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Data Modeling Jobs in Missouri (NOW HIRING)

Keeley Construction

Snowflake Data Architect

Saint Louis, MO · Hybrid

$62 - $79.75/hr

Establish enterprise data modeling standards, architectural patterns, governance frameworks, and golden-source strategies. * Design scalable logical and physical data models for Project Management ...

V-Soft Consulting Group, Inc

Data Engineer III

Saint Louis, MO · On-site

$108K - $130K/yr

Strong understanding of data warehousing concepts and data modeling. * Experience working with structured and unstructured data. * Excellent problem-solving and communication skills. Preferred/Nice ...

MasterCard

Data Engineer II

O Fallon, MO · On-site

$107K - $128K/yr

... data modeling and database design principles to structure data for efficient storage, retrieval, and analysis. - Drive workflow orchestration and process automation initiatives that improve ...

Build-A-Bear Workshop

Data Engineer

Saint Louis, MO · On-site

$110K - $133K/yr

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 ...

eTeam

Senior AWS Data Engineer

Saint Louis, MO · On-site

$103K - $140K/yr

... data models to support business intelligence and analytics. • Collaborate with business stakeholders, analysts, and technical teams to translate requirements into data solutions. • Ensure data ...

Rosnet LLC

AI Data Engineer

Kansas City, MO · On-site

$102K - $123K/yr

Develop and manage data models, schemas, and warehousing structures that support reporting and analytical workloads. * Ensure data quality, integrity, and observability through monitoring, testing ...

Rosnet LLC

AI Data Engineer

Kansas City, MO · On-site

$102K - $123K/yr

Develop and manage data models, schemas, and warehousing structures that support reporting and analytical workloads. * Ensure data quality, integrity, and observability through monitoring, testing ...

Federal Reserve System

Data Architect

Saint Louis, MO · On-site

$140/hr

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 ...

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 ...

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All JobsData Modeling JobsData Modeling Jobs in Missouri

Data Modeling information

See Missouri salary details

$9

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$78

How much do data modeling jobs pay per hour?

As of Aug 9, 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.

What do data modelers do?

Data modelers design and create data structures and schemas to organize and define how data is stored, accessed, and managed within databases. They analyze business requirements, develop data models using tools like ER diagrams, and ensure data consistency and integrity, often working with database management systems and data governance standards.

What are the key skills and qualifications needed to thrive in data modeling, 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?

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 $70,000 and $110,000, depending on experience, location, and industry. Senior data modelers with advanced skills in database design and data warehousing can earn higher salaries, often exceeding $120,000. 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 is a data modeling job?

A data modeling job involves designing and creating data structures, such as databases and schemas, to organize and store information efficiently. Data modelers use tools like ER diagrams and work with programming languages and database management systems to ensure data integrity and accessibility.
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 August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $114,552 per year, or $55.1 per hour.

Snowflake Data Architect

Keeley Construction

Saint Louis, MO • Hybrid

$62 - $79.75/hr

Full-time

Re-posted 8 days ago

Job description

Keeley Companies is looking to hire a Snowflake Data Architect for our IT Team in St. Louis, MO.

Primary Responsibilities
  • Define and execute the target-state Snowflake architecture supporting enterprise reporting, analytics, and decision-making across key business domains.
  • Establish enterprise data modeling standards, architectural patterns, governance frameworks, and golden-source strategies.
  • Design scalable logical and physical data models for Project Management, HR, Finance, Accounting, Legal, and Operations data domains.
  • Develop and maintain a multi-year enterprise data warehouse and data modernization roadmap aligned with business objectives.
  • Design AI-ready data architectures that support both structured and unstructured data for advanced analytics and generative AI use cases.
  • Establish Snowflake governance standards including security, cost management, performance optimization, data sharing, monitoring, and observability.
  • Design and implement Snowflake Cortex capabilities, including AI SQL, LLM functions, document intelligence, vector functions, and Snowpark solutions.
  • Lead the development of scalable data ingestion frameworks integrating enterprise applications such as CMiC, UKG, Salesforce, and other critical systems.
  • Oversee enterprise data quality, testing, validation, reconciliation, and observability standards.
  • Drive Snowflake performance tuning initiatives through query optimization, clustering strategies, workload management, and concurrency scaling.
  • Lead large-scale data warehouse modernization and legacy data migration efforts.
  • Partner with business and technology leaders to translate complex requirements into scalable data platform solutions.
  • Mentor and guide data engineers, analysts, and data scientists in implementing enterprise data architecture and engineering best practices.
Minimum Qualifications
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field required.
  • 8+ years of enterprise data architecture, data warehousing, and data platform experience.
  • 4+ years of hands-on experience designing and leading Snowflake implementations in cloud production environments.
  • Proven experience delivering enterprise-scale data warehouse, analytics, and data transformation programs.
  • Deep expertise in Snowflake architecture, including storage and compute separation, micro-partitioning, clustering, performance tuning, governance, and cost optimization.
  • Advanced knowledge of dimensional modeling, enterprise data architecture, and data governance best practices.
  • Strong SQL development skills and experience with modern ELT/ETL tools such as dbt, Fivetran, SSIS, and orchestration platforms.
  • Experience integrating structured and unstructured data sources, including documents, spreadsheets, emails, and PDFs.
  • Strong understanding of Microsoft Azure cloud services and enterprise data integration patterns.
  • Experience implementing Snowflake Cortex, Snowpark (Python), AI SQL, and AI-driven analytics capabilities in production environments.
  • Experience supporting database administration, data migrations, and modernization initiatives.
  • Strong leadership, communication, and stakeholder management skills with the ability to present technical strategy to executive audiences.
  • Demonstrated ability to mentor technical teams and align data platform strategies with long-term business objectives.
  • SnowPro Advanced Certification preferred.
  • Experience supporting construction, project-based, HR, finance, accounting, legal, or operations data environments preferred.

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