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Data Engineer Contract Jobs in Portland, OR (NOW HIRING)

Aquent

Lead Data Engineer

Beaverton, OR · On-site

$59.40 - $66/hr

Contract (with potential extension) Start: ASAP (urgent need) About the Role We're seeking a highly experienced Data Engineer to join a fast-paced, collaborative team focused on building scalable ...

New

Procom Consultants Group

Data Analyst

Hillsboro, OR · On-site

... Contract Staffing (Staff Augmentation) Permanent Placement (Staff Augmentation) ICAP (Contractor ... and Multimedia programmer Quantitative research Unstructured data analysis Natural language ...

Air National Guard Units

CONTRACT SPECIALIST

Portland, OR · On-site +1

$54K - $125K/yr

... data requirements. Reviews a diverse variety of requisition packages for adequacy and compliance ... and engineering. Researches, interprets, analyzes, and applies all regulations, business and ...

Procom Consultants Group

Data Analyst

Hillsboro, OR · On-site

... Contract Staffing (Staff Augmentation) Permanent Placement (Staff Augmentation) ICAP (Contractor ... Information Systems, Engineering - Experience extracting and manipulating data from multiple ...

Element Materials Technology

Data Processor

Gresham, OR · On-site

Propose engineering documents for clients' approval, on-site installation and hands-on monitoring ... Shall be responsible for preparing all necessary reports as specified in the contract's documents ...

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Showing results 1-20

All JobsData Engineer Contract JobsData Engineer Contract Jobs in Portland, OR

Data Engineer Contract information

See Portland, OR salary details

$47.2K

$137.6K

$188.2K

How much do data engineer contract jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data engineer contract in Portland, OR is $137,565.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,400.00 and $145,800.00 per year, depending on experience, location, and employer.

What are the typical daily responsibilities of a data engineer contract?

As a Data Engineer contractor, your day-to-day tasks often include designing, building, and maintaining data pipelines, implementing ETL processes, and preparing datasets for analytics or machine learning teams. You may be asked to collaborate with data scientists, analysts, and other engineers to understand data requirements and resolve technical issues. Contractors also frequently assess data quality, optimize performance, and document their work for seamless team integration. The role is fast-paced and may require you to quickly adapt to new projects or technologies, making it ideal for those who enjoy dynamic, project-based environments.

What are the key skills and qualifications needed to thrive in the data engineer contract position, and why are they important?

To thrive as a Data Engineer Contract, you need expertise in data modeling, ETL processes, and proficiency with programming languages such as Python or SQL, often supported by a degree in computer science or related field. Familiarity with big data platforms like Hadoop or Spark, experience with cloud services (AWS, GCP, or Azure), and certifications in relevant technologies are highly valued. Strong problem-solving skills, effective communication, and the ability to work independently are crucial soft skills. These abilities ensure data engineers can efficiently design scalable pipelines, troubleshoot issues, and collaborate across teams to support data-driven decision-making.

What is a data engineer contract?

A Data Engineer Contract job is a temporary or project-based role where a data engineer is hired for a specific duration to design, build, and maintain data pipelines and infrastructure. Contract data engineers often work with big data technologies, ETL processes, and cloud platforms to ensure data is efficiently processed and accessible. These roles can be short-term (a few months) or long-term (a year or more), depending on the project's needs. Contractors may work independently or as part of a larger data team, and they are typically paid hourly or per project rather than receiving a fixed salary and benefits like full-time employees.

What are the most commonly searched types of Data Engineer jobs in Portland, OR? The most popular types of Data Engineer jobs in Portland, OR are:
What are popular job titles related to Data Engineer Contract jobs in Portland, OR? For Data Engineer Contract jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Data Engineer Contract jobs in Portland, OR look for? The top searched job categories for Data Engineer Contract jobs in Portland, OR are:
What cities near Portland, OR are hiring for Data Engineer Contract jobs? Cities near Portland, OR with the most Data Engineer Contract job openings:
Data Engineer Contract jobs near you
Infographic showing various Data Engineer Contract job openings in Portland, OR as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 11% Part Time, and 8% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $137,565 per year, or $66.1 per hour.

Lead Data Engineer

Aquent

Beaverton, OR • On-site

$59.40 - $66/hr

Temporary

Posted 3 days ago

New

Job description

Placement Type:
Temporary
Salary:
$59.40-66 Hourly
up to $66.00/hr
Start Date:
Aug 10, 2026
Data Engineer IV (Senior / Lead Level)
Location: Portland, OR (Hybrid - 4 days onsite, 1 remote)
Type: Contract (with potential extension)
Start: ASAP (urgent need)
About the Role
We're seeking a highly experienced Data Engineer to join a fast-paced, collaborative team focused on building scalable data products and improving business performance. This role sits at the intersection of data engineering, analytics, and product development, supporting critical initiatives that drive profitability and operational efficiency.
You'll work closely with product managers, analysts, and engineering teams to design and deliver modern data solutions at scale.
What You'll Do
  • Design, build, and maintain scalable data pipelines (batch and streaming)
  • Develop and optimize data products and datasets for business and analytics use
  • Translate product requirements and backlog items into technical solutions
  • Contribute to data architecture, frameworks, and best practices
  • Build reusable data utilities, libraries, and frameworks
  • Partner cross-functionally with product, analytics, and business stakeholders
  • Ensure data quality, reliability, and performance through testing and monitoring
  • Troubleshoot issues and perform root cause analysis
  • Support and evolve CI/CD pipelines and automation workflows
  • Contribute to AI/ML data initiatives and enable downstream use cases
Must-Have Qualifications
  • Prior experience working within a large global consumer or retail organization (environment familiarity required)
  • 8-10+ years of experience in data engineering or big data environments
  • Strong programming skills in Python (or Scala)
  • Deep experience with distributed data processing (e.g., Spark)
  • Advanced SQL and data warehousing expertise
  • Hands-on experience with modern data platforms such as Databricks, Snowflake, or equivalents
  • Proven ability to build and scale end-to-end data pipelines
  • Experience supporting or enabling AI/ML or advanced analytics initiatives
  • Strong communication skills and ability to work across technical and non-technical teams
  • Experience working in Agile/Scrum environments
Preferred Qualifications
  • Experience in finance, profitability, or margin-focused analytics
  • Experience with cloud platforms (AWS or equivalent)
  • Familiarity with workflow orchestration tools (e.g., Airflow or similar)
  • Experience with streaming technologies (e.g., Kafka, Kinesis, or equivalents)
  • Exposure to CI/CD, infrastructure as code, and automation tools
  • Experience supporting BI/reporting tools and analytics workflows
  • Knowledge of NoSQL databases
  • Relevant certifications (cloud or data platforms)
What Success Looks Like
  • Delivering high-quality, scalable data solutions that support business decisions
  • Improving data accessibility, performance, and reliability
  • Enabling teams with better tools, cleaner data, and faster insights
  • Driving efficiency and reducing friction across data workflows
    #LI-BC1

Client Description
Global leader in athletic footwear, apparel, and equipment. Our client focuses on innovation, performance, and marketing, partnering with top athletes and teams. The company emphasizes sustainability and digital advancements to enhance the sports experience.

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