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Data Processor Jobs in St Louis, MO (NOW HIRING)

TKC Holdings

Senior Data Analyst Engineer

Saint Louis, MO · On-site

$100K - $160K/yr

Build and optimize ELT/ETL processes using modern data integration tools. * Develop scalable dimensional and semantic data models. * Support enterprise data architecture and modernization initiatives.

TKC Holdings

Senior Data Analyst Engineer

Saint Louis, MO · On-site

$100K - $160K/yr

Build and optimize ELT/ETL processes using modern data integration tools. * Develop scalable ... dimensional and semantic data models. * Support enterprise data architecture and modernization ...

Pwc

Data Engineer - Senior Manager

Saint Louis, MO

$124K - $280K/yr

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 - Senior Associate

Saint Louis, MO

$77K - $202K/yr

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 ...

Deloitte

Project - Data Engineer II

Saint Louis, MO · On-site

$111K - $133K/yr

... processes including implementing leading practice workflows, addressing deficits in quality, and ... Experience with data integration frameworks and orchestration tools. * Working knowledge of ...

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All JobsData Processor JobsData Processor Jobs in St. Louis, MO

Data Processor information

See St Louis, MO salary details

$11

$19

$33

How much do data processor jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for data processor in St. Louis, MO is $19.70, according to ZipRecruiter salary data. Most workers in this role earn between $15.67 and $21.73 per hour, depending on experience, location, and employer.

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

AspectData ProcessorData Entry Clerk
Required CredentialsHigh school diploma; some roles may require basic certificationsHigh school diploma; no specialized certifications typically needed
Work EnvironmentOffice settings, data centers, or remote workOffice environments, often in administrative settings
Employer & Industry UsageBusinesses, government agencies, financial institutionsCorporations, healthcare, retail, administrative offices
Common Search & ComparisonOften compared for data handling and processing tasksCompared for data input and administrative support roles

While both roles involve handling data, Data Processors typically perform more complex data management and validation tasks, often requiring some technical skills. Data Entry Clerks focus on inputting data accurately and efficiently. Understanding these differences helps in choosing the right role based on skills and career goals.

What are some common challenges faced by data processors and how can they be addressed?

Data Processors often encounter challenges such as managing large volumes of data accurately and efficiently, dealing with inconsistent or incomplete data, and ensuring data privacy and compliance. To address these, it's important to develop strong attention to detail, become proficient with data processing software, and stay updated on relevant data protection regulations. Collaborating closely with data analysts and IT teams can also help resolve data issues and improve workflow efficiency.

What is a data processor?

A data processor transfers, organizes, and processes personal data for a company. It is typically an entry-level job that serves as a starting point for a career as a data controller. As a data processor, your duties involve processing incoming documents, transferring analog documents into digital data, verifying the information in all documents, updating document formats, and creating detailed reports on company data use and management. Qualifications for this career include excellent computer skills and a bachelor’s degree in computer science or data management.

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

To thrive as a Data Processor, you need strong attention to detail, accuracy in data entry, and a high school diploma or equivalent. Familiarity with spreadsheet software (such as Microsoft Excel), database management systems, and sometimes data processing software is typically required. Excellent organizational skills, the ability to follow procedures, and effective time management make someone stand out in this role. These skills ensure data integrity, minimize errors, and support efficient information management within an organization.

How much does a data processor earn?

The average salary for a data processor in the United States ranges from $30,000 to $50,000 per year, depending on experience, location, and industry. Entry-level positions may start lower, while experienced data processors with specialized skills or certifications can earn higher wages. Salaries are often complemented by benefits such as health insurance and paid time off.

What do you do as a data processor?

A data processor collects, organizes, and manages data to ensure accuracy and accessibility. They often use software tools like spreadsheets or databases and may perform tasks such as data entry, validation, and updating to support business operations.
More about Data Processor jobs
What are popular job titles related to Data Processor jobs in St. Louis, MO? For Data Processor jobs in St. Louis, MO, the most frequently searched job titles are:
What job categories do people searching Data Processor jobs in St. Louis, MO look for? The top searched job categories for Data Processor jobs in St. Louis, MO are:
What cities near St. Louis, MO are hiring for Data Processor jobs? Cities near St. Louis, MO with the most Data Processor job openings:
Data Processor jobs near you
Infographic showing various Data Processor job openings in St. Louis, MO as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $40,982 per year, or $19.7 per hour.

Senior Data Analyst Engineer

TKC Holdings

Saint Louis, MO

$100K - $160K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago

TKC Holdings rating

5.6

Company rating: 5.6 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

50th of 68 rated caterers

Job description

Wage Rate$100,000-160,000/yearOverviewTKC Holdings, Inc.-comprised of Trinity Services Group, Keefe Group, and Courtesy Products - is a mid market respected leader in the corrections and hospitality industries for more than 40 years. With thousands of team members across the country, we continue a tradition of innovation, integrity, and success. TKC is committed to delivering excellent products and services, exceeding customer expectations, and empowering the career development of every team member.  

We are proud to be a military and veteran-friendly employer.

About This Position

TKC Holdings is seeking a highly skilled Senior Data & Analytics Engineer to support and advance its enterprise reporting, analytics, and cloud data platform initiatives. This role will be responsible for designing, developing, testing, documenting, and supporting Snowflake-based data solutions and Power BI reporting assets while partnering closely with business stakeholders to understand operational and analytical requirements.

The successful candidate will possess a unique combination of business analysis, solution architecture, data engineering, and business intelligence development skills. This individual will work directly with business users to understand processes, gather requirements, analyze business problems, and translate those needs into scalable and maintainable technical solutions.

This position is expected to evolve into a key technical resource within the Data & Analytics organization, developing deep business and platform knowledge while serving as a succession and backup resource for critical data platform responsibilities.

Key Responsibilities

Business Partnership & Analysis

  • Partner directly with business stakeholders to understand operational processes and reporting needs.
  • Facilitate requirements gathering sessions and translate business needs into scalable technical solutions.
  • Analyze business rules, KPIs, data definitions, and operational workflows.
  • Support user testing, validation, and adoption of analytical solutions.

Data Engineering & Architecture

  • Design, develop, and maintain Snowflake data warehouse solutions.
  • Build and optimize ELT/ETL processes using modern data integration tools.
  • Develop scalable dimensional and semantic data models.
  • Support enterprise data architecture and modernization initiatives.
  • Optimize database performance and data processing workloads.

Business Intelligence Development

  • Develop and support Power BI semantic models, dashboards, reports, and dataflows.
  • Enable self-service analytics capabilities across the organization.
  • Ensure reporting accuracy, usability, performance, and maintainability.

Platform Ownership & Governance

  • Participate in architecture reviews, code reviews, and technical standards development.
  • Implement data quality, governance, security, and documentation best practices.
  • Support long-term data platform growth and modernization strategies
What You'll Need

Required Qualifications

  • Bachelor's degree in Computer Science, Information Systems, Data Analytics, Business Analytics, or related field , or equivalent combination of education and experience.
  • 7+ years of experience in business intelligence, analytics, data engineering, or data warehousing.
  • 3+ years of hands-on Snowflake development experience.
  • 3+ years of Power BI development experience.
  • Advanced SQL skills.
  • Experience designing dimensional data models and scalable reporting solutions.
  • Experience developing and supporting ETL/ELT solutions.
  • Proven ability to gather requirements and work directly with business stakeholders.
  • Strong analytical, communication, and problem-solving skills.
  • Demonstrated ability to operate independently and manage complex projects.

Preferred Qualifications

  • Microsoft Fabric experience.
  • Azure Data Factory experience.
  • Databricks experience.
  • Qlik Replicate experience.
  • Oracle and SQL Server experience.
  • Python experience.
  • dbt experience.
  • Azure DevOps and Git experience.
  • Snowflake or Microsoft certifications.

Critical Success Competencies

  • Business Analysis & Requirements Gathering
  • Data Engineering & Architecture
  • Consultative Customer Service
  • Communication & Relationship Building
  • Analytical Thinking
  • Solution Design
  • Ownership & Accountability
  • Continuous Learning
  • Testing & Validation
  • Technical Leadership

Personal Attributes We Value

The ideal candidate demonstrates:

  • A natural curiosity and desire to understand how systems, processes, and businesses operate.
  • A passion for solving problems and finding answers independently.
  • A willingness to challenge assumptions and continuously improve solutions.
  • Strong collaboration skills and a customer-focused mindset.
  • The ability to learn new business domains quickly and effectively.
  • An ownership mentality with a desire to grow into broader platform responsibilities.
  • Provide technical mentoring and guidance to junior developers, analysts, and business users.

Success Measures (First 12 Months)

  • Deliver high-quality Snowflake and Power BI solutions with minimal rework.
  • Build strong working relationships with business stakeholders.
  • Demonstrate the ability to translate business requirements into scalable technical solutions.
  • Improve performance, reliability, and usability of enterprise reporting assets.
  • Contribute significantly to Snowflake migration and data platform modernization initiatives.
  • Develop sufficient platform and business knowledge to serve as a key backup resource for senior members of the Data & Analytics team.
  • Produce maintainable, documented, and supportable solutions that follow team standards.
Benefits

TKC Holdings, Inc. offers comprehensive benefits to all regular-full time employees:

  • Medical w/prescription coverage
    • Benefit Credit received when enrolled in a TKC medical plan, to help offset your benefit costs.  Benefit Credit of $750 annually, will be divided evenly among your paychecks throughout the Plan Year.
  • Dental
  • Vision
  • Basic Life and Basic Accidental Death and Dismemberment Insurance
  • Short Term Disability
  • Long Term Disability
  • Voluntary benefits that can be selected to create the right package for you

TKC also understands the importance of work life balance and planning for the future.  To help with both of these, employees are eligible for paid time off and a Company Match for the 401(k) Retirement Savings Plan.  We now also offer DailyPay providing you immediate access to earned wages.

EEO Statement

Equal Employment Employer as to all protected groups, including protected veterans and individuals with disabilities.

We maintain a drug-free workplace.

A copy of our Privacy Policy and CA Employee Privacy Notice can be found here: https://tkcholdings.com/privacy-policy-108

Employment Type: FULL_TIME

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