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New Grad Data Engineer Jobs in Portland, OR (NOW HIRING)

... a Data Engineer - Senior Associate, you will focus on designing and building data infrastructure ... By using a broad range of tools, methodologies, and techniques, you will generate new ideas and ...

We are seeking a Temporary Data Engineer to support analysis and data-driven decision-making within ... new employee's Form I-9 to confirm work authorization. For more information, please review the ...

We are seeking a Temporary Data Engineer to support analysis and data-driven decision-making within ... new employee's Form I-9 to confirm work authorization. For more information, please review the ...

Showing results 21-40

New Grad Data Engineer information

See Portland, OR salary details

$47.2K

$137.6K

$188.2K

How much do new grad data engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for new grad 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 are the key skills and qualifications needed to thrive as a new grad data engineer?

To thrive as a New Grad Data Engineer, you need a strong grasp of programming languages like Python or SQL, a background in computer science or a related field, and an understanding of data modeling and database concepts. Familiarity with data engineering tools such as ETL pipelines, cloud platforms like AWS or Azure, and certifications in these areas can be beneficial. Strong problem-solving skills, effective communication, and a willingness to learn are valuable soft skills for this position. These abilities ensure you can effectively handle complex data tasks, collaborate with technical teams, and adapt to evolving technologies in a fast-paced environment.

What does a new grad data engineer do?

As a New Grad Data Engineer, your day often involves writing and optimizing code for data pipelines, cleaning and transforming data, and troubleshooting any issues that arise. You’ll work closely with senior data engineers, data scientists, and sometimes business stakeholders to understand data requirements and deliver reliable solutions. Many entry-level roles emphasize learning and professional growth, so you can expect regular mentorship, code reviews, and opportunities to work on small components of larger projects. Over time, you’ll take on more complex responsibilities and contribute to the overall data infrastructure of your organization.

What is a new grad data engineer?

A New Grad Data Engineer is an entry-level role for recent graduates who focus on designing, building, and maintaining data pipelines and infrastructure. They work with databases, ETL (Extract, Transform, Load) processes, and big data technologies to ensure efficient data flow and storage. Typically, they collaborate with data scientists, analysts, and software engineers to support data-driven decision-making. This role requires knowledge of SQL, Python, and cloud platforms, along with problem-solving and analytical skills. It is an excellent opportunity to gain hands-on experience in data engineering while learning industry best practices.

Can I get a new grad data engineer job with no experience?

Securing a new grad data engineer position without experience is possible if you have relevant skills such as SQL, Python, or cloud platforms, and demonstrate a strong understanding of data pipelines and systems. Entry-level roles often focus on potential and foundational knowledge, and internships or projects can strengthen your application.
What job categories do people searching New Grad Data Engineer jobs in Portland, OR look for? The top searched job categories for New Grad Data Engineer jobs in Portland, OR are:
Infographic showing various New Grad Data Engineer job openings in Portland, OR as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $137,565 per year, or $66.1 per hour.

$110K - $149K/yr

Contractor

Re-posted 26 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