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Data Cleaning Jobs in Seattle, WA (NOW HIRING)

Systimmune

Clinical Data Manager

Redmond, WA · On-site

$100 - $170/hr

Independently lead data cleaning activities such as, but not limited to, study team data reviews, Non‑system Edit Check Output review, SAE reconciliation, and non‑CRF data reconciliation. Gather ...

Systimmune

Clinical Data Manager

Redmond, WA · On-site

$100K - $170K/yr

Independently lead data cleaning activities such as, but not limited to, study team data reviews, Non-system Edit Check Output review, SAE reconciliation, and non-CRF data reconciliation. Gather ...

SystImmune, Inc

Clinical Data Manager

Redmond, WA · On-site

$100K - $170K/yr

Independently lead data cleaning activities such as, but not limited to, study team data reviews, Non-system Edit Check Output review, SAE reconciliation, and non-CRF data reconciliation. Gather ...

Adobe

Data Science Engineer

Seattle, WA · On-site

$130K - $156K/yr

This rolerepresentsan end-to-end data scientist involved in everyfacetof every project such as data cleaning, predictive modeling, and storytelling. The typical day involves the following activities:

King County, WA

PME Data Engineer

Seattle, WA · On-site

$121K - $153K/yr

Lead data cleaning, management, and validation efforts to ensure the completeness and accuracy of data used to support measurement and evaluation. * Identify, design, and implement internal process ...

ServiceMaster

Contents Cleaning Technician

Everett, WA · On-site

$17 - $22/hr

Experience with entering data using a tablet or mobile phone * Report to work on time in a clean, complete uniform * Read and follow product label usage instructions * Attention to detail and ability ...

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All JobsData Cleaning JobsData Cleaning Jobs in Seattle, WA

Data Cleaning information

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How much do data cleaning jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for data cleaning in Seattle, WA is $44.91, according to ZipRecruiter salary data. Most workers in this role earn between $18.21 and $71.81 per hour, depending on experience, location, and employer.

What is a data cleaning?

A Data Cleaning job involves identifying and correcting errors, inconsistencies, and inaccuracies in datasets to ensure high-quality data for analysis. This process includes removing duplicate records, filling in missing values, standardizing formats, and eliminating irrelevant or erroneous data. Data cleaning helps improve data accuracy, reliability, and usability for business intelligence, machine learning, and decision-making. Professionals in this role typically work with databases, spreadsheets, and data management tools to refine raw data into a structured and meaningful format.

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

To thrive in Data Cleaning, you need a strong attention to detail, analytical skills, and a solid understanding of data management practices, often supported by training or coursework in data science, statistics, or information technology. Familiarity with tools like Microsoft Excel, SQL, Python (with libraries such as pandas), or specialized data cleaning software is highly valuable. Excellent problem-solving abilities, persistence, and effective communication are important soft skills for identifying and addressing data inconsistencies while collaborating with other team members. These skills are essential to ensure that datasets are accurate, reliable, and ready for analysis, leading to trustworthy business insights.

What are the most common challenges faced by professionals in data cleaning roles?

One of the biggest challenges in data cleaning is dealing with incomplete, inconsistent, or duplicate data from multiple sources, which often requires creative problem-solving and close attention to detail. Communicating with team members to clarify data definitions and intended use is also a frequent part of the job, as misinterpretations can lead to errors. Additionally, deadlines and large datasets can make the role fast-paced, so strong organizational skills and efficiency are important. However, overcoming these challenges offers valuable experience and plays a crucial role in ensuring the success of projects that depend on high-quality data.

What skills are needed for data cleaning?

Data cleaning requires skills in data analysis, attention to detail, and proficiency with tools like Excel, SQL, or data cleaning software. Knowledge of data formats, basic programming (e.g., Python or R), and understanding of data quality principles are also important for effective data cleaning tasks.

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

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

What are popular job titles related to Data Cleaning jobs in Seattle, WA?

For Data Cleaning jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Data Cleaning jobs in Seattle, WA look for?

The top searched job categories for Data Cleaning jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Data Cleaning jobs?

Cities near Seattle, WA with the most Data Cleaning job openings:

Data Cleaning jobs near you
Infographic showing various Data Cleaning job openings in Seattle, WA as of August 2026, with employment types broken down into 70% Full Time, and 30% Part Time. Highlights an 100% In-person job distribution, with an average salary of $93,409 per year, or $44.9 per hour.

Business Intelligence Analyst/Data Engineer

Syntricate Technologies

Seattle, WA • On-site

Full-time

Re-posted 4 days ago

Job description

Job Summary:
Syntricate Technologies is seeking a Business Intelligence Analyst/Data Engineer to enhance data-driven decision-making processes. The role involves data analysis, supporting business strategies, and implementing algorithms for data analysis.
Responsibilities:
• Define and specify data analysis target and support modeling / verification / test / application.
• Research and support the insight to support decision making in the areas of business direction/market strategy/product strategy.
• Support methods to verify the effect of decision on business (A/B Test, Simulator).
• Support implementing, evaluating and verifying algorithms for data analysis.
Qualifications:
Required:
• Experience in data visualization, data cleaning, data manipulation (extract, transform, load), and tool usage of Talend, SSIS, DataStage, Oracle Data Integrator
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Databases - MS SQL/Oracle/Teradata/NoSQL DB
• Strong analytical skills and ability to interpret complex data
• Experience in performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large datasets.
• Excellent communication abilities in English communication skill, in written and oral.
• Familiarity with the Azure Cloud ecosystem
• Education: Bachelors or master's degree in computer science or related technical discipline
Company:
Syntricate Technologies offers quality assurance, validation, regulatory, business analysis, and project management services. Founded in 2004, the company is headquartered in Boston, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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