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Data Coder Jobs in Seattle, WA (NOW HIRING)

Tensec

Sr. Data Scientist

Seattle, WA · On-site

$100 - $130/hr

Write production level code for robust analytics products. * Collaborate with data and software engineers to support data science solutions through the entire product lifecycle, including data ...

Socket.dev

Senior Data Scientist

Seattle, WA · On-site

$120 - $150/hr

Support sandboxed/non‑production data problem solving (branch/transform/test/audit code+data experiments). * Evaluate/curate analytical context (instructions, memory, tools, warehouse context ...

Xealth

Software Engineer, Data Platform

Seattle, WA · On-site

$130K - $156K/yr

Data Ingestion: Ability to consume and process high-volume bounded and unbounded data, manage real ... Use AI-assisted coding tools (e.g., Claude, GitHub Copilot) to accelerate delivery and raise ...

Xealth

Software Engineer, Data Platform

Seattle, WA

$130K - $156K/yr

Data Ingestion: Ability to consume and process high-volume bounded and unbounded data, manage real ... Use AI-assisted coding tools (e.g., Claude, GitHub Copilot) to accelerate delivery and raise ...

Xealth

Software Engineer, Data Platform

Seattle, WA

$130K - $156K/yr

Data Ingestion: Ability to consume and process high-volume bounded and unbounded data, manage real ... Use AI-assisted coding tools (e.g., Claude, GitHub Copilot) to accelerate delivery and raise ...

Staffingine LLC

Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Data Engineer Job Location: Bellevue - Washington Job Type: Contract to Hire * Design build and ... Mentor junior engineers and contribute to architectural decisions and code reviews * Participate in ...

1 point system

Ex Amazon Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Write, test, and deploy well-written, maintainable, and secure production code. * Implement data quality checks, validation, and monitoring for compliance-critical datasets. * Extend existing ...

Pyramid IT

Network Data Analysis

Redmond, WA

Founded 1996 Coding Experience Powershell, C#, or Python Deep Network experience - (3-4 years ... Innovate data-driven methods to review firewall access control lists and network flow data. Create ...

magniX

Data Analyst

Everett, WA · On-site

Identify inconsistencies in data (e.g., project codes, cost center IDs, naming conventions) across systems and work with stakeholders to resolve them at the source. * Build and maintain basic data ...

CyberProof

Associate Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Responsibilities : • Execute assigned components of solution designs handed off by Senior and Data Engineers, delivering production-grade code under senior engineer guidance. • Land source data ...

MAGNIX USA INC

Data Analyst

Everett, WA · On-site

$90K - $130K/yr

Identify inconsistencies in data (e.g., project codes, cost center IDs, naming conventions) across systems and work with stakeholders to resolve them at the source. * Build and maintain basic data ...

Amazon

Data Engineer, Amazon Fuse

Seattle, WA

$130K - $156K/yr

You use AI tools (e.g., coding assistants, generative AI) to accelerate pipeline development, improve code quality, and automate repetitive data engineering tasks while building and maintaining data ...

Amazon

Data Engineer, Amazon Fuse

Seattle, WA

$130K - $156K/yr

You use AI tools (e.g., coding assistants, generative AI) to accelerate pipeline development, improve code quality, and automate repetitive data engineering tasks while building and maintaining data ...

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Showing results 21-40

All JobsData Coder JobsData Coder Jobs in Seattle, WA

Data Coder information

See Seattle, WA salary details

$18

$31

$49

How much do data coder jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for data coder in Seattle, WA is $31.41, according to ZipRecruiter salary data. Most workers in this role earn between $21.68 and $39.57 per hour, depending on experience, location, and employer.

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

To thrive as a Data Coder, you need strong analytical skills, attention to detail, and a background in information management or health information technology, often supported by certification such as Certified Coding Specialist (CCS). Familiarity with coding systems like ICD-10, CPT, and healthcare databases, as well as proficiency in data entry software, is typically required. Excellent organizational skills, integrity, and the ability to communicate clearly with other healthcare professionals help set top performers apart. These skills ensure accurate coding, compliance with regulations, and reliable data for billing, reporting, and patient care.

What are some common challenges data coders face when working with large and complex datasets?

Data Coders often encounter challenges such as inconsistent data formats, missing values, and ambiguous information when handling large and complex datasets. Ensuring data accuracy and maintaining consistency across different sources can be time-consuming and requires strong attention to detail. Effective communication with team members, such as data analysts and project managers, is also essential to clarify coding guidelines and resolve uncertainties. Proactively addressing these challenges helps Data Coders maintain high-quality datasets and contribute to reliable data analysis.

What is the difference between Data Coder vs Data Entry Clerk?

AspectData CoderData Entry Clerk
Required CredentialsHigh school diploma, coding certifications (e.g., ICD, CPT)High school diploma or equivalent
Work EnvironmentHealthcare, insurance, or data management settingsOffices, administrative settings
Employer & Industry UsageHospitals, insurance companies, healthcare providersBusinesses, government agencies, offices
Common Search & ComparisonOften compared for data processing and coding accuracyCompared for data input speed and accuracy

Data Coders focus on translating medical or technical data into standardized codes, requiring specific certifications. Data Entry Clerks primarily input data into systems, emphasizing speed and accuracy. While both roles handle data, Data Coders require specialized knowledge, especially in healthcare coding, whereas Data Entry Clerks focus on general data input tasks.

How much do data coders make?

Data coders typically earn between $30,000 and $50,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced coders with specialized skills can earn higher salaries, especially if they work with advanced data management tools or certifications.

What does a data coder do?

A data coder is responsible for reviewing, categorizing, and coding data, often from surveys, interviews, or other sources, to ensure consistency and accuracy for analysis. They typically use coding manuals or software tools and may need attention to detail and knowledge of data management practices.
Data Coder jobs near you
Infographic showing various Data Coder job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $65,330 per year, or $31.4 per hour.

Sr. Data Scientist

Divisions Maintenance Group

Seattle, WA • On-site

Full-time

Re-posted 12 days ago

Divisions Maintenance Group rating

6.5

Company rating: 6.5 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

151st of 254 rated facilities management

Job description

Job Summary:
Divisions Maintenance Group is a provider of facility maintenance services, focused on leveraging technology to improve their offerings. They are seeking a Senior Data Scientist to build and scale their data science practice, working closely with stakeholders to develop analytics solutions and communicate insights effectively.
Responsibilities:
• Partnering with stakeholders to translate complex business problems into data science and advanced analytics solutions.
• Write production level code for robust analytics products.
• Collaborate with data and software engineers to support data science solutions through the entire product lifecycle, including data wrangling, exploratory analysis, hypothesis testing, modeling, rapid prototyping, business validation and testing, and deployment.
• Leverage a diverse set of large and unstructured data to derive meaningful insights and information sets.
• Apply a variety of advanced analytical techniques including predictive modeling, machine learning, time series analysis, simulation, and optimization.
• Clearly and concisely synthesize and communicate findings to make thoughtful recommendations by combining business savvy with analytic rigor to technical and non-technical audiences.
• Maintain expertise and awareness of emerging data science techniques, technologies, and potential business applications for AI/ML.
Qualifications:
Required:
• Master’s degree in an analytical field such as Data Science, Computer Science, Applied Mathematics, Operations Research or Economics. 3 additional years of related experience may be substituted in lieu of a degree.
• 8+ years of relevant data science or software engineering experience developing and deploying production models and writing production code for analytics products.
• Experience working with a variety of statistical and modeling techniques including hypothesis testing, supervised learning (classification and regression), forecasting, unsupervised clustering, and optimization.
• Experience with Python and SQL including building python packages.
• Experience gathering, interpreting, and translating business requirements into analytical solutions.
• Demonstrated ability to communicate complex analytical concepts and results at multiple levels to technical and non-technical audiences.
• Experience with code version control platforms like GitHub, GitLab, or Azure DevOps.
• Experience working with data science and analytics teams to develop complex analytics products that have been successfully delivered to customers.
• Experience with large-scale data wrangling using databases or Spark.
• Knowledge of software engineering best practices for full software development life cycle, including coding standards, code reviews, source control management, continuous deployments, and testing.
• Experience working with docker containers.
• Experience working with APIs.
• Experience working with a UI or web framework.
• Ability to manage the stress of a fast-paced environment.
• Ability to meet the in-person requirements of the team and/or business needs.
Company:
Divisions Maintenance Group provides facility maintenance services for commercial, industrial and residential multisite organizations nationwide. Founded in 1999, the company is headquartered in Cincinnati, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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