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Data Coder Jobs in Seattle, WA (NOW HIRING)

Futran Tech Solutions Pvt. Ltd.

Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Customer facing code development and review of dev * TSQL queries Performance tuning * Proven experience in strong Data Analysis dealing with large volume of datasets * Proven experience in Design ...

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 ...

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 ...

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 ...

Futran Tech Solutions Pvt. Ltd.

Data Engineer

Bellevue, WA · On-site

$128K - $154K/yr

... code base for multiple data products • Process structured and unstructured data, validate data quality, and help design data quality tests in a big data environment • Facilitate end-to-end ...

Apple

Software Data Engineer

Seattle, WA

$139K - $258K/yr

Write clean, well-tested, production-quality code in Java as the primary language, with Scala, Go ... non-relational data stores * Participate in operational responsibilities including on-call ...

Zortech Solutions

Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Customer facing code development and review of dev * TSQL queries Performance tuning * Proven experience in strong Data Analysis dealing with large volume of datasets * Proven experience in Design ...

Walmart

Principal, Data Scientist

Bellevue, WA · Remote

Principal, Data Scientist - Code Puppy AI & Data | Walmart Global Tech Position Summary Join the Associate AI Experiences team to apply advanced data science, machine learning, and agentic AI to ...

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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 Jun 21, 2026, the average hourly pay for data coder in Seattle, WA is $31.29, according to ZipRecruiter salary data. Most workers in this role earn between $21.63 and $39.38 per hour, depending on experience, location, and employer.

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

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.

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.

Who is the highest paid coder?

The highest paid coders are typically experienced software engineers or developers working in specialized fields such as artificial intelligence, machine learning, or blockchain technology. Senior roles in tech companies or those with expertise in in-demand programming languages like Python, Java, or C++ tend to command the highest salaries, often exceeding six figures annually.

How to become a data coder?

To become a data coder, you typically need a high school diploma or equivalent, along with skills in data entry, coding, and familiarity with data management tools like Excel or specialized software. Gaining experience through internships or entry-level positions and developing attention to detail are important, and some roles may require knowledge of programming languages such as Python or SQL.

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.

What does a data coder do?

A data coder is responsible for reviewing, categorizing, and entering data into databases or systems, often using coding schemes or classification standards. They ensure data accuracy and consistency, frequently working with spreadsheets or data management software, and may require attention to detail and knowledge of coding protocols.
Data Coder jobs near you
Sr. Data Scientist

Sr. Data Scientist

Divisions Maintenance Group

Seattle, WA

Full-time

Medical, Dental, Vision, Retirement, PTO

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

115th of 210 rated facilities management

Job description

Title: Sr. Data Scientist

Reports To: Director of Engineering

Department: Product & Engineering

Location: Cincinnati, OH or Seattle, WA

Position Status: Salary Exempt

About DMG:

Divisions Maintenance Group provides facility maintenance services to retail chains and distribution and fulfillment centers across the country.

We are leading the way with our technology, creating world-class products that are revolutionizing the industry and fulfilling our brand promise of “Uninterrupted Peace of Mind.”

DMG is a Certified Great Place to Work with a strong, inclusive culture and top-notch benefits.

Job Summary:

We are currently building out a Marketplace Health and Pricing teams and as part of it building a Data Science practice, with the goal of better leveraging advanced analytic solutions. We believe analytics will be a game-changer in the industries we operate in, and we are seeking a Data Scientist to help build and scale our data science and software engineering capabilities. At the outset, you will work on scaled and unique matching and pricing opportunities.

We are a fast-paced, entrepreneurial team – this role will work across many different stakeholders to understand their needs and design solutions suitable for use across the industries we operate in. The ideal candidate will bring demonstrated experience in structured problem solving, model building and tuning, building production level analytics products, data collection & cleansing, analytics execution, and communication of meaningful insights to diverse audiences of varying seniority and familiarity with analytic concepts. We have a fully cloud native stack built primarily on AWS.

What You'll Do:

  • 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.

    • What You Need:

  • 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.

    • What You'll Get:

    At DMG, you’ll be part of an amazing team that encourages learning, growth, and advancement. Our company has an entrepreneurial spirit that rewards self-starters and encourages employees to take charge of their own careers. 

    Some of our many benefits include:

  • Health, dental and vision coverage on day 1.
  • Dollar-for-dollar 401K match up to 4% of salary with immediate 100% vesting.
  • Paid Primary and Secondary Caregiver leave.
  • Employee Assistance Program to assist with everyday challenges.
  • Paid time off to volunteer.

    • Divisions Maintenance Group is an equal opportunity employer.

    Apply