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New Grad Data Engineer Jobs in Oregon (NOW HIRING)

Using their technical experience in ETL processes, Data Engineers ensure operational functions are ... Learning new tasks and completing tasks in situations that have a speed or productivity quota.

Sr. Data Analytics Engineer

OR · On-site +1

$125K - $165K/yr

As a Senior Data Engineer, you will design and implement data analytics pipelines, develop high ... No relocation provided Base Compensation $125,000.00-$165,000.00 USD Most new hires fall within ...

Senior Data Engineer AI

$140K - $165K/yr

Train and mentor new members of the team as needed. * Participate in meetings with clients and/or ... Experienced in implementing data pipelines with data engineering best practices in SQL, Spark and ...

New Grad Angio Tech

Corvallis, OR

$17 - $22.25/hr

... for data entry for billing purposes and logging of case data into the digital archive of the ... If a new graduate, temporary license upon hire and permanent license within six (6) months of hire ...

New Grad Angio Tech

Corvallis, OR · On-site

$48.44 - $68.79/hr

... for data entry for billing purposes and logging of case data into the digital archive of the ... If a new graduate, temporary license upon hire and permanent license within six (6) months of hire ...

New Grad Angio Tech

Corvallis, OR

$17 - $22.25/hr

... for data entry for billing purposes and logging of case data into the digital archive of the ... If a new graduate, temporary license upon hire and permanent license within six (6) months of hire ...

Use the data prepared by the Data Engineer to run analysis using different tools and methodologies ... new topics, etc. * Knowledge & experience: * 5+ years of experience in a statistical and/or data ...

OR · On-site

... new technologies and tools to enhance data processing capabilities. Qualifications: - Proven experience in data engineering, with a strong understanding of data architecture and ETL processes ...

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Showing results 1-20

New Grad Data Engineer information

See Oregon salary details

$47K

$137.1K

$187.7K

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

As of Jun 21, 2026, the average yearly pay for new grad data engineer in Oregon is $137,147.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,100.00 and $145,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the New Grad Data Engineer position, and why are they important?

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 the typical day look like for a New Grad Data Engineer?

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 job?

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.

What are popular job titles related to New Grad Data Engineer jobs in Oregon? For New Grad Data Engineer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching New Grad Data Engineer jobs in Oregon look for? The top searched job categories for New Grad Data Engineer jobs in Oregon are:
What cities in Oregon are hiring for New Grad Data Engineer jobs? Cities in Oregon with the most New Grad Data Engineer job openings:
Infographic showing various New Grad Data Engineer job openings in Oregon as of June 2026, with employment types broken down into 85% Full Time, and 15% Contract. Highlights an 92% In-person, 5% Hybrid, and 3% Remote job distribution, with an average salary of $137,147 per year, or $65.9 per hour.
Data Engineer (Vantage) - Clearance Required

Data Engineer (Vantage) - Clearance Required

Logistics Management Institute

On-site, Remote

$101K - $174K/yr

Other

Posted 8 days ago


Job description

Overview

LMI is seeking a Data Engineer to build the pipelines that power Army leadership decisions. You will transform raw data from authoritative Army sources into structured, actionable "Objects" within the Vantage (Palantir Foundry) environment.

Focus: Scaling data pipelines and ontology management within the Army Vantage/Advana ecosystem.

Active Secret clearance required.

Location: Hybrid; at least 3 days on client site in Crystal City VA or Aberdeen MD. Open to Remote. 

LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.

Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.

Responsibilities

Core Responsibilities:

  • Data Pipelines: Design, build, and maintain scalable ETL pipelines using Python and PySpark within Palantir Foundry.
  • Ontology Management: Develop and refine "Objects" (e.g., Soldiers, Equipment, Units) and their relationships to ensure a clean, accurate digital representation of Army operations.
  • Data Hygiene: Assist with the cleanup of legacy data models and implement automated data quality checks.
  • Decision Support: Build low-code/no-code applications and dashboards that allow senior leaders to access high-quality data in real-time.
  • Architecture: Implement Medallion Lakehouse concepts to organize data into Bronze, Silver, and Gold layers for downstream analytics.
Qualifications

Qualifications:

  • Technical: 5-8 years of experience in Data Engineering with expert proficiency in Python, SQL, and PySpark.
  • Platform: Demonstrated experience with Army Vantage (Palantir Foundry) and the Advana ecosystem.
  • Clearing: Active DoD Secret Clearance required.
  • Bonus: Familiarity with Army data sources like IPPS-A, GCSS-Army, or GFEBS.

Travel: Minimal 10%

Location: Three days in Crystal City Va or Aberdeen MD. Open to Remote

Target salary range: $101,144 - $174,591

Disclaimer: The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.

#LI-SH1

Applicants must meet eligibility requirements for a U.S. Government security clearance. Only US Citizens are eligible for a security clearance. For this position, LMI will only consider applicants with security clearances or applicants who are eligible for security clearances, due to the nature of the work.

Employment Type: OTHER