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Contract Data Engineering Jobs in Beaverton, OR (NOW HIRING)

BuzzClan LLC

Data Engineer - Databricks

Beaverton, OR

$119K - $143K/yr

Beaverton, OR - Hybrid (3 Days Onsite) Contract-to-Hire Job Overview We are seeking an experienced Data Engineer with strong Databricks expertise to design, develop, and maintain scalable enterprise ...

Posted today

Russell, Tobin & Associates

Data Engineer 5

Beaverton, OR · On-site

$70 - $78/hr

Contract role - 9+ months Pay Rate Range: $70 - $78 per hour (DOE) Responsibilities: * Build and ... professional data engineering experience. * Strong hands-on experience with Databricks, Spark ...

City of McMinnville

Engineering Technician

Mcminnville, OR · On-site

$65K - $91K/yr

... contract data for engineering projects, and ensuring that professional standards and requirements are met for the issuance of permits. This posting will remain open until filled, with a a first ...

Flux

Contract Recruiter

Portland, OR · On-site

We're seeking an experienced recruiter with engineering experience that can source hard to fill ... Maintain data integrity within our applicant tracking system and other tools to ensure accurate ...

Parker

Contract Specialist I

Milwaukie, OR · On-site

Our passionate people with deep engineering expertise, together with our breadth of differentiated ... Coordinates with relevant functions on technical and/or quality issues, data requirements, and ...

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All JobsContract Data Engineering JobsContract Data Engineering Jobs in Beaverton, OR

Contract Data Engineering information

See Beaverton, OR salary details

$46.3K

$135K

$184.7K

How much do contract data engineering jobs pay per year?

As of Aug 28, 2026, the average yearly pay for contract data engineering in Beaverton, OR is $134,965.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,100.00 and $143,100.00 per year, depending on experience, location, and employer.

What is contract data engineering?

Contract data engineering refers to hiring data engineers on a temporary or project basis, rather than as full-time employees. Contract data engineers are responsible for designing, building, and maintaining data pipelines, databases, and other infrastructure to support data analytics and business needs. Companies often hire contract data engineers to handle specific projects, scale up teams quickly, or bring in specialized skills for a limited time. This arrangement offers flexibility for both the company and the engineer, and is common in industries with fluctuating data workloads or short-term projects.

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

To thrive as a Contract Data Engineer, you need strong proficiency in data modeling, ETL processes, and programming languages such as Python or SQL, often supported by a degree in computer science or a related field. Familiarity with big data platforms (e.g., Hadoop, Spark), cloud services (AWS, Azure, GCP), and relevant certifications like Google Cloud Professional Data Engineer are typically required. Excellent problem-solving, adaptability, and effective communication are crucial soft skills in this role. These competencies enable efficient project delivery, seamless collaboration with stakeholders, and the ability to quickly adapt to new technical environments and client requirements.

What are some common challenges faced by contract data engineers and how can they be addressed?

Contract data engineers often face the challenge of quickly familiarizing themselves with a company's existing data infrastructure and processes. Since contracts are typically short-term, there is limited time to onboard, understand unique data pipelines, and build relationships with stakeholders. To address this, successful contract data engineers proactively communicate with team members, document their work thoroughly, and leverage their prior experience with a variety of tools and platforms. Flexibility and strong problem-solving skills are essential for adapting to new environments and delivering results efficiently.

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

AspectContract Data EngineeringData Analyst
Required SkillsSQL, Python, ETL, cloud platforms, data pipeline developmentSQL, Excel, data visualization, reporting tools
Work EnvironmentProject-based, technical teams, cloud or on-premises infrastructureBusiness units, reporting teams, often in office or remote
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail

Contract Data Engineers focus on building and maintaining data pipelines and infrastructure, requiring technical skills in programming and cloud platforms. Data Analysts interpret data, create reports, and visualize insights, often using different tools. While both roles work with data, Contract Data Engineering is more technical and infrastructure-oriented, whereas Data Analysts focus on data interpretation and business insights.

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 are popular job titles related to Contract Data Engineering jobs in Beaverton, OR?

For Contract Data Engineering jobs in Beaverton, OR, the most frequently searched job titles are:

What job categories do people searching Contract Data Engineering jobs in Beaverton, OR look for?

The top searched job categories for Contract Data Engineering jobs in Beaverton, OR are:

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

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

Contract Data Engineering jobs near you
Infographic showing various Contract Data Engineering job openings in Beaverton, OR as of August 2026, with employment types broken down into 77% Full Time, 11% Part Time, 6% Contract, and 6% Nights. Highlights an 83% In-person, 6% Hybrid, and 11% Remote job distribution, with an average salary of $134,965 per year, or $64.9 per hour.

Data Engineer - Databricks

BuzzClan LLC

Beaverton, OR

$119K - $143K/yr

Contractor

Posted 16 hours ago

Posted today

Job description

Job Description

Data Engineer – Databricks
Location: Beaverton, OR - Hybrid (3 Days Onsite)
Contract-to-Hire

Job Overview

We are seeking an experienced Data Engineer with strong Databricks expertise to design, develop, and maintain scalable enterprise data pipelines and data engineering solutions. The ideal candidate will have hands-on experience with Databricks, PySpark, Spark SQL, Delta Lake, Python, and SQL, along with experience in cloud platforms and modern data engineering practices.

Candidates must be local to or able to work onsite in Beaverton, Oregon 3 days per week.

Key Responsibilities

  • Design, develop, and maintain scalable ETL/ELT data pipelines and enterprise data solutions.
  • Develop and optimize data processing solutions using Databricks, PySpark, Spark SQL, and Delta Lake.
  • Build reliable and high-performance data pipelines using Python and SQL.
  • Implement data integration and transformation processes across various enterprise data sources.
  • Work with cloud platforms such as Azure, AWS, or GCP, with preference for Azure.
  • Develop and manage data workflows using orchestration tools such as Azure Data Factory (ADF) and/or Apache Airflow.
  • Apply data modeling, data warehousing, and performance optimization best practices.
  • Implement data quality, scalability, reliability, and performance improvements across data platforms.
  • Use Git, CI/CD, and DevOps practices to support automated and reliable data deployments.
  • Collaborate with business stakeholders, data architects, developers, and other cross-functional teams to deliver enterprise data solutions.
  • Troubleshoot complex data pipeline and processing issues and provide effective technical solutions.
  • Contribute to modern Databricks capabilities such as Delta Live Tables (DLT), Unity Catalog, and Structured Streaming where applicable.
Qualifications

Required Skills

  • 6+ years of overall IT experience, including 5+ years of Data Engineering experience.
  • Strong hands-on experience with Databricks.
  • Strong expertise in PySpark, Spark SQL, and Delta Lake.
  • Strong programming skills in Python and SQL.
  • Proven experience building scalable ETL/ELT pipelines.
  • Experience with Azure, AWS, or GCP, preferably Azure.
  • Experience with Azure Data Factory (ADF) and/or Airflow.
  • Strong understanding of data modeling and data warehousing.
  • Experience with data pipeline and query performance optimization.
  • Hands-on experience with Git, CI/CD, and DevOps practices.
  • Strong analytical, problem-solving, collaboration, and communication skills.

Preferred Skills

  • Delta Live Tables (DLT)
  • Unity Catalog
  • Structured Streaming
  • Azure cloud data services
  • Experience working with large-scale enterprise data platforms.

Additional Information

All your information will be kept confidential according to EEO guidelines.

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