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Entry Level Data Engineering Jobs in Beaverton, OR

Position Overview The GIS Technician I is an entry-level position responsible for maintaining ... Under the supervision of senior GIS staff, the technician assists with mapping projects, data ...

Position Overview The GIS Technician I is an entry-level position responsible for maintaining ... Under the supervision of senior GIS staff, the technician assists with mapping projects, data ...

Industry/Sector Not Applicable Specialism Core DevSecOps Engineering Management Level Senior ... Analytics/Data Science, Artificial Intelligence/Robotics, Business Administration/Management ...

This Opportunity Provides technical design and CADD support to engineers and project managers to ... Collect, compile, and analyze data from the physical work site, surveys, structural concepts ...

This Opportunity Provides technical design and CADD support to engineers and project managers to ... Collect, compile, and analyze data from the physical work site, surveys, structural concepts ...

Be Seen First

You'll work in a cleanroom environment alongside engineering and quality teams to help ensure ... Record process data, equipment settings, and production information accurately in the manufacturing ...

Building Science Consultant

Portland, OR · On-site

$85K - $123K/yr

Our architects, engineers, interior designers, consultants, sustainability specialists, and ... This is a full-time, entry-level to early-career position that offers exposure to a wide range of ...

Showing results 41-60

Entry Level Data Engineering information

See Beaverton, OR salary details

$12

$21

$32

How much do entry level data engineering jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for entry level data engineering in Beaverton, OR is $21.06, according to ZipRecruiter salary data. Most workers in this role earn between $17.02 and $22.74 per hour, depending on experience, location, and employer.

What is an entry level data engineer?

An Entry Level Data Engineering job involves designing, building, and maintaining data pipelines that collect, process, and store data for analysis. Professionals in this role work with databases, ETL (Extract, Transform, Load) processes, and cloud platforms to ensure data is accessible and reliable. They often collaborate with data analysts and scientists to support business intelligence and machine learning initiatives. Common skills include SQL, Python, and experience with big data tools like Apache Spark or AWS. This role serves as a foundation for more advanced data engineering positions.

What types of projects and tasks can I expect to work on as an entry level data engineer?

As an Entry Level Data Engineer, you will typically assist with building data pipelines, cleaning and preparing data for analysis, and supporting the migration of data into cloud or on-premises data warehouses. Your daily tasks may include collaborating with data analysts, troubleshooting data quality issues, and learning to automate data flow processes. You’ll often work alongside more senior engineers, gaining exposure to real-world datasets and the software engineering practices that keep data infrastructure running smoothly. This hands-on experience offers a solid foundation for advanced data engineering roles as your career progresses.

What does an entry level data engineer do?

An entry level data engineer designs, builds, and maintains data pipelines and infrastructure to support data collection, storage, and processing. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making. This role often involves collaborating with data scientists and analysts to optimize data workflows and improve data quality.

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

To thrive as an Entry Level Data Engineer, you need a solid understanding of programming languages like Python or SQL, basic data modeling, and a relevant degree such as computer science or information technology. Familiarity with ETL tools, cloud platforms like AWS or Azure, and introductory certifications in big data technologies can be advantageous. Attention to detail, strong problem-solving abilities, and effective communication skills are valuable soft skills for this role. These competencies enable you to process and manage large data sets accurately, collaborate with teams, and support data-driven decision-making.

What are the most commonly searched types of Data Engineering jobs in Beaverton, OR?

The most popular types of Data Engineering jobs in Beaverton, OR are:

What cities near Beaverton, OR are hiring for Entry Level Data Engineering jobs?

Cities near Beaverton, OR with the most Entry Level Data Engineering job openings:

Infographic showing various Entry Level Data Engineering job openings in Beaverton, OR as of August 2026, with employment types broken down into 83% Full Time, and 17% Part Time. Highlights an 100% In-person job distribution, with an average salary of $43,802 per year, or $21.1 per hour.

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago


Job description

Better Careers Start Here! Join a company that fosters career growth through formal job training and strategic leadership development programs. The amazing career opportunities at Hunter Communications are fueled by our rapidly expanding, state-of-the-art fiber internet and world-class customer service.
At Hunter Communications, all employees are provided a benefit package including medical, dental, vision, disability coverage, life insurance, and an employee assistance program. We offer very generous vacation, sick, and holiday time off, a 401k program with a generous employer match, and numerous bonus opportunities.
Position Overview The GIS Technician I is an entry-level position responsible for maintaining, analyzing, and displaying geographic information using Geographic Information Systems (GIS) software. Under the supervision of senior GIS staff, the technician assists with mapping projects, data management, field data collection, as-built construction processing and technical support for departments that rely on spatial data.
Essential Duties and Responsibilities
  • Create, edit, and maintain GIS elements and spatial databases.
  • Collect, verify, and update geographic data from field surveys, GPS equipment, aerial imagery, and other sources.
  • Assist with geospatial analysis to support planning, engineering, design, splicing and construction departments.
  • Maintain accurate documentation of GIS data and procedures.
  • Respond to requests for maps, spatial data, and GIS support.
  • Import, convert, and integrate data from multiple formats and sources.
  • Follow established GIS standards, policies, and best practices.
  • Perform other related duties as assigned.

Requirements
Knowledge, Skills, and Abilities
  • Basic knowledge of GIS principles and cartography.
  • Familiarity with GPS technology and spatial data collection methods.
  • Understanding of coordinate systems, projections, and geodatabases.
  • Strong Google Suite experience (Google Sheets, docs, Gmail, Meet and Chat) and Microsoft Office Applications.
  • Strong attention to detail and organizational skills.
  • Ability to analyze data and identify errors.
  • Effective written and verbal communication skills.
  • Ability to work independently and collaboratively in a team environment.

Preferred Qualifications
  • Experience with M4 Solutions, IQGeo, QGIS, ArcGIS Pro and ArcGIS Online.
  • Familiarity with SQL, FME, Katapult and AutoCAD

Physical Requirements
  • Ability to sit for extended periods while working at a computer.

Hunter Communications provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.