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Data Processing Assistant Jobs in Missouri (NOW HIRING)

Koantek

Data Engineer - Multiple Positions

Chesterfield, MO · On-site

$113K - $136K/yr

... tools for data processing and analysis. You will play a pivotal role in managing data ... Support Project Management: Assist the Professional Services leader and project managers with ...

Protein Solutions

Data Entry/Processing

Joplin, MO · On-site

$19 - $22/hr

Large amount of data entry/processing * Answer phones and direct calls as needed and greet visitors ... Serve as a backup for plant Administrative Assistant. * Other duties as assigned. Education ...

JARBO

Environmental Data Technician

Bridgeton, MO

Follow established processes for routine data processing, quality control, audits, and preparation ... Learn and use specialized software packages for hydraulic and environmental data analysis. * Assist ...

JARBO

Environmental Data Technician

Bridgeton, MO

$24 - $32/hr

Follow established processes for routine data processing, quality control, audits, and preparation ... Learn and use specialized software packages for hydraulic and environmental data analysis. * Assist ...

Nestle

Data Scientist

Saint Louis, MO · On-site

$88K - $123K/yr

... and intelligent assistants * Contribute to AIOps/MLOps practices including model versioning ... Experience working with Databricks, Snowflake, or distributed data processing environments is ...

JARBO

Environmental Data Technician

Bridgeton, MO

$24 - $32/hr

Follow established processes for routine data processing, quality control, audits, and preparation ... Learn and use specialized software packages for hydraulic and environmental data analysis. * Assist ...

Nestlé S.A.

Data Scientist

Saint Louis, MO · On-site

$88 - $123/hr

... and intelligent assistants * Contribute to AIOps/MLOpspractices including model versioning ... Experience working with Databricks, Snowflake, or distributed data processing environments is ...

Eliassen Group

Research Data Architect

Saint Louis, MO · On-site

$100 - $125/hr

The role will define scalable data platforms, data models, and governance to support growth ... process. These tools assist our hiring teams in different ways, including but not limited to ...

Eliassen Group

Research Data Architect

Saint Louis, MO · On-site

$100 - $125/hr

The role will define scalable data platforms, data models, and governance to support growth ... process. These tools assist our hiring teams in different ways, including but not limited to ...

Jobgether

$88K - $106K/yr

These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed ...

Jobtailor

Senior Actuary - Data Steward

California, MO · On-site

$90 - $130/hr

... teams. * Assist with reporting enhancements, ad hoc studies, and enterprise analytics initiatives. Documentation & Training * Develop clear and comprehensive documentation for data processes ...

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All JobsData Processing JobsData Processing Assistant JobsData Processing Assistant Jobs in Missouri

Data Processing Assistant information

See Missouri salary details

$11

$19

$32

How much do data processing assistant jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for data processing assistant in Missouri is $19.01, according to ZipRecruiter salary data. Most workers in this role earn between $15.10 and $20.96 per hour, depending on experience, location, and employer.

What is the salary of data processing assistant grade a grade?

The salary of a Data Processing Assistant Grade A typically ranges from $30,000 to $45,000 annually, depending on the country, experience, and government or organizational pay scales. Entry-level positions may start at the lower end, with potential for increases based on performance and tenure.

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

To thrive as a Data Processing Assistant, you need strong data entry skills, attention to detail, and a high school diploma or equivalent. Familiarity with spreadsheet software like Microsoft Excel, database management systems, and sometimes basic knowledge of data processing software is typically required. Excellent organizational abilities, time management, and the capacity to maintain confidentiality set top performers apart. These skills ensure accurate, efficient handling of sensitive information, directly supporting effective business operations.

What are some common challenges faced by data processing assistants, and how can they be addressed?

Data Processing Assistants often encounter challenges such as managing large volumes of data with tight deadlines and ensuring the accuracy of information being entered or processed. To address these issues, it's important to develop strong organizational habits, regularly double-check work for errors, and leverage available software tools to automate repetitive tasks. Collaborating closely with data analysts, supervisors, and IT team members can also help resolve discrepancies quickly and maintain data integrity.

What is the difference between Data Processing Assistant vs Data Entry Clerk?

AspectData Processing AssistantData Entry Clerk
Required CredentialsHigh school diploma; some roles may prefer certifications in data managementHigh school diploma; basic computer skills
Work EnvironmentOffice settings, data centers, or remoteOffice environments, primarily in administrative settings
Employer & Industry UsageBusinesses, government agencies, healthcare, financeAdministrative offices, retail, healthcare, government
Common Search & ComparisonOften compared for data handling tasks, technical skillsCompared for basic data input, administrative support

The main difference is that Data Processing Assistants handle more complex data management tasks, often involving data validation and processing, while Data Entry Clerks focus primarily on inputting data accurately. Both roles are essential in data-related workflows but differ in scope and technical requirements.

What are the most commonly searched types of Data Processing jobs in Missouri? The most popular types of Data Processing jobs in Missouri are:
What cities in Missouri are hiring for Data Processing Assistant jobs? Cities in Missouri with the most Data Processing Assistant job openings:
Data Processing Assistant jobs near you
Infographic showing various Data Processing Assistant job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $39,540 per year, or $19 per hour.

Data Engineer - Multiple Positions

Koantek

Chesterfield, MO • On-site

$113K - $136K/yr

Contractor

Re-posted 16 days ago

Job description


Location: United States - Remote
Employment Type: Full-Time and Contract
Data Engineer
Description:
As a Data Engineer at Koantek, you will leverage advanced data engineering techniques and analytics to support business decisions for our clients. Your role will involve designing and building robust data pipelines, integrating structured and unstructured data from various sources, and developing tools for data processing and analysis. You will play a pivotal role in managing data infrastructure, optimizing data workflows, and guiding data-driven strategies while working closely with data scientists and other stakeholders.
The impact you will have:
  • Guide Big Data Transformations: Implementation of comprehensive big data projects, including the development and deployment of innovative big data and AI applications.
  • Ensure Best Practices: Guarantee that Databricks best practices are applied throughout all projects to maintain high-quality service and successful implementation.
  • Support Project Management: Assist the Professional Services leader and project managers with estimating efforts and managing risks within customer proposals and statements of work.
  • Architect Complex Solutions: Design, develop, deploy, and document complex customer engagements, either independently or as part of a technical team, serving as the technical lead and authority.
  • Enable Knowledge Transfer: Facilitate the transfer of knowledge and provide training to team members, customers, and partners, including the creation of reusable project documentation.
  • Contribute to Consulting Excellence: Share expertise with the consulting team and offer best practices for client engagement, enhancing the effectiveness and efficiency of other teams.

Requirements
Minimum qualifications:
  • Educational Background: Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience).
  • Experience:
    • 3+ years of experience as a Data Engineer, with proficiency in at least two major cloud platforms (AWS, Azure, GCP).
    • Proven experience in designing, developing, and implementing comprehensive data engineering solutions using Databricks, specifically for large-scale data processing and integration projects
    • Develop scalable streaming and batch solutions using cloud-native components.
    • Perform data transformation tasks, including cleansing, aggregation, enrichment, and normalisation, utilising Databricks and related technologies.
    • Experience in applying DataOps principles and implementing CI/CD and DevOps practices within data environments to optimize development and deployment workflows.
  • Technical Skills:
    • Expert-level proficiency in Spark Scala, Python, and PySpark.
    • In-depth knowledge of data architecture, including Spark Streaming, Spark Core, Spark SQL, and data modeling.
    • Hands-on experience with various data management technologies and tools, such as Kafka, StreamSets, and MapReduce.
    • Proficient in using advanced analytics and machine learning frameworks, including Apache Spark MLlib, TensorFlow, and PyTorch, to drive data insights and solutions.
  • Databricks Specific Skills:
    • Extensive experience in data migration from on-premises to cloud environments and in implementing data solutions on Databricks across cloud platforms (AWS, Azure, GCP).
    • Skilled in designing and executing end-to-end data engineering solutions using Databricks, focusing on large-scale data processing and integration.
    • Proven hands-on experience with Databricks administration and operations, including notebooks, clusters, jobs, and data pipelines.
    • Experience integrating Databricks with other data tools and platforms to enhance overall data management and analytics capabilities.
  • Good to have Certifications:
    • Certification in Databricks Engineering (Professional)
    • Microsoft Certified: Azure Data Engineer Associate
    • GCP Certified: Professional Google Cloud Certified.
    • AWS Certified Solutions Architect Professional

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