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Data Coding Jobs in Missouri (NOW HIRING)

Kforce Technology Staffing

Data Engineer

Saint Louis, MO · On-site

$108.50K - $130.30K/yr

The role also involves participating in code reviews and promoting engineering best practices throughout the data organization. REQUIREMENTS: * Bachelor's degree in Computer Science, Engineering, or ...

JNIT INC

Data Modeler

Saint Louis, MO

$52 - $67.25/hr

... coding, and corrections. Write manuals for users to describe installation and operating procedures Education/Experience: Bachelor's degree in Computer Science, MIS, related field or equivalent ...

Walmart

Principal, Data Scientist

Anderson, MO · Remote

$110K - $220K/yr

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 ...

Walmart

Principal, Data Scientist

Noel, MO · Remote

$110K - $220K/yr

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 ...

Walmart

Principal, Data Scientist

Cassville, MO · Remote

$110K - $220K/yr

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 ...

JNIT INC

Data Modeler

Saint Louis, MO · On-site

$52 - $67.25/hr

... coding, and corrections. Write manuals for users to describe installation and operating procedures Education/Experience: Bachelor's degree in Computer Science, MIS, related field or equivalent ...

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$8

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How much do data coding jobs pay per hour?

As of May 30, 2026, the average hourly pay for data coding in Missouri is $25.76, according to ZipRecruiter salary data. Most workers in this role earn between $14.24 and $31.40 per hour, depending on experience, location, and employer.

What is a Data Coding job?

A Data Coding job involves organizing, labeling, and categorizing data to prepare it for analysis. This can include coding survey responses, tagging content, or structuring raw data for machine learning models. Professionals in this role often work with large datasets, ensuring accuracy and consistency. Data Coding is essential for transforming unstructured information into a structured format that can be easily analyzed.

What are the key skills and qualifications needed to thrive in the Data Coding position, and why are they important?

To thrive in Data Coding, you need strong attention to detail, data analysis abilities, and a solid understanding of coding systems or data classification procedures, often supported by experience in data management or health information fields. Familiarity with software tools such as Microsoft Excel, databases, and specialized coding platforms, as well as relevant certifications like Certified Professional Coder (CPC), is common. Strong organizational skills, the ability to work independently, and clear communication are valuable soft skills in this role. These skills are essential to ensure data accuracy, maintain consistency, and support effective data processing for organizational decision-making.

What are the typical daily responsibilities of a Data Coding professional?

Data Coding professionals are responsible for reviewing, classifying, and entering data into databases according to established coding guidelines. On a typical day, you may work closely with raw datasets, accurately apply standardized codes, and validate entries to ensure data integrity. Collaboration with other data specialists or team members is often required to resolve discrepancies and support large-scale projects. Attention to deadlines and consistent quality checks are key aspects of the role. This position offers valuable hands-on experience with data systems, which can be a great stepping stone to advanced roles in data analysis or data management.
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Data Coding jobs near you

Journeyman Data Scientist

Freedom Technology Solutions Group

Saint Louis, MO • On-site

Other

Posted 6 days ago

Job description

Freedom Technology Solutions Group is seeking a Data Scientist that combines strong technical expertise with analytical rigor and business acumen to transform data into actionable insights. Proficient in programming languages such as Python and SQL, they are skilled in data wrangling, statistical analysis, and machine learning techniques to build and evaluate predictive models. They possess a deep understanding of probability, experimentation, and model performance, enabling them to select appropriate methods and ensure reliable results. Beyond technical capabilities, they excel at problem framing, critical thinking, and translating complex findings into clear, impactful narratives for stakeholders. With an awareness of data pipelines, cloud environments, and scalable architectures, they operate effectively within modern data ecosystems, ultimately driving informed decision-making and measurable organizational value. 

Responsibilities: 

  • Reports to a manager or head of a unit/department on a weekly basis.
  • Management of data processes and procedures for the team.
  • Providing metrics, reports, and presentations as requested by the government lead and PM
  • Work to improve efficiency with team processes
  • Contribute to team discussions and recommend improvements.
  • Guides and supports junior level personnel
  • Conduct root cause problem analysis and develop technical solutions to problems 

Key Technologies:

  • Microsoft Word, PowerPoint and Excel
  • Knowledge of supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), model evaluation (precision, recall, F1, ROC-AUC), feature engineering, and overfitting vs underfitting.
  • Knowledge of probability & distributions, hypothesis testing (A/B testing), regression (linear, logistic), Bayesian thinking, and experimental design.
  • Data Wrangling and Feature Engineering
  • Data Visualization and storytelling (Tableau, Matplotlib, Power BI
  • Knowledge of ETL processes, data pipelines and APIs/data integration
  • Cloud platforms (AWS, Azure, Google Cloud)
  • Understanding services (e.g., EC2, Lambda, S3, Kubernetes Services)
  • DevSecOps & Automation
  • Understanding of GitLab CI/CD, Databases (joins aggregations, performance tuning), Big data tools (Spark, Hadoop), Data manipulation (Pandas, NumPy), and programming.
  • Agile, DevSecOps, & Development Lifecycle Tools
  • SonarQube, Nexus, etc. for code and dependency scanning 

Required Qualifications:

  • Active TS/SCI security clearance (eligible for CI Poly).
  • Bachelor's required; Master's degree or PhD (preferred) in Data Science, Physics, Engineering, Mathematics or related quantitative science field.  
  • 3-8 years of experience
  • Ability to develop and use more complex concepts and processes
  • Significant applied knowledge of Data Engineering.
  • Strong understanding of the systems engineering lifecycle to include independent testing and data verification.
  • Ability to lead/manage any data-related project with no supervision.
  • Strong written and oral communication skills to include briefing and creation of presentations.
  • Ability to visualize results and explain problem solving steps to increase understanding to all levels
  • Ability to develop algorithm description documentation for software development.
  • Simulation and modeling experience.
  • Working knowledge and practical application of data wrangling (handling missing data, data cleaning and normalization, transforming raw data into usable features, and working with structured + unstructured data.
  • Self-starter with the ability to learn, research, and solve problems on their own accord.
  • Works mostly independent  

Desired Qualifications:

  • Knowledge of secure coding best practices and compliance standards (NIST, FedRAMP, etc.).
  • Knowledge of Cloud Platforms (AWS, Azure).
  • Experience with modern software development practices.
  • Experience with navigating organizational security processes.
  • Experience developing and delivering contract deliverables.

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