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Data Modeling Jobs in Missouri (NOW HIRING)

Data Architect

O Fallon, MO · On-site

$59.75 - $76.75/hr

Experience with ETL/ELT tools, data modeling (dimensional, normalized), and data pipeline orchestration . Familiarity with data governance tools (e.g., Collibra, Informatica), and metadata management.

$58.50 - $75.25/hr

Own and maintain enterprise data models (e.g., Customer, Product, Order, Inventory), ensuring clear definitions, documented lineage, and reuse across analytical, operational, and agentic use cases.

Optimize SQL queries for performance in Power BI data models. * Ensure data integrity and consistency during integration. * Collaborate with stakeholders to understand reporting requirements ...

Optimize SQL queries for performance in Power BI data models. * Ensure data integrity and consistency during integration. * Collaborate with stakeholders to understand reporting requirements ...

Big Data Analytics Developer

Saint Louis, MO · On-site

$51.50 - $66.75/hr

Must have a strong understanding of data modeling in both Remote Procedure Call (RPC) and Representational State Transfer (REST). My client is currently building a cloud-based analytics platform ...

Azure Data Architect

Saint Louis, MO · On-site

$66.05 - $76.05/hr

This role plays a critical part in defining data models, data flows, architectural standards, and best practices across the organization. Responsibilities: * Design and maintain enterprise data ...

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 ...

Data Architect

Saint Louis, MO · On-site

$62 - $79.75/hr

Design and manage enterprise data architecture, including data models, metadata, master data, and reference data, to support business analytics, BI, and AI initiatives. * Establish and monitor data ...

Data Architect

Saint Louis, MO · Hybrid

$62 - $79.75/hr

Design and manage enterprise data architecture, including data models, metadata, master data, and reference data, to support business analytics, BI, and AI initiatives. * Establish and monitor data ...

You will work across the full data lifecycle, from data ingestion and processing to modeling, reporting, and operational excellence. The position offers significant autonomy, close collaboration with ...

Data Engineer

Saint Louis, MO · Hybrid

$111K - $133K/yr

Develop and refine prompts for Large Language Models (LLMs) to assist in data-related tasks such as data cleansing, transformation logic generation, and automated data documentation. * Design, build ...

Data Architect

Saint Louis, MO · On-site

$62 - $79.75/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 ...

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Data Modeling information

See Missouri salary details

$9

$55

$78

How much do data modeling jobs pay per hour?

As of Jun 14, 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 cities in Missouri are hiring for Data Modeling jobs? Cities in Missouri with the most Data Modeling job openings:
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.
Senior Manager, Data Analytics-CES Data Enablement (Return Business)

Senior Manager, Data Analytics-CES Data Enablement (Return Business)

Walmart

Noel, MO

$90K - $180K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago


Walmart rating

6.0

Company rating: 6.0 out of 10

Based on 21,712 frontline employees who took The Breakroom Quiz

22nd of 39 rated national retailers


Job description

Position Summary...Our Customer Engagement Services (CES) team, formerly the Walmart Care team, is leading big changes to improve both customer experience and business outcomes. We're using advanced technology, AI, and data to turn customer service into a key driver of impact—not just a support function. We’re helping leaders gain powerful customer insights, improve satisfaction, reduce issues, and cut costs—all aligned with Walmart’s Every Day Low Cost (EDLC) approach. As the Data and Analytics team in CES, our mission is to turn customer interactions into actionable insights that shape strategy and deliver measurable results across the business.
We are seeking a highly skilled and hands-on Sr. Manager of Data Enablement to lead the development of a robust data foundation for the Returns business within Customer Engagement Services (CES). This role will focus on designing scalable data models, enabling trusted data structures, and accelerating actionable insights that guide business decisions and measure impact.
As a key partner across analytics, product, and data engineering teams, this role will translate complex business needs into structured data solutions—ensuring data is reliable, accessible, and optimized for reporting, analytics, and insight generation. This position plays a critical role in enabling a single source of truth and driving measurable improvements in customer experience, cost reduction, and operational efficiency.What you'll do...Data Foundation & Modeling (Returns Focus)
  • Design and build scalable, standardized data models to support Returns analytics, reporting, and insight generation.
  • Establish clean, structured datasets that enable consistent KPI tracking (e.g., returns rate, defect drivers, cost impacts).
  • Ensure data structures are extensible to support future business needs and additional use cases.
Data Enablement & Single Source of Truth
  • Develop and maintain a trusted data foundation that powers dashboards, reporting, and advanced analytics.
  • Eliminate data inconsistencies by aligning definitions, metrics, and sources across teams.
  • Enable a unified data layer that supports self-service analytics and reduces manual data validation work.
Partnership with Data Engineering & Analytics
  • Work closely with Data Engineering to define data requirements, optimize pipelines, and improve data latency and reliability.
  • Collaborate with analytics teams to ensure data models support business questions, root cause analysis, and actionable insights.
  • Translate business requirements into scalable data solutions and technical specifications.
Data Governance & Quality
  • Define and enforce data governance standards, including metric definitions, lineage, and quality controls.
  • Ensure Returns data is accurate, consistent, and decision-ready across reporting and analytics use cases.
  • Proactively identify and resolve data gaps or inconsistencies.
Business Impact & Insight Enablement
  • Enable analytics that identify key drivers of returns, customer pain points, and operational inefficiencies.
  • Support measurement frameworks to evaluate impact of business initiatives (e.g., return reduction, policy changes, self-service improvements).
  • Partner with stakeholders to ensure data outputs translate into actionable business decisions.
Continuous Improvement & Innovation
  • Continuously improve data structures, processes, and enablement capabilities to reduce time-to-insight.
  • Leverage emerging technologies (e.g., GenAI, automation) to enhance data accessibility and insight generation.
  • Identify opportunities to scale data solutions across CES and broader Walmart use cases.
What you'll bring: Education:
  • Bachelor’s degree in Data Analytics, Data Science, Engineering, Statistics, or related field; Master’s preferred.
Experience:
  • 5+ years of experience in data enablement, data modeling, analytics engineering, or related roles
  • Strong experience working in highly cross-functional environments
  • Experience supporting product, operations, or customer experience domains (Returns experience preferred)
Technical & Functional Skills:
  • Deep expertise in data modeling, data structures, and scalable data architecture
  • Strong experience with SQL/AI Coding tool and working with large-scale data platforms
  • Experience partnering with Data Engineering on pipelines, ETL processes, and data optimization
  • Strong understanding of data governance, quality frameworks, and best practices
Business & Communication Skills:
  • Strong business acumen with ability to connect data solutions to measurable outcomes
  • Ability to translate complex data concepts into clear, actionable insights
  • Excellent stakeholder management and cross-functional collaboration skills
The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.   Your Career Journey at Walmart: At Walmart, we want to make sure your experience connecting with us is seamless and straightforward. Here’s what to expect when interacting with us as recruiters:   We’ll reach out via verified LinkedIn profiles or emails ending in "@walmart.com.” or “@samsclub.com”. All job opportunities and applications are hosted on our official careers site: http://careers.walmart.com. There is no cost or payment required to apply or be considered for a position.   If you have any doubts about a communication, feel free to visit our careers page to verify authenticity. Thank you for exploring opportunities at Walmart! At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices. Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
The annual salary range for this position is $90,000.00 - $180,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- Stock

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Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field and 4 years' experience in data analysis, data science, statistics, or related field. Option 2: Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in data analysis, data science, statistics, or related field. Option 3: 6 years' experience in data analysis, data science, statistics, or related field.
1 year's supervisory experience.Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Data science, data analysis, statistics, or related field, Master’s degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field, Related industry experience (for example, retail, merchandising, healthcare, eCommerce), Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (for example, SQL, Python, Spark, Scala, R, Power BI, or Tableau), Supervisory experiencePrimary Location...805 Respect, Bentonville, AR 72716, United States of AmericaWalmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

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About Walmart

Sourced by ZipRecruiter

From our humble beginnings as a small discount retailer in Rogers, Ark., Walmart has opened thousands of stores in the U.S. and expanded internationally. Through innovation, we're creating a seamless experience to let customers shop anytime and anywhere online and in stores. We are creating opportunities and bringing value to customers and communities around the globe. Walmart operates approximately 10,500 stores and clubs in 19 countries and eCommerce websites. We employ 2.1 million associates around the world — nearly 1.6 million in the U.S. alone.

Industry

Retail and transportation and warehousing

Company size

10,000+ Employees

Headquarters location

Bentonville, AR, US

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