1

Data Associate Jobs in Vancouver, WA (NOW HIRING)

Data Engineer

Beaverton, OR ยท On-site

$119K - $143K/yr

Associates degree + 11 yrs; High School + 12 yrs. Comments for Suppliers: Must be onsite at Client HQ in Beaverton for Hybrid schedule, 4:1. Data engineers build and maintain systems that collect ...

Data Engineer - Senior Manager

Portland, OR ยท On-site

$124K - $280K/yr

... Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data ...

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary ...

Job Summary : AA2IT is seeking a Data Center Technician to provide on-site support for the ... associate's degree โ€ข Accredited training in the installation of copper and fiber structured ...

Data Center Tech

Hillsboro, OR ยท On-site

$24/hr

Data Center IT Technician Location: 4951 NE Huffman St, Hillsboro OR Rate: $24/HR Hours: M-F 9am ... High School Diploma/GED required, associate's degree preferred. 2-4 years of experience in computer ...

Data Center Tech

Hillsboro, OR ยท On-site

$24/hr

Data Center IT Technician Location: 4951 NE Huffman St, Hillsboro OR Rate: $24/HR Hours: M-F 9am ... High School Diploma/GED required, associate's degree preferred. 2-4 years of experience in computer ...

Data Engineer 5

Beaverton, OR ยท 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 ...

We have more than 6,400 employees and associates in our partner dental practices and operate ... The Director is responsible for advancing how Sun Life US uses data science, GenAI, and emerging AI ...

next page

Showing results 1-20

Data Associate information

See Vancouver, WA salary details

$15

$34

$58

How much do data associate jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for data associate in Vancouver, WA is $34.63, according to ZipRecruiter salary data. Most workers in this role earn between $25.67 and $41.01 per hour, depending on experience, location, and employer.

What is a data associate?

Data Associates are professionals who collect, manage, process, and ensure the quality of data within an organization. They often work with databases, spreadsheets, and software tools to organize and validate data, making it accessible and accurate for analysis and reporting. Data Associates may also assist with data entry, cleaning, and basic analysis tasks, supporting teams like data analysts or data scientists. Their work is crucial for maintaining reliable information that drives business decisions.

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

To thrive as a Data Associate, you need strong analytical skills, attention to detail, and a solid foundation in data management or statistics, often supported by a bachelor's degree in a related field. Familiarity with data analysis tools such as Excel, SQL, and sometimes Python or data visualization software is commonly required. Excellent organization, problem-solving abilities, and effective communication help individuals stand out in this role. These skills ensure accurate data handling, reliable reporting, and clear collaboration across teams, which are critical for data-driven decision-making.

How does a data associate typically collaborate with other teams within an organization?

Data Associates frequently work alongside analysts, engineers, and business stakeholders to ensure data accuracy and accessibility. They may be responsible for gathering data from various sources, cleaning datasets, and supporting the data needs of other departments. Effective communication and teamwork are essential, as Data Associates often receive requests for reports or data updates and must coordinate with technical and non-technical colleagues to deliver actionable insights. This collaborative environment helps Data Associates learn about different business functions and can open doors for career growth.

What is the difference between Data Associate vs Data Analyst?

AspectData AssociateData Analyst
Required CredentialsBachelor's degree in related field, basic data handling skillsBachelor's or higher, often with specialized training in data analysis or statistics
Work EnvironmentData entry, data cleaning, supporting data management teamsAnalyzing data, creating reports, interpreting data trends
Employer & Industry UsageCommon in healthcare, finance, and tech companies for data support rolesUsed across industries for data-driven decision making

Data Associates focus on data entry, cleaning, and supporting data management tasks, often requiring basic technical skills. Data Analysts perform deeper analysis, interpret data, and generate insights, typically needing more advanced analytical skills. Both roles are essential in data-driven organizations but differ in complexity and responsibilities.

What are the most commonly searched types of Data jobs in Vancouver, WA?

The most popular types of Data jobs in Vancouver, WA are:

What are popular job titles related to Data Associate jobs in Vancouver, WA?

For Data Associate jobs in Vancouver, WA, the most frequently searched job titles are:

What job categories do people searching Data Associate jobs in Vancouver, WA look for?

The top searched job categories for Data Associate jobs in Vancouver, WA are:

What cities near Vancouver, WA are hiring for Data Associate jobs?

Cities near Vancouver, WA with the most Data Associate job openings:

Infographic showing various Data Associate job openings in Vancouver, WA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $72,026 per year, or $34.6 per hour.

Data Engineer

campus4tech

Beaverton, OR โ€ข On-site

$119K - $143K/yr

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Job Title- Data Engineer 5
Location- Beaverton, OR, United States, 97005
Reporting Type- Onsite
Duration: 9+ Months
Summary
GT Title: Data Engineer
Requirements
Typically requires a Bachelors Degree and minimum of 10 years directly relevant experience; experience should include comprehensive experience as a business/process leader or industry expert Note: One of the following alternatives may be accepted: - PhD or Law + 8 yrs; Masters + 9 yrs; Associates degree + 11 yrs; High School + 12 yrs.
Comments for Suppliers: Must be onsite at Client HQ in Beaverton for Hybrid schedule, 4:1.
Data engineers build and maintain systems that collect, manage, and transform data into usable information. They work with large amounts of data from various sources, and ensure that data is accessible and flows smoothly to its destination.
Must have 4-6 years of experience with:
Databricks
AWS
Apache Spark
Python
PySpark
Previous Clients experience a plus. Any ETWs let go at the end of 05/31 can be considered since a 90 day break would be fulfilled.
Skills
Data engineer
Responsibilities
Establishes database management systems, standards, guidelines and quality assurance for database deliverables, such as conceptual design, logical database, capacity planning, external data interface specification, data loading plan, data maintenance plan and security policy. Documents and communicates database design. Evaluates and installs database management systems. Codes complex programs and derives logical processes on technical platforms. Builds windows, screens and reports. Assists in the design of user interface and business application prototypes. Participates in quality assurance and develops test application code in client server environments. Provides expertise in devising, negotiating and defending the tables and fields provided in the database. Adapts business requirements, developed by modeling/development staff and systems engineers, and develops the data, database specifications, and table and element attributes for an application. At more experienced levels, helps to develop an understanding of client's original data and storage mechanisms. Determines appropriateness of data for storage and optimum storage organization. Determines how tables relate to each other and how fields interact within the tables for a relational model.