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Data Processing Jobs in Missouri (NOW HIRING)

Pwc

Data Engineer - Manager

Saint Louis, MO

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Pwc

Data Engineer - Manager

Kansas City, MO

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

IQUASAR LLC

Data Engineer

Saint Louis, MO · On-site

$111K - $133K/yr

Design and implement ETL processes to migrate data between source and target systems * Develop scripts and workflows for data extraction, transformation, and loading * Develop and maintain data ...

iQuasar LLC

Data Engineer

Saint Louis, MO · On-site

$111K - $133K/yr

Design and implement ETL processes to migrate data between source and target systems * Develop scripts and workflows for data extraction, transformation, and loading * Develop and maintain data ...

Pwc

Data Engineer - Senior Associate

Kansas City, MO · On-site

$77K - $202K/yr

Responsibilities - Designing and implementing data infrastructure and systems to facilitate efficient data processing and analysis - Developing and maintaining data pipelines, integration, and ...

Concord USA

Data Scientist

Kansas City, MO · On-site

Support forecasting and planning processes with timely, accurate data. * Identify gaps or inconsistencies in existing measurement approaches and propose improvements. Experience and Skills * Minimum ...

Concord

Data Scientist

Kansas City, MO · On-site

$60 - $75/hr

Support forecasting and planning processes with timely, accurate data. * Identify gaps or inconsistencies in existing measurement approaches and propose improvements. Experience and Skills * Minimum ...

JARBO

Environmental Data Technician

Bridgeton, MO · On-site

$24 - $32/hr

Follow established processes for routine data processing, quality control, audits, and preparation of client deliverables. * Identify questionable or inconsistent data and recommend practical ...

JARBO

Environmental Data Technician

Bridgeton, MO

Follow established processes for routine data processing, quality control, audits, and preparation of client deliverables. * Identify questionable or inconsistent data and recommend practical ...

JARBO

Environmental Data Technician

Bridgeton, MO

$24 - $32/hr

Follow established processes for routine data processing, quality control, audits, and preparation of client deliverables. * Identify questionable or inconsistent data and recommend practical ...

Eliassen Group

Research Data Architect

Saint Louis, MO · On-site

$100 - $125/hr

Implement scalable data processing frameworks for growing datasets. * Improve indexing and metadata strategies to enhance search and discovery. * Enable advanced analytical capabilities for ...

Eliassen Group

Research Data Architect

Saint Louis, MO · On-site

$100 - $125/hr

Implement scalable data processing frameworks for growing datasets. * Improve indexing and metadata strategies to enhance search and discovery. * Enable advanced analytical capabilities for ...

Capstone IT

Principal Data Engineer

Springfield, MO · On-site

The client is utilizing a contract engagement model to support an accelerated onboarding timeline and faster hiring process. Capstone IT is seeking a Principal Data Engineer to lead enterprise-scale ...

Nestle

Data Scientist

Saint Louis, MO · On-site

$88K - $123K/yr

Experience working with Databricks, Snowflake, or distributed data processing environments is preferred * Experience building GenAI-enabled applications such as RAG, copilots, or intelligent ...

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All JobsData Processing JobsData Processing Jobs in Missouri

Data Processing information

See Missouri salary details

$11

$19

$32

How much do data processing jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for data processing 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 are the key skills and qualifications needed to thrive in data processing, and why are they important?

To thrive in Data Processing, you need strong analytical abilities, attention to detail, and proficiency with spreadsheets and database management, often supported by an associate's degree or relevant experience. Familiarity with tools like Microsoft Excel, SQL, or data entry software, as well as certifications such as Certified Data Processor (CDP), are frequently expected. Strong organizational skills, time management, and the ability to troubleshoot problems efficiently are valued soft skills. These competencies are crucial for ensuring data accuracy, meeting deadlines, and supporting smooth information operations within an organization.

What is a data processing job role?

A data processing job involves collecting, organizing, and converting raw data into a usable format for analysis or reporting. It often requires skills in data management tools, attention to detail, and knowledge of data formats and software such as Excel, SQL, or specialized processing programs.

What are the typical daily responsibilities of someone working in data processing?

A typical day for a Data Processing professional involves entering, validating, and updating records in databases or spreadsheets to ensure data integrity. You may also be responsible for generating reports, cleaning large data sets, and identifying discrepancies or errors for correction. Collaboration with team members or departments is common to clarify data requirements and resolve issues. Staying organized and attentive to detail is essential because the quality of processed data can impact decision-making across the organization.

What is data processing?

A Data Processing job involves collecting, organizing, and managing data to ensure accuracy and accessibility. Professionals in this role use software tools to input, clean, analyze, and process data for businesses or organizations. They may also generate reports and automate workflows to streamline data handling. Strong attention to detail and proficiency in data management tools are essential for success in this field.

What do you do as a data processing?

A data processing professional manages the collection, organization, and transformation of raw data into usable formats. This involves tasks such as data entry, cleaning, validation, and using tools like spreadsheets or specialized software to ensure data accuracy and readiness for analysis or reporting.

How do I get into data processing?

To enter data processing, develop skills in data management, programming languages like Python or SQL, and familiarity with data tools such as Excel or database systems. A relevant degree in computer science, information technology, or related fields can be helpful, and gaining experience through internships or entry-level positions can improve job prospects.
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 are popular job titles related to Data Processing jobs in Missouri? For Data Processing jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Data Processing jobs in Missouri look for? The top searched job categories for Data Processing jobs in Missouri are:
What cities in Missouri are hiring for Data Processing jobs? Cities in Missouri with the most Data Processing job openings:
Data Processing jobs near you
Infographic showing various Data Processing 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.

Bigdata Developer/Lead - Saint Louis, MO (Day1 Onsite) - Full Time

Centraprise

Saint Louis, MO • On-site

$51.50 - $66.75/hr

Full-time

Re-posted 19 days ago

Job description

Company Description

Centraprise is providing traditional staffing services, professional and technical staffing and management services to some of the country's leading companies with highest quality of service.
 

Due to our expertise across multi-platform technologies and skill-sets, Centraprise provides services to a wide spectrum of customers across verticals such as Banking, Financial Services, Healthcare, Human Resources, Telecom, Insurance, Hospitality, Retail & Distribution and Manufacturing. Serving multinational customers, Centraprise Inc has gained vast experience and competence to deliver quality services at competitive prices.

Job Description

Summary:

This role involves developing and optimizing big data solutions ensuring high performance and scalability. The candidate will contribute to innovative projects that drive the company's mission forward.

Experience: 10 Years

Technical Skills:  Scala, Apache Spark, Apache Hadoop, Hive, AWS and SQL

Qualifications:

  • Possess strong experience in Apache Spark Apache Hadoop and Hive for big data processing.
  • Demonstrate proficiency in Scala programming language for developing data processing workflows.
  • Have hands-on experience with AWS services for cloud-based data solutions.
  • Exhibit excellent problem-solving skills and the ability to troubleshoot complex technical issues.
  • Show strong collaboration and communication skills to work effectively with cross-functional teams.
  • Display a deep understanding of data security and compliance requirements.
  • Have a track record of delivering high-quality  scalable  and reliable big data solutions

Roles & Responsibilities:

  • Develop and optimize big data solutions using Apache Spark, Apache Hadoop  and Hive to ensure high performance.
  • Implement data processing workflows and pipelines using Scala and AWS to handle large volumes of data efficiently.
  • Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
  • Provide technical expertise and guidance on best practices for big data technologies and cloud-based solutions.
  • Conduct code reviews and ensure adherence to coding standards and best practices.
  • Troubleshoot and resolve complex technical issues related to big data processing and cloud infrastructure.
  • Develop and maintain documentation for data processing workflows  technical designs  and operational procedures.
  • Stay updated with the latest trends and advancements in big data technologies and cloud computing.
  • Participate in the design and architecture of scalable and reliable big data solutions.
  • Ensure data security and compliance with relevant regulations and standards.
  • Provide mentorship and support to junior developers and team members.
  • Contribute to the continuous improvement of development processes and methodologies.

 

Qualifications

Senior Bigdata Developer/Lead - Saint Louis, MO (Day1 Onsite) - Full Time

Additional Information

All your information will be kept confidential according to EEO guidelines.

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