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New Grad Data Engineer Jobs in Oregon (NOW HIRING)

$114K - $137K/yr

The Data Engineer plays a key role in that mission by building and maintaining the data platform ... Create reusable components and templates to streamline integration of new data sources and partner ...

OR

$114K - $137K/yr

We are seeking a dynamic individual who is able to adapt and take on new responsibilities as they ... engineering principles to ensure the reliability, scalability, and maintainability of data layer ...

Data Engineer (L5)

OR · On-site +1

$380K - $610K/yr

Data Engineering at Netflix is a role that requires building systems to process data efficiently ... You strive to write elegant code, and you're comfortable with picking up new technologies ...

Data Engineer

$90K - $135K/yr

Job Summary As a Data Engineer at Wellbe you will play a pivotal role in collecting, processing ... Apply new tools and techniques to enhance the efficiency and effectiveness of data analysis ...

Data Engineer

Eugene, OR · On-site

$115K - $138K/yr

... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Sr. Data Engineer

OR · On-site +1

$100K - $150K/yr

... new opportunities, and improve processes. As an accomplished data engineer joining the Data ... Analytics team, this is a terrific opportunity to become part of a fast-growing, revolutionary ...

Data Engineer

Gresham, OR · On-site

$120K - $145K/yr

... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Data Engineer

Salem, OR · On-site

$115K - $138K/yr

... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Data Engineer

Portland, OR · On-site

$121K - $145K/yr

... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Data Engineer - Research Informatics

Odell, OR · On-site

$117K - $140K/yr

Yonkers, New York Grant Funded: No Department: IT - Data & Analytics Health Research Informatics ... The Data Engineer, Research Informatics plays a critical role in enabling data-driven clinical and ...

... new data technologies and tools to enhance data architecture - Building, maintaining, and improving ETL/ELT pipelines for data ingestion, processing, and storage across batch and real-time data ...

Data Engineer, Staff

Newberg, OR · On-site

$120K - $144K/yr

Overview The Staff Data Engineer independently plans, schedules, and leads data, analytics, and ... Develops new and varied solutions to data, analytics, and BI projects and contributes to the value ...

Data Engineer, Staff

Newberg, OR · On-site

$120K - $144K/yr

Overview The Staff Data Engineer independently plans, schedules, and leads data, analytics, and ... Develops new and varied solutions to data, analytics, and BI projects and contributes to the value ...

In data engineering at PwC, you will focus on designing and building data infrastructure and ... Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.

... new data technologies and tools - Leading data strategy engagements providing thought leadership - Developing leading practices for Data Engineering, Data Science, and Data Governance - Architecting ...

$58K - $73K/yr

The quality engineer will participate as a member of the Quality Assurance team to ensure compliance with Westinghouse's Quality Management System, customer contract requirements, industry and ...

Own and extend the Python-based ETL job orchestration engine: add new job types, monitor execution ... data engineering experience in a production environment * Strong SQL skills: complex stored ...

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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 Jul 18, 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 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 July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $137,147 per year, or $65.9 per hour.
Data Engineer

$114K - $137K/yr

Full-time

Posted 7 days ago


Job description

Trilon is building a supercharged, technology-enabled future for our people and partners. The Data Engineer plays a key role in that mission by building and maintaining the data platform that powers Trilon's enterprise analytics, automation, and AI capabilities. 
Reporting to the Vice President, Data & DevOps, this role is responsible for designing, developing, and maintaining scalable data integrations and transformations in Azure and Microsoft Fabric. The Data Engineer ensures that Trilon's data platform delivers reliable, high-quality, and well-structured data to support business intelligence, operations, and innovation. 
This role serves as the primary custodian of Trilon's integrated data model and is instrumental in developing a unified, extensible architecture that scales with continued acquisitions. The Data Engineer designs and builds secure Power BI semantic models for consumption by analysts and decision-makers, ensuring consistent and governed access to enterprise data. This role also partners closely with the AI and Innovation vTeam to prepare data for analytics, machine learning, and retrieval-augmented generation (RAG) applications. 
Data Platform Engineering and Maintenance 
  • Serve as the primary owner and technical steward of the Trilon enterprise data platform 
  • Design, develop, and maintain data pipelines and workflows using Azure Data Factory, Synapse, and Microsoft Fabric 
  • Build and manage data transformations, orchestration, and automation across structured, semi-structured, and unstructured data sources 
  • Ensure scalability, reliability, and performance of the data platform as Trilon continues to grow through acquisition 
  • Implement monitoring and alerting to proactively detect and resolve pipeline or data quality issues 
Data Integration and Modeling 
  • Develop and maintain integrations between Trilon's enterprise systems, cloud services, and acquired partner environments 
  • Design and maintain a unified, scalable data model that harmonizes data across business systems 
  • Build secure, governed, and high-performance Power BI semantic models optimized for analytics and self-service reporting 
  • Collaborate with business analysts and data consumers to ensure data models support enterprise reporting needs and KPIs 
  • Partner with cybersecurity and infrastructure teams to ensure data models and access patterns meet compliance and governance standards 
Data Quality and Governance 
  • Implement validation and quality checks to ensure accuracy, completeness, and timeliness of enterprise data sets 
  • Maintain metadata, lineage, and documentation to promote transparency and reusability 
  • Define and enforce data quality and consistency standards across all integrated sources 
  • Collaborate with the Technology Asset Manager and Service Platform Manager to align system integrations and data governance 
  • Support data cataloging, discovery, and classification initiatives within Microsoft Purview or equivalent tools 
Automation, Optimization, and Resilience 
  • Develop automated frameworks for ingestion, transformation, and validation using Azure-native tools and pipelines 
  • Implement DevOps principles for data workflows including version control, testing, and deployment automation 
  • Optimize pipeline performance, resource utilization, and data freshness 
  • Build resilience and fault tolerance into data operations to ensure reliability and recovery 
  • Create reusable components and templates to streamline integration of new data sources and partner systems 
AI and Innovation Enablement 
  • Collaborate with the AI and Innovation vTeam to prepare and structure data for AI, ML, and RAG-based applications 
  • Develop and maintain data pipelines that support model training, evaluation, and fine-tuning 
  • Curate and transform unstructured data for retrieval, embedding, and vectorization within AI applications 
  • Ensure data readiness for generative AI tools, chat interfaces, and knowledge retrieval systems 
  • Stay informed of emerging AI data engineering trends and Microsoft Fabric AI integrations 
Collaboration and Cross-Domain Partnership 
  • Partner with application and infrastructure teams to ensure reliable and secure data exchange across systems 
  • Collaborate with business stakeholders and analysts to understand reporting needs and deliver usable data models 
  • Support integration engineers in onboarding new firms and ensuring their data aligns with Trilon's enterprise model 
  • Work closely with cybersecurity and compliance teams to enforce data protection, retention, and access policies 
  • Provide documentation, architecture diagrams, and operational standards for the data platform and pipelines 
  • 5 or more years of experience in data engineering, data integration, or data platform development 
  • Strong hands-on experience with Azure Data Factory, Azure Synapse, Microsoft Fabric, and related Azure data services 
  • Proficiency in SQL, DAX, Power Query, and data modeling for Power BI 
  • Experience designing and maintaining Power BI semantic models, datasets, and row-level security configurations 
  • Familiarity with data governance, cataloging, and lineage management in tools like Microsoft Purview 
  • Experience building and optimizing cloud data pipelines with structured, semi-structured, and unstructured data 
  • Understanding of data preparation for AI and machine learning applications, including RAG architectures 
  • Exposure to engineering and geospatial data such as CAD, BIM, and GIS 
  • Strong analytical and problem-solving skills with a focus on scalability and performance 
  • Excellent collaboration and communication skills across technical and business audiences 
  • Bachelor's degree in Computer Science, Data Engineering, or related field preferred 
  • Microsoft certifications such as Azure Data Engineer Associate or Fabric Analytics Engineer Associate are a plus 
  • May require occasional travel to Trilon offices or partner locations for integration or collaboration activities 

Trilon was formed with the vision of building the next Top 20 infrastructure consulting firm in North America by bringing together some of the nation's best infrastructure consulting firms, focused on delivering practical and sustainable infrastructure solutions. Trilon is backed by Alpine Investors, a PeopleFirst Private Equity Firm. Trilon currently comprises 5,500+ staff across the US. For more information, visit www.trilon.com.
Pay Transparency
The base salary range for this role is indicated in the posting. This range reflects the company's good faith estimate of the compensation for this position at the time of posting. Final compensation will be determined based on factors such as experience, skills, qualifications, internal equity, and geographic location.