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Senior Amazon Data Engineer Jobs in Portland, OR

Deloitte

Lead Forward Deployed Engineer - AWS

Portland, OR · On-site

$108K - $143K/yr

Work you'll do As an AWS AI&Data FDE, you will work side by side with senior functional and ... Amazon Bedrock, Bedrock AgentCore, Strands Agents SDK, Knowledge Bases, Guardrails * 1+ years of ...

Deloitte

Forward Deployed Engineer- AWS

Portland, OR · On-site

Work you'll do As an AWS AI&Data FDE, you will work side by side with senior functional and ... Amazon Bedrock, Bedrock AgentCore, Strands Agents SDK, Knowledge Bases, Guardrails * 1+ years of ...

Pay Lynxs

Senior Data Integration Engineer

Portland, OR · On-site

$110 - $165/hr

PayLynxs is hiring a Senior Data Integration Engineer to join our team in Portland, Oregon! Description We are looking for a hands-on Senior DevOps Engineer to be part of our DevOps team, with a ...

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All JobsAmazon Data Engineer JobsSenior Amazon Data Engineer JobsSenior Amazon Data Engineer Jobs in Portland, OR

Senior Amazon Data Engineer information

See Portland, OR salary details

$85.9K

$134K

$185.6K

How much do senior amazon data engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for senior amazon data engineer in Portland, OR is $133,972.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,400.00 and $152,700.00 per year, depending on experience, location, and employer.

What does a senior Amazon data engineer do?

A Senior Amazon Data Engineer is responsible for designing, building, and maintaining large-scale data processing systems on Amazon Web Services (AWS) infrastructure. They work with big data technologies, such as Amazon Redshift, AWS Glue, and Amazon S3, to ensure data is efficiently collected, stored, and made accessible for analytics and business intelligence. Additionally, they often lead data engineering teams, optimize data pipelines for performance, and ensure data quality and security standards are met.

What are some common challenges faced by senior Amazon data engineers when working with large-scale datasets?

Senior Amazon Data Engineers often encounter challenges related to optimizing the performance of data pipelines and ensuring data quality at scale. Managing and transforming massive volumes of data requires expertise in distributed systems, efficient data modeling, and automating data validation processes. Additionally, collaborating with cross-functional teams—such as data scientists, analysts, and software engineers—means balancing differing requirements and priorities while maintaining robust, scalable solutions. Staying current with evolving AWS services and best practices is also essential to address these challenges effectively.

What are the key skills and qualifications needed to thrive as a senior Amazon data engineer, and why are they important?

To thrive as a Senior Amazon Data Engineer, you need advanced proficiency in data modeling, ETL development, SQL, and experience with large-scale data architectures, typically supported by a computer science degree or equivalent. Expertise in AWS services (such as Redshift, S3, Glue), programming languages like Python or Java, and relevant certifications (e.g., AWS Certified Data Analytics) are commonly required. Strong problem-solving abilities, effective communication, and leadership skills distinguish top performers in this role. These skills ensure the efficient design, implementation, and optimization of complex data solutions that drive business insights and support organizational goals.

What is the difference between Senior Amazon Data Engineer vs Amazon Data Engineer?

AspectSenior Amazon Data EngineerAmazon Data Engineer
Required CredentialsTypically requires 5+ years experience, advanced SQL, AWS certificationsEntry to mid-level, foundational SQL, AWS certifications beneficial
Work EnvironmentDesigning complex data pipelines, mentoring, strategic projectsBuilding and maintaining data pipelines, data analysis
Employer & Industry UsageUsed in large-scale data teams within Amazon and similar tech companiesCommon in tech companies, e-commerce, and cloud service providers

The main difference between a Senior Amazon Data Engineer and an Amazon Data Engineer lies in experience, responsibilities, and project complexity. Senior roles involve strategic planning, mentoring, and handling complex data systems, while entry-level roles focus on building and maintaining data pipelines. Both roles require AWS knowledge and data engineering skills, but senior positions demand more experience and leadership capabilities.

What are the most commonly searched types of Amazon Data Engineer jobs in Portland, OR?

The most popular types of Amazon Data Engineer jobs in Portland, OR are:

What are popular job titles related to Senior Amazon Data Engineer jobs in Portland, OR?

For Senior Amazon Data Engineer jobs in Portland, OR, the most frequently searched job titles are:

What job categories do people searching Senior Amazon Data Engineer jobs in Portland, OR look for?

The top searched job categories for Senior Amazon Data Engineer jobs in Portland, OR are:

Senior Amazon Data Engineer jobs near you
Infographic showing various Senior Amazon Data Engineer job openings in Portland, OR as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $133,972 per year, or $64.4 per hour.

Senior Data Engineer

BizTek People, Inc. | APA International Placement Consultants

Beaverton, OR • On-site

$110K - $149K/yr

Contractor

Re-posted 24 days ago

Job description


Responsibilities
• Design and implement distributed data processing pipelines using Spark, Hive, Sqoop, Python, and other tools and languages prevalent in the Hadoop ecosystem.Ability to design and implement end to end solution.
• Build utilities, user defined functions, and frameworks to better enable data flow patterns.
• Research, evaluate and utilize new technologies/tools/frameworks centered around Hadoop and other elements in the Big Data space.
• Build and incorporate automated unit tests, participate in integration testing efforts.
• Work with teams to resolving operational & performance issues
• Work with architecture/engineering leads and other teams to ensure quality solutions are implements, and engineering best practices are defined and adhered to.
Qualifications
• MS/BS degree in a computer science field or related discipline
• 6+ years' experience in large-scale software development
• 2+ year experience in Hadoop
• 2+ year experience in Data Science
• Strong development skills around Hadoop, Spark, MapReduce, Hive
• Strong Java programming, Python, shell scripting, and SQL
• Good understanding of file formats including Parquet, Avro, JSON and others
• Good understanding of R, TensorFlow, SAS or similar
• Experience with performance/scalability tuning, algorithms and computational complexity
• Experience (at least familiarity) with data warehousing, dimensional modeling and ETL development
• Proven ability to work cross functional teams to deliver appropriate resolution
Nice to have
• Experience with AWS components and services, particularly, EMR, S3, and Lambda
• Front end UI development experience, specifically Node JS or Angular JS
• Machine learning frameworks

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