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Data Modeling Jobs in Missouri (NOW HIRING)

Capstone IT

Principal Data Engineer

Springfield, MO

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 ...

RADaR

Data Visualization Analyst

Columbia, MO · Hybrid

Data Analysis & Modeling: Clean, organize, and analyze datasets from disparate sources to identify critical trends and patterns. Use SQL to extract and manipulate data for efficient reporting.

RADaR

Data Visualization Analyst

Saint Louis, MO · Hybrid

Data Analysis & Modeling: Clean, organize, and analyze datasets from disparate sources to identify critical trends and patterns. Use SQL to extract and manipulate data for efficient reporting.

RADaR

Data Visualization Analyst

Kansas City, MO · Hybrid

Data Analysis & Modeling: Clean, organize, and analyze datasets from disparate sources to identify critical trends and patterns. Use SQL to extract and manipulate data for efficient reporting.

Milliman

Data Engineer (MedInsight)

Saint Louis, MO · On-site +1

$93K - $177K/yr

Design Data Models: Develop and maintain data marts, semantic models, and curated datasets that support analytics products, reporting, and business intelligence initiatives. * Ensure Data Quality ...

Milliman

Data Engineer (MedInsight)

Saint Louis, MO · On-site +1

$93K - $177K/yr

Design Data Models: Develop and maintain data marts, semantic models, and curated datasets that support analytics products, reporting, and business intelligence initiatives. * Ensure Data Quality ...

Walmart

(USA) Principal, Data Engineer

Cassville, MO

$110K - $220K/yr

Utilizing advanced data integration, modeling, and engineering methods, the team ensures high-quality, scalable data infrastructure and pipelines. This collaborative environment emphasizes innovation ...

Walmart

(USA) Principal, Data Engineer

Noel, MO

$110K - $220K/yr

Utilizing advanced data integration, modeling, and engineering methods, the team ensures high-quality, scalable data infrastructure and pipelines. This collaborative environment emphasizes innovation ...

Walmart

(USA) Principal, Data Engineer

Anderson, MO

$110K - $220K/yr

Utilizing advanced data integration, modeling, and engineering methods, the team ensures high-quality, scalable data infrastructure and pipelines. This collaborative environment emphasizes innovation ...

Shelter Insurance

Enterprise Data Analyst

Columbia, MO · On-site

$69K - $86K/yr

Experience in data modeling, data validation, and data governance principles. * Familiarity with insurance industry practices and metrics, such as underwriting, claims, and risk management, is ...

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Data Modeling information

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How much do data modeling jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for data modeling in Missouri is $55.07, according to ZipRecruiter salary data. Most workers in this role earn between $49.38 and $64.04 per hour, depending on experience, location, and employer.

Will AI replace data modelers?

AI tools can automate certain aspects of data modeling, such as generating schemas or identifying patterns, but data modelers are essential for designing complex data structures, understanding business needs, and ensuring data quality. Human expertise remains critical for interpreting requirements and making strategic decisions, making the role of a data modeler unlikely to be fully replaced by AI in the near future.

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

To thrive in Data Modeling, you need strong analytical skills, proficiency in database design, and a solid understanding of data structures, usually supported by a degree in computer science, information systems, or a related field. Expertise with tools such as ERwin, SQL, PowerDesigner, or similar data modeling software, as well as knowledge of normalization techniques and experience with data warehousing concepts, are highly valued. Effective communication, attention to detail, and problem-solving abilities set outstanding data modelers apart, allowing them to convey complex concepts to both technical and non-technical stakeholders. These skills are vital for building accurate, scalable data models that serve as the foundation for reliable data-driven decision-making within organizations.

What is a Data Modeling job?

A Data Modeling job involves designing and structuring data to ensure it is organized, efficient, and scalable for business needs. Data modelers create conceptual, logical, and physical data models that define relationships between data elements. They work closely with database administrators, data engineers, and analysts to optimize data storage and retrieval. Their role is crucial for maintaining data integrity and supporting business intelligence and analytics initiatives. Skills in SQL, database design, and data normalization are essential for success in this role.

How much do data modelers make?

Data modelers typically earn a median annual salary between $80,000 and $120,000, depending on experience, location, and industry. Senior data modelers with advanced skills in database design and data warehousing can earn higher salaries, often exceeding $130,000. Certifications in data management and proficiency with tools like SQL and ER modeling can also influence compensation.

What does a typical day look like for someone working in Data Modeling?

A typical day in Data Modeling often involves collaborating with business analysts, database administrators, and software developers to understand data requirements and translate them into logical and physical data structures. Data modelers spend time designing, reviewing, and optimizing data models, ensuring accuracy and consistency across systems and projects. They also review data flows, document data dictionaries, and participate in meetings to align data architecture with overall business needs. The role frequently requires balancing independent technical work with teamwork, as well as responding to feedback and evolving project requirements to support organizational goals.

What does a data modeler do?

A data modeler designs and creates data models to organize and structure data for databases and information systems. They analyze data requirements, develop schemas, and use tools like ER diagrams to ensure data consistency and efficiency. Strong knowledge of data management, modeling techniques, and database systems is essential for this role.

Is 40 too late for data science?

Data modeling is a key skill in data science, and individuals can enter the field at any age with relevant skills, experience, and continuous learning. Many professionals successfully transition into data science later in their careers by acquiring programming, statistical, and analytical tools, making age less of a barrier than skill development and practical experience.
What are popular job titles related to Data Modeling jobs in Missouri? For Data Modeling jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Data Modeling jobs in Missouri look for? The top searched job categories for Data Modeling jobs in Missouri are:
What cities in Missouri are hiring for Data Modeling jobs? Cities in Missouri with the most Data Modeling job openings:
Data Modeling jobs near you
Infographic showing various Data Modeling job openings in Missouri as of June 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, and 25% Hybrid job distribution, with an average salary of $114,552 per year, or $55.1 per hour.
Data Architect

Data Architect

Federal Reserve Bank of Richmond

Kansas City, MO

$62.25 - $80/hr

Full-time

Medical, Life, Retirement, PTO

Posted 26 days ago

Job description

CompanyFederal Reserve Bank of St. LouisThe St Louis Fed is one of 12 Reserve Banks serving all or parts of Missouri, Illinois, Indiana, Kentucky, Tennessee, Mississippi, and Arkansas with branches in Little Rock, Louisville and Memphis. The St. Louis Fed's most critical functions include promoting stable prices and economic growth, fostering a sound financial system, providing payment services to financial institutions, supporting the U.S. Treasury's financial operations, and advancing economic education, community development and fair access to credit. The Bank strives to maintain an engaging and exciting work environment that is both inviting and collegial.

The Data Architect will lead the design and modernization of the data architecture that powers the economic data platforms of St. Louis based Research applications such as FRED. These platforms manage massive collections of economic time-series data, historical revisions, digitized archival documents, and research publications.

This role focuses on designing scalable data platforms, data models, and data governance frameworks to support long-term growth, advanced analytics, and global access to economic data. It will leverage in-depth knowledge of modern data technologies, industry frameworks, data security best practices and emerging innovations in AI/ML and data science to accelerate value, delivery and outcomes for the business.

The Data Architect will partner closely with the Application/Enterprise Architect to ensure seamless integration between data platforms and application services.

Responsibilities

  • Define and evolve the target data architecture supporting economic data systems.
  • Design scalable storage architectures capable of supporting billions of time-series observations and historical revisions.
  • Develop metadata schemas supporting dataset discoverability, lineage, and governance.
  • Standardize dataset structures and metadata across multiple platforms.
  • Implement scalable data processing frameworks capable of supporting growing dataset volumes.
  • Improve indexing and metadata strategies that support dataset search and discovery.
  • Enable advanced analytical capabilities for researchers and developers.
  • Partner with the Application Architect to optimize data access patterns for APIs and applications.

Qualifications

  • 7+ years of experience in data architecture, data engineering or database design and large-scale enterprise cloud data implementations in complex, highly regulated environments. Deep understanding of modern data technology stacks, cloud data platforms (AWS preferred), and enterprise software solutions.
  • Demonstrated experience designing, architecting and supporting external / public-facing applications with a strong emphasis on scalability, security, availability and performance for external customer-facing platforms. Demonstrated knowledge of and leading adoption of industry best practices in the areas of DataOps and modern data stack tools, data governance, SQL and other query tools and knowledge of data privacy regulations. Industry-related certifications in one or more of the above areas are desired.
  • Demonstrated experience in cloud data architecture skills including designing, architecting and delivering modern cloud data platforms to ingest, process, store and expose data across the enterprise. Expert knowledge of data modeling techniques and tools, data lifecycle management and integration patterns to ensure that data flows are consistent, reliable and reusable across services and solutions. Experience with data storage technologies, partitioning strategies, caching, data access patterns, and robust security strategies enforcing privacy and regulatory requirements including designing standardized approaches for data classification, access control, encryption, retention and auditability. Knowledge of data warehousing concepts and tools, big data technologies, machine learning and AI data requirements.
  • Outstanding communication and collaboration skills, including translating technical topics and risks into business teams. Ability to personalize communication to audience from technologists to executive leadership.
  • Extensive, in-depth experience implementing highly complex technology projects in a cross-functional matrix environment with demonstrated ability to drive consensus and deliver results. Examples of leading through influence and successfully resolving conflicting priorities are required.
  • US Citizenship required
  • Lesser experience might be considered for a lesser grade

Preferred Qualifications

  • Experience working with time-series data platforms or analytical datasets.
  • Experience with distributed query engines and large-scale data processing systems.
  • Experience with data catalog and metadata management platforms.
  • Familiarity with economic datasets or research data environments.
  • Experience supporting public data access or research-oriented platforms.

Total Rewards

Bring your passion and expertise, and we'll provide the opportunities that will challenge you and propel your growth-along with a wide range of benefits and perks that support your health, wealth, and life.

Salary: $140-170k

In addition to competitive compensation, we offer a comprehensive benefits package that all brought together in a flexible work environment where you can truly find balance:

  • Generous paid time off
  • Tuition & Training assistance/reimbursement
  • 401(k) match & Annuity/Pension fund
  • Top-notch health care benefits
  • Child and family care leave
  • Professional development opportunities
  • And more...

At the Federal Reserve Bank of St. Louis, we are committed to a strong and resilient economy for all. We prioritize inclusion and strive to be a workplace where all employees can thrive. Learn more about Bank's culture

The Federal Reserve Bank of St Louis is an Equal Opportunity Employer.

Full Time / Part TimeFull timeRegular / TemporaryRegularJob Exempt (Yes / No)YesJob CategoryInformation Technology Family GroupWork ShiftFirst (United States of America)

The Federal Reserve Banks are committed to equal employment opportunity for employees and job applicants in compliance with applicable law and to an environment where employees are valued for their differences.

Always verify and apply to jobs on Federal Reserve System Careers (https://rb.wd5.myworkdayjobs.com/FRS) or through verified Federal Reserve Bank social media channels.

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