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Junior Data Engineering Jobs in Oregon (NOW HIRING)

Nike

Lead Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

Reporting to the Engineering Director, this team partners with data scientists, engineers, analysts ... The candidate will lead technical design and development while mentoring junior engineers and ...

Defense Unicorns

Senior FDE Data Engineer (FedD140/FedD148)

OR · On-site +1

$105K - $143K/yr

Role Description This is a forward-deployed engineering role. You'll work shoulder-to-shoulder with ... Grow junior Data Engineer FDEs. Pair on hard problems, review integration designs before they reach ...

BetterHelp

Staff ML/AI Platform Engineer

OR · On-site +1

Mentor and guide junior data scientists to deploy their models into production * Design & Build ML (engineering) solutions that unlock new ML modeling capabilities for BetterHelp What will you NOT do?

Five9

Vice President, Data Science

OR · On-site +1

Data Engineering & Curation * Expertise in large-scale data collection, labeling, cleaning, and ... Passion for mentoring senior and junior data scientists, fostering technical excellence, and ...

Concora Credit Inc.

Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

Partner with cross-functional teams to solve complex data challenges and provide technical guidance on data architecture and engineering best practices. * Mentor junior engineers and contribute to a ...

Concora Credit Inc.

Data Engineer

Beaverton, OR

$119K - $143K/yr

Partner with cross-functional teams to solve complex data challenges and provide technical guidance on data architecture and engineering best practices. * Mentor junior engineers and contribute to a ...

Concora Credit Inc.

Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

Partner with cross-functional teams to solve complex data challenges and provide technical guidance on data architecture and engineering best practices. * Mentor junior engineers and contribute to a ...

Concora Credit Inc.

Data Engineer

Beaverton, OR

$119K - $143K/yr

Partner with cross-functional teams to solve complex data challenges and provide technical guidance on data architecture and engineering best practices. * Mentor junior engineers and contribute to a ...

Amerilife Group, LLC

Senior Data Engineer

OR · On-site +1

$142K - $160K/yr

... engineering standards. Collaboration * Partner with Architects, Product Owners, Business Analysts, and Data Scientists. * Participate in architecture reviews and code reviews. * Mentor junior ...

Les Schwab Tire Centers

Sr Integration Engineer

Bend, OR · On-site

$120 - $150/hr

Stay current with industry trends, best practices, and emerging technologies in data engineering ... Mentoring (10%) * Guide junior members on product‑centric approaches and technical best practices.

phData

Sr. DevOps Engineer - Snowflake

OR · On-site +1

$129K - $166K/yr

You will collaborate closely with clients, Elastic Operations leadership, data engineering and ... Mentor and coach junior DevOps engineers, fostering a culture of learning, feedback, and continuous ...

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All JobsData Engineering JobsJunior Data Engineering JobsJunior Data Engineering Jobs in Oregon

Junior Data Engineering information

See Oregon salary details

$35.4K

$75.9K

$115.8K

How much do junior data engineering jobs pay per year?

As of Aug 25, 2026, the average yearly pay for junior data engineering in Oregon is $75,912.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,300.00 and $84,600.00 per year, depending on experience, location, and employer.

What does a junior data engineer do?

A Junior Data Engineer typically assists in designing, building, and maintaining data pipelines and databases to support analytics and business needs. They work with large datasets, ensuring data is collected, stored, and processed efficiently and accurately. Responsibilities often include data cleaning, ETL (Extract, Transform, Load) processes, and collaborating with data analysts and other engineers. Junior Data Engineers are usually early in their careers and work under the guidance of more experienced data engineers while developing their technical and problem-solving skills.

What are the key skills and qualifications needed to thrive as a junior data engineer?

To thrive as a Junior Data Engineer, you need a solid understanding of data structures, SQL, and programming languages like Python or Java, often supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms (such as AWS or Azure), and data warehousing solutions is typically required. Strong problem-solving abilities, attention to detail, and effective communication help you excel in team environments and manage complex data workflows. These skills ensure you can reliably build, maintain, and optimize data pipelines that support organizational decision-making.

What are some typical challenges a junior data engineer may face when starting out, and how can they overcome them?

As a Junior Data Engineer, one common challenge is adapting to complex data infrastructure and unfamiliar tools or frameworks. You may also find it challenging to ensure data quality and consistency while working with large datasets. Collaborating closely with senior engineers and asking questions is key to overcoming these hurdles. Taking advantage of onboarding resources, documentation, and code reviews will help you learn best practices and improve your skills quickly. Embracing continuous learning and seeking feedback will set you up for long-term growth in data engineering.

What is the difference between Junior Data Engineering vs Data Analyst?

AspectJunior Data EngineeringData Analyst
Required SkillsBasic SQL, Python, data pipeline knowledgeData visualization, SQL, Excel
CertificationsEntry-level certifications in data engineering or related fieldsCertifications in data analysis or visualization tools
Work EnvironmentData engineering teams, IT departmentsBusiness units, marketing, finance teams
Industry UsageBuilding and maintaining data pipelines and infrastructureInterpreting data, creating reports and dashboards

Junior Data Engineering focuses on developing and maintaining data pipelines and infrastructure, requiring skills in SQL and Python. Data Analysts interpret data and create reports, often using visualization tools. While both roles work with data, Junior Data Engineers handle data flow and storage, whereas Data Analysts focus on data interpretation and insights.

What are the most commonly searched types of Data Engineering jobs in Oregon?

The most popular types of Data Engineering jobs in Oregon are:

What are popular job titles related to Junior Data Engineering jobs in Oregon?

For Junior Data Engineering jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Junior Data Engineering jobs in Oregon look for?

The top searched job categories for Junior Data Engineering jobs in Oregon are:

What cities in Oregon are hiring for Junior Data Engineering jobs?

Cities in Oregon with the most Junior Data Engineering job openings:

Junior Data Engineering jobs near you
Infographic showing various Junior Data Engineering job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $75,912 per year, or $36.5 per hour.

Lead Data Engineer

Nike

Beaverton, OR • On-site

$119K - $143K/yr

Full-time

Re-posted yesterday

Nike rating

7.6

Company rating: 7.6 out of 10

Based on 274 frontline employees who took The Breakroom Quiz

7th of 104 rated fashion retailers

Job description

LEAD, DATA ENGINEER - NIKE
[Beaverton, OR - USA]
WHO YOU'LL WORK WITH
Consumer Product and Innovation (CP&I) Data and Analytics Engineering sits at the intersection of product innovation and enterprise data strategy at Nike. Reporting to the Engineering Director, this team partners with data scientists, engineers, analysts, and product managers to build a cross-capability data foundation and a semantic layer that powers Advanced Analytics, Business Intelligence, and AI solutions driving business growth.
WHO WE ARE LOOKING FOR
We're looking for a Lead Data Engineer to design, build, and maintain scalable data pipelines and analytics solutions within Nike's CP&I organization. This role drives the development of robust data products that support Business Intelligence and AI initiatives across the business. The candidate will lead technical design and development while mentoring junior engineers and setting standards for data governance, performance, and engineering excellence.
We're seeking someone with deep expertise in distributed data processing and cloud-based data platforms who can translate complex business requirements into reliable, production-grade solutions. The ideal candidate brings strong leadership instincts, excels in cross-functional collaboration, and communicates technical concepts clearly to both engineering peers and non-technical stakeholders. Success in this role requires a builder's mindset, a commitment to continuous improvement, and the ability to thrive in a fast-paced environment where data directly fuels innovation and growth.
  • Bachelor's degree in Computer Science or related field. Will accept any suitable combination of education, experience and training
  • 8+ years of experience as a Data Engineer with strong expertise in Databricks, PySpark, SQL, and Apache Spark
  • Hands-on experience with the Databricks Lakehouse Platform, Medallion architecture, Delta Lake, and AWS data services (S3, RDS)
  • Proven experience leading and mentoring data engineering teams, with strong skills in CI/CD, Git, and DevOps practices
  • Experience with data modeling, ETL/ELT processes, real-time data processing frameworks (Kafka, Kinesis, or similar), and cross-functional stakeholder communication

Preferred qualifications:
  • Knowledge of Generative AI and Machine Learning pipelines and integrating them into production environments
  • Databricks certification (e.g., Databricks Certified Data Engineer or Databricks Certified Developer for Apache Spark)

WHAT YOU'LL WORK ON
You'll be at the forefront of building Nike's data foundation and semantic layer - designing and delivering the pipelines, frameworks, and data products that turn raw data into insights shaping product innovation and business strategy. This is hands-on, high-impact work at the intersection of engineering craft and enterprise scale.
  • Lead the design, development, and deployment of scalable data pipelines and architectures that power analytics and AI initiatives across CP&I
  • Partner with data scientists, analysts, product managers, and business stakeholders to translate requirements into technical specifications and deliver solutions that drive decision-making
  • Mentor junior data engineers and champion best practices in coding standards, data governance, and performance optimization
  • Build and maintain robust, reusable data engineering components, frameworks, and libraries that process data from diverse sources with consistency and quality
  • Monitor, troubleshoot, and optimize data pipelines to ensure high availability, performance, and reliability at enterprise scale
  • Implement CI/CD pipelines to automate deployment and testing of data engineering workflows
  • Participate in code reviews and contribute to a culture of collaboration, innovation, and continuous improvement

We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.

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