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Master Data Jobs in Missouri (NOW HIRING)

Data Analyst

Creve Coeur, MO · On-site

$7/hr

Understanding of master data management, relational databases, columnar databases, ETL and data warehousing. * Experience with SQL and proficient with either PySpark or BigQuery for handling large ...

Data Analyst

Creve Coeur, MO · On-site

$71 - $135/hr

Understanding of master data management, relational databases, columnar databases, ETL and data warehousing. * Experience with SQL and proficient with either PySpark or BigQuery for handling large ...

Sales Engineer

California, MO · On-site

$130 - $170/hr

Master data modeling and schema alignment * Golden record configuration and identity resolution * Data normalization and transformation workflows * Multi‑system integration across CRM, marketing ...

Data Platform Architect

Florissant, MO · On-site

$58.75 - $75.75/hr

Ability to establish a unified business glossary, taxonomy, and master data model across all domains * Ability to evaluate and implement data platform toolchains, including data catalog, lineage ...

Data Engineer

Saint Louis, MO · On-site

$110K - $133K/yr

Understanding of data governance, lineage, and master data management frameworks * Exposure to DevOps principles, CI/CD pipelines, and version control * Familiarity with Agile or Scrum methodologies

Data Engineer II

Maryland Heights, MO · Hybrid

$110K - $132K/yr

Microsoft Master Data Services, Alation Demonstrated qualities and skills: * Working knowledge of database architecture and ANSI SQL * Understanding of cloud technologies and implementations of such ...

Data Engineer II

Maryland Heights, MO · Hybrid

$110K - $132K/yr

Microsoft Master Data Services, Alation Demonstrated qualities and skills: * Working knowledge of database architecture and ANSI SQL * Understanding of cloud technologies and implementations of such ...

Accounts Payable Specialist

Saint Louis, MO · On-site

$20.75 - $26.50/hr

This individual will play a critical role in maintaining vendor master data by processing new vendor registrations and vendor change requests while ensuring compliance with company policies and SOX ...

Data Engineer

Kansas City, MO

$111K - $134K/yr

Experience with data management, including data governance, data security, master data management, and familiarity with different industry security requirements * Broad experience with data/reporting ...

Data Engineer

Kansas City, MO · On-site

$111K - $134K/yr

Experience building data agents, including NLQ, Databricks Genie, and Fabric Data Agents Experience with data management, including data governance, data security, master data management, and ...

Showing results 41-60

Master Data information

See Missouri salary details

$18

$41

$71

How much do master data jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for master data in Missouri is $41.60, according to ZipRecruiter salary data. Most workers in this role earn between $28.65 and $51.88 per hour, depending on experience, location, and employer.

What is a master data professional?

Master Data professionals are specialists who manage, maintain, and ensure the accuracy of an organization's core data assets, such as customer, product, supplier, and employee information. They play a vital role in establishing data standards, improving data quality, and supporting business processes by keeping key data consistent and reliable across systems. Their work helps organizations make better decisions, comply with regulations, and operate efficiently.

What are some common challenges faced by professionals in master data roles, and how can they be effectively managed?

One common challenge in Master Data roles is ensuring data consistency and accuracy across multiple systems and departments. Data discrepancies can arise due to varying data entry standards or system integrations, making it essential to implement robust data governance processes. Collaboration with IT, business analysts, and end users is often required to establish clear data ownership, standardization practices, and validation routines. Regular audits and continuous communication across teams help maintain high data quality and prevent errors from propagating throughout the organization.

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

To thrive as a Master Data Specialist, you need strong analytical skills, attention to detail, and a background in data management or information systems, often supported by a relevant degree. Familiarity with ERP systems like SAP or Oracle, data governance frameworks, and certifications such as CDMP are typically valued. Excellent communication, problem-solving, and organizational skills help you collaborate effectively and resolve data issues. These skills ensure accurate, consistent, and reliable data, which is critical for organizational decision-making and operational efficiency.

What is the difference between Master Data vs Data Analyst?

AspectMaster DataData Analyst
Required CredentialsBachelor's degree in Business, IT, or related fields; certifications like CDMP are commonBachelor's degree in Statistics, Mathematics, or related fields; certifications like CAP or Microsoft Data Analyst are common
Work EnvironmentData management teams, IT departments, enterprise systemsBusiness units, analytics teams, reporting environments
Employer & Industry UsageUsed across industries for maintaining consistent core dataUsed across industries for insights, reporting, and decision-making

Master Data professionals focus on maintaining and managing the core data that supports business operations, ensuring data accuracy and consistency. Data Analysts interpret and analyze data to generate insights and support decision-making. While both roles work with data, Master Data roles are more data governance-oriented, whereas Data Analysts focus on data analysis and reporting.

Is master data a good career?

Master Data roles involve managing and maintaining core business information such as customer, product, and supplier data. These positions require attention to detail, data management skills, and familiarity with tools like ERP systems, making them stable and in-demand within data management and enterprise operations. Career growth can lead to roles in data governance, analytics, or data management leadership.

What are the most commonly searched types of Master Data jobs in Missouri?

The most popular types of Master Data jobs in Missouri are:

Infographic showing various Master Data job openings in Missouri as of August 2026, with employment types broken down into 43% Full Time, and 57% Contract. Highlights an 46% In-person, and 54% Hybrid job distribution, with an average salary of $86,528 per year, or $41.6 per hour.

$110K - $133K/yr

Full-time

Re-posted 21 days ago


Key responsibilities

  • Design, build, and maintain scalable data pipelines and integrations across multiple enterprise systems.

  • Develop and maintain data models, ETL/ELT workflows, and orchestration logic within cloud data environments.

  • Implement data quality validation, monitoring, and governance processes.


Job description

The Data Engineer helps design, build, and maintain pipelines and platforms that power our data-driven decisions across the enterprise. This role will work across cloud platforms, digital systems, and analytics tools to ensure our data is reliable, scalable, and ready for everything from business reporting to advanced AI applications.

At Build-A-Bear, our data fuels creativity, efficiency, and innovation, connecting millions of guests to memorable experiences. The Data Engineer will help build the foundation that powers these experiences.

Responsibilities:

  • Design, build, and maintain scalable data pipelines and integrations across multiple enterprise systems.
  • Develop and maintain data models, ETL/ELT workflows, and orchestration logic within cloud data environments.
  • Collaborate to define data requirements and ensure alignment between business needs and technical solutions.
  • Implement data quality validation, monitoring, and governance processes.
  • Optimize performance and efficiency of existing data processes, enabling faster insights and reduced latency.
  • Partner with IT Security and Privacy teams to enforce data access controls and compliance standards.
  • Support development of reusable frameworks for data ingestion, transformation, and storage.
  • Document technical designs, data dictionaries, and workflows for transparency and maintainability.
  • Stay current on data engineering best practices, tools, and emerging trends in analytics, AI, and automation.

Required Qualifications:

  • 5+ years of experience in data engineering, data warehousing, or analytics platform development
  • Bachelor’s degree in computer science, information systems, data engineering, or related field
  • Skilled in SQL and familiarity with Python, Spark, or other scripting languages for data manipulation
  • Expert with cloud-based data ecosystems, ideally Microsoft Azure (Data Factory, Synapse, Databricks, or Data Lake)
  • Skilled understanding of ETL/ELT design patterns, data modeling, and schema optimization
  • Proficient knowledge of API integrations and real-time data streaming
  • Basic knowledge of BI tools such as Power PI, Tableau, or Looker
  • Excellent communication and critical thinking skills, with the ability to translate technical concepts for business partners

Preferred Qualifications:

  • Experience with Microsoft Dynamics 365, Salesforce, or similar enterprise data sources
  • Understanding of data governance, lineage, and master data management frameworks
  • Exposure to DevOps principles, CI/CD pipelines, and version control
  • Familiarity with Agile or Scrum methodologies
  • Microsoft Certified: Azure Data Engineer Associate or similar certification

Behavioral Traits for Success:

  • Enjoys being recognized for the quality of their work
  • Willingness to work within established standards, guidelines, and procedures
  • Develops strong job knowledge and competency
  • Strong commitment to tasks being completed correctly and on time
  • Thrives in a structured environment
  • Happy accomplishing work as an individual
  • Can work harmoniously with others
  • Communication is factual, polite, and professional

Working Environment:

  • Typical office environment with climate control and sufficient lighting, ergonomic desk/chairs
  • Hybrid work schedule

Your Performance Will Be Measured On:

Your performance will be measured by your ability to achieve annual department objectives and corporate goals which include but are not limited to the following.

  • Decision-making, judgment, and execution
  • System reliability
  • Data throughput and performance metrics
  • Reduction of data defects
  • Accuracy and efficiency
  • Compliance adherence
  • Data integrity
  • Audit readiness
  • Stakeholder Feedback