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

VDart

Data Engineer

Portland, OR · On-site

$121.40K - $145.80K/yr

Contract Skills: AWS, Snowflake Skill Requirements * Proficiency in snowflake for data warehousing ... Solid expertise in AWS (data engineering services and integrations). * Experience with enterprise ...

BizTek People

Sr Data Analyst

Beaverton, OR · On-site

$90.80K - $114.60K/yr

Job Posting Job Information Job Opening ID 6649 Date Opened 08/19/2020 Job Type Contract Language ... Engage with product owner, technology lead, report developers, product analysts, and business ...

BizTek People

Data Engineer

Portland, OR · On-site

$121.40K - $145.80K/yr

Job Opening Job Opening ID 6039 Date Opened 11/08/2019 Job Type Contract Language Skills English ... Identify and solve issues concerning data management to improve data quality * Clean, prepare and ...

BizTek People

Data Engineer Snowflake

Beaverton, OR · On-site

$120.90K - $145.20K/yr

Job Posting Job Information Job Opening ID 9423 Date Opened 01/10/2024 Job Type Contract Language ... and systems engineers, and develops the data, database specifications, and table and element ...

BizTek People

Senior Data Engineer

Beaverton, OR · On-site

$111.90K - $152.10K/yr

Job Posting Job Information Job Opening ID 5725 Date Opened 08/19/2019 Job Type Contract Language ... Work with architecture/engineering leads and other teams to ensure quality solutions are ...

BizTek People

Sr. Data Engineer

Beaverton, OR · On-site

$111.90K - $152.10K/yr

Job Opening Job Opening ID 7716 Date Opened 09/08/2021 Job Type Contract Language Skills English ... data needs · Work with engineering leads and other teams to ensure quality solutions are ...

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Contract Data Engineering information

See Portland, OR salary details

$47.2K

$137.6K

$188.2K

How much do contract data engineering jobs pay per year?

As of May 28, 2026, the average yearly pay for contract data engineering 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 key skills and qualifications needed to thrive as a Contract Data Engineer, and why are they important?

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 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 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 Portland, OR? The most popular types of Data Engineering jobs in Portland, OR are:
What are popular job titles related to Contract Data Engineering jobs in Portland, OR? For Contract Data Engineering jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Contract Data Engineering jobs in Portland, OR look for? The top searched job categories for Contract Data Engineering jobs in Portland, OR are:
What cities near Portland, OR are hiring for Contract Data Engineering jobs? Cities near Portland, OR with the most Contract Data Engineering job openings:
Contract Data Engineering jobs near you
Infographic showing various Contract Data Engineering job openings in Portland, OR as of May 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $137,565 per year, or $66.1 per hour.

Data Engineer

VDart

Portland, OR • On-site

$121.40K - $145.80K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Job Title: Data Engineer - Snowflake / AWS
Location: - Portland, Oregon -Onsite
Duration: Contract
Skills: AWS, Snowflake
Skill Requirements
  • Proficiency in snowflake for data warehousing and cloud data platform.
  • Strong hands-on experience with Snowflake (data modeling, performance tuning, cost optimization).
  • Solid expertise in AWS (data engineering services and integrations).
  • Experience with enterprise data warehousing and large-scale system integrations.
  • Some exposure to UI or data visualization layers is beneficial.
  • Experience with dbt (data build tool) for data transformation and modeling.
  • Strong command of sql for querying and manipulating data in databases.
  • Proficient in python programming for scripting, automation, and data manipulation.
  • Excellent problem-solving skills and the ability to communicate effectively with technical and nontechnical stakeholders.
  • Strong leadership skills to effectively lead and motivate technical teams towards project success.
Key Responsibilities
  • Lead and manage technical teams in the development and implementation of snowflake data solutions.
  • Design, build, and optimize data models using snowflake and dbt for efficient data processing.
  • Develop and optimize sql queries for data extraction, transformation, and loading processes.
  • Utilize python for scripting and automation of data processes and workflows.
  • Collaborate with cross functional teams to understand data requirements and ensure the successful delivery of technical solutions.
  • Conduct code reviews, provide technical guidance, and mentor team members to enhance overall technical capabilities.
  • Troubleshoot technical issues and provide resolutions in a timely manner to ensure smooth project execution

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