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Data Modeler Contract Jobs in Missouri (NOW HIRING)

Metric5

Data Engineer - Top Secret Clearance

Saint Louis, MO · On-site

$140K - $170K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... AI/ML models into data pipelines, working with vector databases (e.g., OpenSearch k-NN), or ... contracts and query patterns. • Ability to design, develop, and operate highly available data ...

Metric5

Data Engineer - Top Secret Clearance

Saint Louis, MO · On-site

$140K - $170K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Applied knowledge of integrating AI/ML models into data pipelines, working with vector databases (e ... contracts and query patterns. * Ability to design, develop, and operate highly available data ...

Jobgether

$11.50 - $15.50/hr

... AI, multimodal models, and applied AI workflows. Sessions may range from smaller groups to ... This is a part-time contract position with a remote setup and scheduled sessions aligned with the ...

Kforce Technology Staffing

Power BI Developer

Kansas City, MO · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Develop and optimize DAX calculations, measures, and data models * Write and troubleshoot SQL ... Hourly employees on a Service Contract Act project are eligible for paid sick leave. Note: Pay is ...

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Showing results 41-60

All JobsData Modeler Contract JobsData Modeler Contract Jobs in Missouri

Data Modeler Contract information

What is a data modeler contract?

A Data Modeler Contract position involves working on a temporary or project-based basis to design, implement, and maintain data models that organize and structure data for efficient storage, retrieval, and analysis. Data modelers work closely with stakeholders to understand business requirements and translate them into logical and physical data models, often using tools like ERwin or IBM InfoSphere. As contractors, they may be hired for specific projects and are expected to deliver high-quality data modeling solutions within set timelines.

What are the key skills and qualifications needed to thrive as a data modeler contract?

To thrive as a Data Modeler on a contract basis, you need expertise in database design, data analysis, and data modeling concepts, often supported by a degree in computer science or a related field. Proficiency with tools such as ERwin, IBM InfoSphere Data Architect, or SQL-based systems, as well as familiarity with data warehousing and ETL processes, is typically required. Strong analytical thinking, attention to detail, and effective communication skills help you interpret business requirements and collaborate with stakeholders. These skills ensure the creation of robust, scalable data models that support organizational goals and efficient data management.

What are some typical challenges that contract data modelers might face when joining a new organization?

Contract Data Modelers often encounter the challenge of quickly understanding existing data architectures and business requirements within a limited timeframe. They must adapt to varying documentation standards, legacy systems, and sometimes incomplete data sources. Collaborating effectively with permanent team members such as database administrators, business analysts, and developers is crucial for aligning the data models with organizational goals. Strong communication and rapid learning skills can help overcome these hurdles and ensure successful project delivery.

What is the difference between Data Modeler Contract vs Data Analyst?

AspectData Modeler ContractData Analyst
Required CredentialsBachelor's in Computer Science, Data Management, or related field; certifications like CDMPBachelor's in Statistics, Mathematics, or related field; certifications like Microsoft Data Analyst
Work EnvironmentProject-based, contract roles in IT or data teamsOngoing, full-time roles in various industries
Employer & Industry UsageTech companies, consulting firms, finance, healthcareBusiness, marketing, finance, healthcare sectors

While both roles involve working with data, a Data Modeler Contract focuses on designing and creating data structures and models, often on a temporary basis. In contrast, a Data Analyst interprets data to provide insights and support decision-making in a more permanent role. Understanding these differences helps in choosing the right career path or job opportunity.

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

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

What are popular job titles related to Data Modeler Contract jobs in Missouri?

For Data Modeler Contract jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Data Modeler Contract jobs in Missouri look for?

The top searched job categories for Data Modeler Contract jobs in Missouri are:

What cities in Missouri are hiring for Data Modeler Contract jobs?

Cities in Missouri with the most Data Modeler Contract job openings:

Data Modeler Contract jobs near you
Infographic showing various Data Modeler Contract 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 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Senior Manager, Data Product - Streaming, Social

Jobtailor

California, MO • On-site

$120 - $180/hr

Other

Posted 13 days ago

Job description

  • Champion AI-ready data products by ensuring trusted business definitions, semantic consistency, metadata, lineage, observability, documentation, and governance are embedded into every streaming and social data product.
  • Ensure data products are designed to support emerging AI capabilities—including semantic retrieval, recommendation systems, intelligent agents, and LLM-powered experiences—through high-quality, well-governed enterprise data.
  • Partner with Commercial Strategy, Global Insights, Label Analytics, Marketing, Finance, and Digital Business teams to define trusted business metrics, KPIs, and standardized consumption definitions.
  • Manage the lifecycle of external consumption data sources, ensuring licensed datasets are consistently ingested, governed, documented, monitored, and integrated into trusted enterprise data products.
  • Define scalable dimensional models and semantic layers supporting streaming activity, audience engagement, artists, releases, tracks, playlists, social engagement, territories, and commercial performance.
  • Establish authoritative data products that serve as the source of truth for music consumption performance across labels, artists, releases, and markets.
  • Standardize business definitions for metrics, including streams, listeners, followers, saves, playlist reach, engagement, audience growth, chart performance, market share, and consumption trends.
  • Partner with engineering teams to implement SLAs, monitoring, observability, incident management, and operational support processes.
  • Establish and maintain data contracts with internal and external consumption data providers to improve reliability and predictability.
  • Drive adoption of consumption data products through business-friendly documentation, semantic models, stakeholder enablement, and training.
  • Evaluate opportunities to improve business outcomes by applying AI to music consumption, audience behavior, and content performance while maintaining strong governance and data quality standards.
Requirements
  • 5+ years of product management experience supporting digital music, streaming, audience analytics, media, entertainment, or digital content organizations.
  • Experience delivering data products that support AI, machine learning, predictive analytics, or generative AI initiatives.
  • Strong understanding of the digital music ecosystem, including streaming platforms, social media platforms, audience measurement, and music consumption trends.
  • Experience working with music consumption datasets, including streaming activity, artist performance, release performance, audience engagement, playlists, social signals, and chart data.
  • Familiarity with industry data providers and platforms such as Spotify, Apple Music, YouTube, Amazon Music, TikTok, Meta, Luminate, Chartmetric, SoundCloud, Pandora, or similar consumption and audience analytics platforms.
  • Understanding of artist lifecycle analytics, audience development, catalog performance, playlisting, fan engagement, and commercial music performance measurement.
  • Demonstrated experience owning data products throughout their lifecycle, from strategy and requirements through adoption and operational support.
  • Demonstrated ability to leverage modern AI tools to accelerate product discovery, documentation, analysis, and collaboration.
  • Strong understanding of the data foundations required for enterprise AI, including dimensional modeling, data warehousing concepts, data marts, semantic layers, and modern analytics architectures.
  • Experience in defining and managing data quality frameworks, governance standards, and operational reliability practices.
  • Experience in establishing and managing data contracts and cross-functional data ownership models.
  • Strong SQL proficiency preferred, with the ability to independently validate requirements and investigate data issues.
  • Proven ability to translate complex technical concepts into clear business outcomes and stakeholder value.
  • Exceptional stakeholder management, communication, and influence skills.
  • Strong systems thinker with a customer‑centric product mindset.
Core Competencies

Demonstrates expertise in managing AI-ready data products, ensuring high-quality data governance, and driving stakeholder engagement through effective communication and documentation. Proficient in leveraging data analytics and modern AI tools to enhance music consumption insights and audience behavior analysis.

Highest-signal resume keywords
  • Product Management Experience
  • Data Governance Standards
  • SQL Proficiency
  • AI and Machine Learning Initiatives
  • Digital Music Ecosystem Knowledge
ATS Optimization Keywords Hard Skills
  • Data Product Lifecycle Management
  • Dimensional Modeling
  • Data Warehousing Concepts
  • Semantic Layer Development
  • Predictive Analytics
  • Audience Measurement
  • Data Quality Frameworks
  • Operational Reliability Practices
  • Stakeholder Enablement
  • Business Metrics Definition
Soft Skills
  • Exceptional Communication Skills
  • Stakeholder Management
  • Customer-Centric Mindset
  • Influence Skills
  • Systems Thinking
Industry Keywords
  • Digital Music
  • Streaming Platforms
  • Audience Analytics
  • Music Consumption Trends
  • Commercial Music Performance
Tools & Technologies
  • Spotify
  • Apple Music
  • YouTube
  • Amazon Music
  • TikTok
  • Meta
  • Luminate
  • Chartmetric
  • SoundCloud
  • Pandora
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