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Weekend Data Engineer Contract Jobs in Portland, OR

BuzzClan LLC

Data Engineer - Databricks

Beaverton, OR · On-site

$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 ...

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 ...

BuzzClan LLC

Data Engineer - Databricks

Beaverton, OR · On-site

$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 ...

Russell, Tobin & Associates

Data Engineer 5

Beaverton, OR · On-site

$70 - $78/hr

Data Engineer Location: Beaverton, OR - Hybrid (4 days onsite / 1 day remote per week) Duration ... Contract role - 9+ months Pay Rate Range: $70 - $78 per hour (DOE) Responsibilities: * Build and ...

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 JobsData Engineer Contract JobsWeekend Data Engineer Contract JobsWeekend Data Engineer Contract Jobs in Portland, OR

Weekend Data Engineer Contract information

See Portland, OR salary details

$47.2K

$137.6K

$188.2K

How much do weekend data engineer contract jobs pay per year?

As of Sep 4, 2026, the average yearly pay for weekend 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 is a Weekend Data Engineer Contract?

A Weekend Data Engineer Contract is a temporary or freelance position where a data engineer works primarily on weekends. These roles typically involve building, maintaining, or optimizing data pipelines and databases, ensuring data quality, and supporting analytics needs during weekend shifts. This setup is often used by companies that require continuous data operations or have projects with tight deadlines. Weekend contracts can provide flexibility for both the engineer and the employer, and may be ideal for those seeking additional income or balancing other commitments.

What are some common challenges faced by Weekend Data Engineer Contractors, and how can they overcome them?

Weekend Data Engineer Contractors often encounter challenges such as limited access to stakeholders, tight turnaround times, and ensuring smooth handovers with weekday teams. To address these, clear documentation, proactive communication, and strong version control practices are essential. Working autonomously but staying aligned with the broader data engineering team helps ensure continuity and quality in deliverables.

What are the key skills and qualifications needed to thrive as a Weekend Data Engineer Contractor, and why are they important?

To thrive as a Weekend Data Engineer Contractor, you need strong proficiency in data engineering principles, including ETL processes, database management, and programming languages like Python or SQL, often supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS or Azure), big data tools (like Spark or Hadoop), and relevant certifications (e.g., AWS Certified Data Analytics) is typically required. Strong problem-solving, effective communication, and the ability to work independently are crucial soft skills for this role. These skills and qualifications ensure high-quality, reliable data solutions are delivered efficiently during limited weekend hours, meeting project deadlines and client expectations.

What is the difference between Weekend Data Engineer Contract vs Weekend Data Analyst Contract?

AspectWeekend Data Engineer ContractWeekend Data Analyst Contract
Required CredentialsTypically requires a degree in Computer Science, Data Engineering certifications, SQL, Python, and cloud platform knowledgeUsually requires a degree in Data Science, Statistics, or related fields, with proficiency in SQL, Excel, and data visualization tools
Work EnvironmentPrimarily technical, involving building data pipelines, ETL processes, and data infrastructureFocuses on analyzing data, generating reports, and providing insights for decision-making
Employer & Industry UsageUsed in tech companies, finance, healthcare, and industries with large data needsCommon in marketing agencies, retail, finance, and any sector requiring data reporting

Weekend Data Engineer Contracts involve building and maintaining data infrastructure, requiring technical skills and certifications. In contrast, Weekend Data Analyst Contracts focus on analyzing data and creating reports. Both roles are in demand across various industries but serve different functions within data teams.

What are popular job titles related to Weekend Data Engineer Contract jobs in Portland, OR?

For Weekend Data Engineer Contract jobs in Portland, OR, the most frequently searched job titles are:

What job categories do people searching Weekend Data Engineer Contract jobs in Portland, OR look for?

The top searched job categories for Weekend Data Engineer Contract jobs in Portland, OR are:

Weekend Data Engineer Contract jobs near you
Infographic showing various Weekend Data Engineer Contract job openings in Portland, OR as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $137,565 per year, or $66.1 per hour.

Data Engineer - Databricks

BuzzClan LLC

Beaverton, OR • On-site

$119K - $143K/yr

Contractor

Posted 7 days ago

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.

Apply