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Big Data Manager Jobs in Oregon (NOW HIRING)

Kynite

AWS Data Engineer Snowflake

OR · On-site

$107K - $128K/yr

Blockchain, Cloud Services, Big Data & Analytics, Artificial Intelligence, Enterprise, Staff Augmentation and Managed Services * We are BigData Experts * We are Cloud Experts * We are Enterprise ...

Kynite

Enterprise Data Architect

OR · On-site +1

Blockchain, Cloud Services, Big Data & Analytics, Artificial Intelligence, Enterprise, Staff Augmentation and Managed Services * We are BigData Experts * We are Cloud Experts * We are Enterprise ...

WIZELINE

Senior Data Architect

Beaverton, OR · On-site

$70 - $93.75/hr

Partner with enterprise data management and strategy on business glossary implementation and ... Experience with big data and cloud with Databricks & Snowflake is preferred * Experience, interest ...

Verve

Data Engineer (Remote / Contract)

OR · On-site +1

$114K - $137K/yr

We are looking for a Data Engineer to join our engineering team to help us manage our diverse and ... Familiarity with Google Cloud or AWS big data products We're open to allowing the right person to ...

Netflix

Distributed Systems Engineer (L5) - Data Platform

OR · On-site +1

$114K - $137K/yr

Big Data Compute {Spark} The BDCS team is responsible for providing the cloud-native platform for ... Leading cross-functional initiatives and collaborating with engineers, product managers, and TPM ...

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Big Data Manager information

See Oregon salary details

$32.8K

$102.7K

$181.9K

How much do big data manager jobs pay per year?

As of Aug 30, 2026, the average yearly pay for big data manager in Oregon is $102,710.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,800.00 and $132,700.00 per year, depending on experience, location, and employer.

What is a big data manager?

A Big Data Manager is a professional responsible for overseeing the collection, storage, analysis, and use of large and complex data sets within an organization. They manage teams of data engineers, analysts, and scientists to ensure data is processed efficiently and securely. Big Data Managers also develop strategies to leverage data for business insights, make technology decisions, and ensure compliance with data governance policies. Their role bridges the gap between business objectives and technical solutions in the realm of big data.

What are the key skills and qualifications needed to thrive as a big data manager?

To thrive as a Big Data Manager, you need expertise in data architecture, analytics, database management, and a strong background in computer science or a related field. Familiarity with big data platforms like Hadoop, Spark, and tools such as SQL, NoSQL databases, and relevant certifications (e.g., AWS Big Data Specialty) is highly beneficial. Exceptional leadership, problem-solving, and communication skills help in managing teams and translating business goals into technical solutions. These skills are crucial for efficiently overseeing large-scale data projects and ensuring data-driven decision-making aligns with organizational objectives.

What are some common challenges big data managers face when leading cross-functional teams?

Big Data Managers often navigate challenges such as aligning diverse technical expertise, ensuring clear communication across departments, and managing competing priorities between data science, engineering, and business stakeholders. They must balance the strategic vision with practical constraints like data privacy, scalability, and project deadlines. Successful managers foster collaboration by setting clear expectations, facilitating regular check-ins, and promoting a shared understanding of project goals.

What is the difference between Big Data Manager vs Data Analyst?

AspectBig Data ManagerData Analyst
Required CredentialsBachelor's/Master's in Computer Science, Data Science, or related fields; often certifications in big data toolsBachelor's in Statistics, Data Science, or related fields; certifications in data analysis tools
Work EnvironmentLeads teams, manages data infrastructure, oversees big data projectsAnalyzes data sets, creates reports, visualizations for insights
Employer & Industry UsageUsed in tech, finance, healthcare industries managing large-scale data systemsCommon across various industries for data-driven decision making

The Big Data Manager focuses on overseeing big data infrastructure, managing teams, and ensuring data systems operate efficiently. In contrast, Data Analysts primarily interpret data, generate reports, and provide insights. Both roles require strong technical skills, but their responsibilities and focus areas differ significantly.

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

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

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

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

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

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

What cities in Oregon are hiring for Big Data Manager jobs?

Cities in Oregon with the most Big Data Manager job openings:

Big Data Manager jobs near you

Senior Big Data Engineer

BizTek People, Inc. | APA International Placement Consultants

Portland, OR • On-site

$59 - $78.25/hr

Contractor

Re-posted 10 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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