python, typically backed by a degree in computer science or a related field. Familiarity with big data technologies like Hadoop, Spark, Kafka, and cloud platforms, as well as relevant certifications (e.g., Cloudera, AWS), is highly valuable. Strong problem-solving, communication, and leadership skills set outstanding candidates apart, especially when collaborating with cross-functional teams. These competencies are critical for designing scalable data solutions, ensuring data quality, and driving impactful business insights.

How does a senior big data engineer collaborate with data scientists and business stakeholders?

As a Senior Big Data Engineer, you'll frequently work alongside data scientists to design and maintain data pipelines that ensure reliable and accessible data for modeling and analytics. Collaboration with business stakeholders is also essential, as you'll help translate business requirements into technical data solutions, ensuring that data architecture supports organizational goals. Regular meetings, code reviews, and cross-team project planning are common, making strong communication and a collaborative mindset vital for success in this role.

What is the difference between Senior Big Data Engineer vs Data Architect?

AspectSenior Big Data EngineerData Architect
CredentialsBachelor's/Master's in CS, Data Science, or related; experience with Hadoop, SparkBachelor's/Master's in CS, Data Science, or related; certifications like TOGAF, cloud architecture
Work EnvironmentDevelops, implements, and maintains data pipelines and systemsDesigns overall data infrastructure and architecture strategy
Employer & Industry UsageTech companies, finance, healthcare, retailLarge enterprises, consulting firms, cloud providers
Search & Comparison IntentUnderstanding technical roles, skills, and responsibilitiesFocus on data system design and strategic planning

While both roles work with data systems, a Senior Big Data Engineer primarily develops and maintains data pipelines and systems, whereas a Data Architect designs the overarching data infrastructure and strategy. The roles often collaborate but differ in scope and focus within data management.

What are the most commonly searched types of Big Data Engineer jobs in Oregon?

The most popular types of Big Data Engineer jobs in Oregon are:

What are popular job titles related to Senior Big Data Engineer jobs in Oregon?

For Senior Big Data Engineer jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Senior Big Data Engineer jobs in Oregon look for?

The top searched job categories for Senior Big Data Engineer jobs in Oregon are:

What cities in Oregon are hiring for Senior Big Data Engineer jobs?

Cities in Oregon with the most Senior Big Data Engineer job openings:

Senior Big Data Engineer jobs near you
Infographic showing various Senior Big Data Engineer job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $138,505 per year, or $66.6 per hour.

Senior Big Data Engineer

BizTek People, Inc. | APA International Placement Consultants

Portland, OR • On-site

$59 - $78.25/hr

Contractor

Re-posted 12 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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