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Entry Level Aws Data Engineer Jobs in Portland, OR

CFS

Data Strategy & Analytics Consultant

Portland, OR · On-site

Experience with cloud data platforms and migration initiatives (Azure, AWS, or similar) * Strong ... Data Analyst, BI Developer, Data Engineer, Solutions Architect, or Systems Administrator with ...

AditiStaffing

Devops/ AWS Engineer

Beaverton, OR

$55 - $75.25/hr

RedHat) Assisting developers in debugging application build, deployment and connectivity issues Experience with AWS services such as EC2, s3, EFS, Data Pipeline, RDS, Route 53 Experience with ...

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All JobsAws Data Engineer JobsEntry Level Aws Data Engineer JobsEntry Level Aws Data Engineer Jobs in Portland, OR

Entry Level Aws Data Engineer information

See Portland, OR salary details

$47.2K

$137.6K

$188.2K

How much do entry level aws data engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for entry level aws data engineer in Portland, OR is $137,565.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,400.00 and $145,800.00 per year, depending on experience, location, and employer.

What does an entry level AWS data engineer do?

An Entry Level AWS Data Engineer is responsible for helping to design, build, and maintain data pipelines and infrastructure in Amazon Web Services (AWS) environments. They work with data storage tools like Amazon S3, databases such as Amazon RDS or Redshift, and data processing services like AWS Glue or EMR. Their role often involves data extraction, transformation, and loading (ETL), ensuring data is accessible and usable for analytics and business needs. They typically collaborate with data scientists, analysts, and senior engineers while following best practices for cloud security and scalability.

What are the key skills and qualifications needed to thrive as an entry level AWS data engineer?

To thrive as an Entry Level AWS Data Engineer, you need a solid understanding of data structures, SQL, Python or similar programming languages, and a basic grasp of cloud computing concepts, ideally supported by a relevant degree or coursework. Familiarity with AWS services such as S3, Redshift, Glue, and data visualization or ETL tools, along with certifications like AWS Certified Data Analytics – Specialty, is highly valuable. Strong problem-solving abilities, attention to detail, and effective communication skills help you stand out in collaborative, fast-paced environments. These skills and qualifications are crucial for building scalable data solutions, ensuring data quality, and enabling data-driven decision-making for organizations using AWS.

What are some typical projects an entry level AWS data engineer might work on?

As an Entry Level AWS Data Engineer, you may be involved in projects such as building data pipelines, automating data ingestion, or assisting in the migration of on-premises data to AWS cloud services. These projects typically require collaboration with data analysts, senior engineers, and sometimes business stakeholders to ensure that clean, well-structured data is available for reporting and analytics. Your contributions help streamline data flows, improve data quality, and support the team’s ability to make data-driven decisions, providing a strong foundation for future growth and responsibilities.

What is the difference between Entry Level Aws Data Engineer vs Data Analyst?

AspectEntry Level Aws Data EngineerData Analyst
Required CredentialsBasic AWS certifications, SQL, PythonExcel, SQL, basic data visualization tools
Work EnvironmentCloud platforms, data pipelines, ETL processesData interpretation, reporting, dashboards
Industry UsageTech, finance, healthcare with cloud infrastructureBusiness, marketing, finance sectors

While both roles involve working with data, Entry Level Aws Data Engineers focus on building and maintaining cloud-based data pipelines using AWS tools, whereas Data Analysts interpret data and create reports to support business decisions. The roles often overlap in skills like SQL and basic scripting, but differ in their core responsibilities and work environments.

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

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

What are popular job titles related to Entry Level Aws Data Engineer jobs in Portland, OR?

For Entry Level Aws Data Engineer jobs in Portland, OR, the most frequently searched job titles are:

What job categories do people searching Entry Level Aws Data Engineer jobs in Portland, OR look for?

The top searched job categories for Entry Level Aws Data Engineer jobs in Portland, OR are:

Entry Level Aws Data Engineer jobs near you
Infographic showing various Entry Level Aws Data Engineer job openings in Portland, OR as of July 2026, with employment types broken down into 91% Full Time, 4% Part Time, and 5% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $137,565 per year, or $66.1 per hour.

Data Engineer

BizTek People, Inc. | APA International Placement Consultants

Beaverton, OR • On-site

$119K - $143K/yr

Contractor

Re-posted 8 days ago

Job description


Overview
As a Data Engineer within North America Supply Chain, you will be a key member of a growing and passionate group focused on collaborating across business and technology resources to drive forward key programs and projects building enterprise data & analytics capabilities across the enterprise.
Primary Responsibilities
• Good understanding and application of modern data processing technology stacks. For example, AWS, Snowflake, SQL, Airflow, SQOOP, DMS, Spark, and building out performant data consumption layers.
• Design and build product features in collaboration with business and IT.
• Design reusable components, frameworks, libraries like User Defined Functions.
• Build continuous integration and test-driven development environment.
• Performance/scalability tuning, algorithms and computational complexity.
• Manage large data sets that are updated multiple times per day.
• Participate in an Agile / Scrum methodology to deliver high - quality software releases every 2 weeks through Sprints.
• Troubleshoot production support issues post - deployment and come up with solutions as required.
Preferred Experience
• A Bachelor's degree in Business, Information Technology or related field.
• 2+ years' experience in a professional organization collaborating across multiple functions.
• Familiarity with Agile project delivery methods.
• Experience with AWS components and services (E.G. EC2, EMR, S3, and Lambda).
• Experience with Jenkins, Bitbucket/GitHub and scheduling tools like Airflow.
• Strong programming, Python, shell scripting and SQL.
• Good understanding of file formats including JSON, Parquet, Avro, and others.
• Experience with data warehouses/RDBMS like Oracle, Teradata, Snowflake.
• Experience with data warehousing, dimensional modeling and ETL development.
• Demonstrable ability to quickly learn new tools and technologies.
• Exceptional interpersonal and communication skills (written and verbal).

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