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Data Engineer Project Jobs in Hillsboro, OR (NOW HIRING)

As a Senior Manager you lead large projects, innovate processes, and maintain operational ... Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

Data Engineer, Staff

Newberg, OR · On-site

$120K - $144K/yr

Overview The Staff Data Engineer independently plans, schedules, and leads data, analytics, and ... Works with Program and Project Managers to understand the features, do technical assessment, design ...

Data Engineer, Staff

Newberg, OR · On-site

$120K - $144K/yr

Overview The Staff Data Engineer independently plans, schedules, and leads data, analytics, and ... Works with Program and Project Managers to understand the features, do technical assessment, design ...

In data engineering at PwC, you will focus on designing and building data infrastructure and ... Understand the broader objectives of your project or role and how your work fits into the overall ...

In data engineering at PwC, you will focus on designing and building data infrastructure and ... Take ownership of projects, ensuring their successful planning, budgeting, execution, and ...

As a Project Engineer at GRI, you will gain experience working on a variety of interesting ... Ability to perform calculations and use tools to compute data Skilled in use and application of ...

As a Project Engineer at GRI, you will gain experience working on a variety of interesting ... Ability to perform calculations and use tools to compute data Skilled in use and application of ...

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Data Engineer Project information

See Hillsboro, OR salary details

$50.1K

$179.7K

$265.2K

How much do data engineer project jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data engineer project in Hillsboro, OR is $179,718.00, according to ZipRecruiter salary data. Most workers in this role earn between $145,400.00 and $185,100.00 per year, depending on experience, location, and employer.

What is a data engineer project?

A Data Engineer Project refers to a specific initiative or assignment undertaken by data engineers to design, build, and maintain systems that gather, process, and store large volumes of data. These projects often involve creating data pipelines, integrating multiple data sources, ensuring data quality, and optimizing storage solutions for analytics or business intelligence. Such projects are critical for organizations to manage their data efficiently and enable data-driven decision-making. Data Engineer Projects can range from building a data warehouse to implementing real-time data streaming solutions.

What are some common challenges faced by data engineers working on project-based teams?

Data Engineers on project-based teams often encounter challenges such as integrating data from disparate sources, ensuring data quality and consistency, and meeting tight project deadlines. Collaboration with data scientists, analysts, and software engineers is crucial, requiring clear communication to translate business needs into robust data pipelines. Additionally, adapting to evolving technologies and toolsets is essential for the successful delivery of scalable and maintainable solutions.

What is the difference between Data Engineer Project vs Data Engineer?

AspectData Engineer ProjectData Engineer
CredentialsTypically requires a degree in Computer Science, Data Science, or related fields; certifications like AWS, Google Cloud, or Azure are commonSimilar credentials; often holds certifications in cloud platforms and data tools
Work EnvironmentProject-based, often temporary teams working on specific data solutionsFull-time role within organizations, maintaining ongoing data pipelines and infrastructure
Industry UsageUsed across industries for specific data initiativesCore role in data-driven companies and departments
Search & Comparison IntentOften searched for project-based roles or freelance opportunitiesMore common in job searches for permanent positions

In summary, Data Engineer Projects focus on temporary, goal-specific data tasks, while Data Engineers hold ongoing roles responsible for maintaining data infrastructure. Both roles require similar skills and certifications but differ mainly in scope and employment type.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need strong proficiency in programming (Python, Java, or Scala), data modeling, and database management, often supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), ETL systems, cloud platforms (AWS, Azure, GCP), and relevant certifications is highly beneficial. Analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with data teams and stakeholders. These competencies are essential for building reliable data pipelines and ensuring data availability and quality to drive business insights.
What are popular job titles related to Data Engineer Project jobs in Hillsboro, OR? For Data Engineer Project jobs in Hillsboro, OR, the most frequently searched job titles are:
What job categories do people searching Data Engineer Project jobs in Hillsboro, OR look for? The top searched job categories for Data Engineer Project jobs in Hillsboro, OR are:
Infographic showing various Data Engineer Project job openings in Hillsboro, OR as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, and 5% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $179,718 per year, or $86.4 per hour.

$119K - $143K/yr

Contractor

Re-posted 29 days ago


Job description


Overview
As a Data Engineer within North America Supply Chain, you will be a key member of a growing and passionate group focused on collaborating across business and technology resources to drive forward key programs and projects building enterprise data & analytics capabilities across the enterprise.
Primary Responsibilities
• Good understanding and application of modern data processing technology stacks. For example, AWS, Snowflake, SQL, Airflow, SQOOP, DMS, Spark, and building out performant data consumption layers.
• Design and build product features in collaboration with business and IT.
• Design reusable components, frameworks, libraries like User Defined Functions.
• Build continuous integration and test-driven development environment.
• Performance/scalability tuning, algorithms and computational complexity.
• Manage large data sets that are updated multiple times per day.
• Participate in an Agile / Scrum methodology to deliver high - quality software releases every 2 weeks through Sprints.
• Troubleshoot production support issues post - deployment and come up with solutions as required.
Preferred Experience
• A Bachelor's degree in Business, Information Technology or related field.
• 2+ years' experience in a professional organization collaborating across multiple functions.
• Familiarity with Agile project delivery methods.
• Experience with AWS components and services (E.G. EC2, EMR, S3, and Lambda).
• Experience with Jenkins, Bitbucket/GitHub and scheduling tools like Airflow.
• Strong programming, Python, shell scripting and SQL.
• Good understanding of file formats including JSON, Parquet, Avro, and others.
• Experience with data warehouses/RDBMS like Oracle, Teradata, Snowflake.
• Experience with data warehousing, dimensional modeling and ETL development.
• Demonstrable ability to quickly learn new tools and technologies.
• Exceptional interpersonal and communication skills (written and verbal).