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Senior Amazon Data Engineer Jobs in Portland, OR

As a Senior Associate, you will build meaningful client connections and learn how to manage and ... Amazon Web Services (AWS) and Azure Data Factory to enhance data engineering capabilities ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

... as S3, Amazon RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud ... DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or ...

Lead Data Engineer

Beaverton, OR · On-site

$59.40 - $66/hr

Aug 10, 2026 Data Engineer IV (Senior / Lead Level) Location: Portland, OR (Hybrid - 4 days onsite, 1 remote) Type: Contract (with potential extension) Start: ASAP (urgent need) About the Role We're ...

... AI&Data including hands on experience with one of the following key platforms/products: Amazon ... senior stakeholders and engineers to bring measurable business impact from day one. Additional ...

Data Engineer I, II

Portland, OR · On-site +1

$78K - $110K/yr

Demonstrated analytical skills and ability to contribute to data driven solutions that address real business problems, with guidance from senior engineers when needed. * Working knowledge of Agile ...

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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 Aug 8, 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 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 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 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:
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.

Need Sr Big Data Engineer at Beaverton, OR Only W2

USM

Beaverton, OR

$58 - $76.75/hr

Contractor

Re-posted 29 days ago


Job description

Job Description

Hi,

We have immediate opportunity with our direct client send your resume asap upon your interest. Thank you.

Position: Sr Big Data Engineer

Location: Beaverton, OR.

Duration: Long Term

Skills

Typical Office: This is a typical office job, with no special physical requirements or unusual work environment.

Core responsibilities: Expert data engineers will work with product teams across client to help automate and integrate various of data domains with a wide variety of data profiles (different scale, cadence, and volatility) into client's next-gen data and analytics platform. This is an opportunity to work across multiple subject areas and source platforms to ingest, organize, and prepare data through cloud-native processes.

Required skills/experience:

- 5+ years of professional development experience between either Python (preferred) or Scala/Java; familiarity with both is ideal

- 5+ years of data-centric development with a focus on efficient data access and manipulation at multiple scales

- 3+ years of experience with the HDFS ecosystem of tools (any distro, Spark experience prioritized)

- 3+ years of significant experience developing within the broader AWS ecosystem of platforms and services

- 3+ years of experience optimizing data access and analysis in non-HDFS data platforms (Traditional RDMS's, NoSQL / KV stores, etc)

- Direct task development and/or configuration experience with a remote workflow orchestration tool - Airflow (preferred), Amazon Data Pipeline, Luigi, Oozie, etc.

- Intelligence, strong problem-solving ability, and the ability to effectively communicate to partners with a broad spectrum of experiential backgrounds

Several of the following skills are also desired:

- A demonstrably strong understanding of security and credential management between application / platform components

- A demonstrably strong understanding of core considerations when working with data at scale, in both file-based and database contexts, including SQL optimization

- Direct experience with Netflix Genie is another huge plus

- Prior experience with the operational backbone of a CI/CD environment (pipeline orchestration + configuration management) is useful

- Clean coding practices, passion for development, being a generally good team player, etc, etc (and experience with GitHub) is always nice

Keys to Success:

- Deliver exceptional customer service

- Demonstrate accountability and integrity

- Be willing to learn and adapt every day

- Embrace changeSkills

Regards
Nithya

Additional Information

All your information will be kept confidential according to EEO guidelines. please send the profiles to nithyar(at)usmsystems.com and contact No# 703-794-2380.