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Data Modeler Contract Jobs in Missouri (NOW HIRING)

Koantek

Data Engineer - Multiple Positions

Chesterfield, MO · On-site

$113K - $136K/yr

United States - Remote Employment Type: Full-Time and Contract Data Engineer Description: As a Data ... modeling. * Hands-on experience with various data management technologies and tools, such as Kafka ...

Koantek

Data Engineer - Multiple Positions

Chesterfield, MO · Remote

$113K - $136K/yr

United States - Remote Employment Type: Full-Time and Contract Data Engineer Description: As a Data ... modeling. Hands-on experience with various data management technologies and tools, such as Kafka ...

ConfigUSA

Data Scientist

Saint Louis, MO · On-site

St Louis, MO - Onsite Position Duration: 6 months GC/USC Highly Preferred - Potential contract to ... These products include using algorithms for automation, building predictive models, designing ...

WAVSYS

Be Seen First

Data Scientist

Saint Louis, MO · On-site

$50 - $53/hr

  • Medical

Analyzes and models data to understand complex business issues and provide insight to decision ... Company Description WAVSYS is a national solutions company offering contract, permanent and turnkey ...

New

Jobtailor

Data Integration Analyst

California, MO · On-site

$90 - $130/hr

... strong relationships with data owners, defining data contracts, and accelerating ... Familiarity with ontology/modeling artifacts or data catalog technologies. * Prior exposure to ...

New

Jobgether

$94K - $124K/yr

Develop Power BI semantic models, dimensional data models, and governance standards to enable high ... Fully remote contract opportunity for Europe-based professionals. * Opportunity to lead the ...

Inland Empire Health Plan

Data Scientist II

California, MO · On-site

$118.60 - $157.14/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... models to better forecast risk across the portfolio for our contracts and claims activity ... Conducts data analysis and create moderately complex algorithms. * Work with Institute stakeholders ...

DPR Construction

Data and AI Project Analyst

Louisiana, MO · On-site

$70 - $90/hr

... contracts + Align with AI governance policies (data privacy, model usage, vendor constraints)* Help define: + What data can be shared + How it can be used (internal vs external) + Where it should be ...

New

Lockton, Inc.

Pharmacy Data Analyst

Kansas City, MO · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Develop financial models and reports for clients and account executive/consultants, provide ... Learn to interpret clients' current contract terms, pharmacy programs and identify/recommend gaps ...

Jobtailor

Data Scientist - Conversational AI

Dearborn, MO · On-site

$120 - $150/hr

Design and analyze A/B tests to measure the impact of prompt adjustments, model updates, and new ... data contracts. Requirements * Education: A Master's Degree in a quantitative, technical, or ...

Jobgether

  • Medical

... * Long-term B2B contract with a stable project pipeline. * Fully remote working model ... Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process ...

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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.

Data Engineer - Multiple Positions

Koantek

Chesterfield, MO • On-site

$113K - $136K/yr

Contractor

Re-posted 24 days ago

Job description


Location: United States - Remote
Employment Type: Full-Time and Contract
Data Engineer
Description:
As a Data Engineer at Koantek, you will leverage advanced data engineering techniques and analytics to support business decisions for our clients. Your role will involve designing and building robust data pipelines, integrating structured and unstructured data from various sources, and developing tools for data processing and analysis. You will play a pivotal role in managing data infrastructure, optimizing data workflows, and guiding data-driven strategies while working closely with data scientists and other stakeholders.
The impact you will have:
  • Guide Big Data Transformations: Implementation of comprehensive big data projects, including the development and deployment of innovative big data and AI applications.
  • Ensure Best Practices: Guarantee that Databricks best practices are applied throughout all projects to maintain high-quality service and successful implementation.
  • Support Project Management: Assist the Professional Services leader and project managers with estimating efforts and managing risks within customer proposals and statements of work.
  • Architect Complex Solutions: Design, develop, deploy, and document complex customer engagements, either independently or as part of a technical team, serving as the technical lead and authority.
  • Enable Knowledge Transfer: Facilitate the transfer of knowledge and provide training to team members, customers, and partners, including the creation of reusable project documentation.
  • Contribute to Consulting Excellence: Share expertise with the consulting team and offer best practices for client engagement, enhancing the effectiveness and efficiency of other teams.

Requirements
Minimum qualifications:
  • Educational Background: Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience).
  • Experience:
    • 3+ years of experience as a Data Engineer, with proficiency in at least two major cloud platforms (AWS, Azure, GCP).
    • Proven experience in designing, developing, and implementing comprehensive data engineering solutions using Databricks, specifically for large-scale data processing and integration projects
    • Develop scalable streaming and batch solutions using cloud-native components.
    • Perform data transformation tasks, including cleansing, aggregation, enrichment, and normalisation, utilising Databricks and related technologies.
    • Experience in applying DataOps principles and implementing CI/CD and DevOps practices within data environments to optimize development and deployment workflows.
  • Technical Skills:
    • Expert-level proficiency in Spark Scala, Python, and PySpark.
    • In-depth knowledge of data architecture, including Spark Streaming, Spark Core, Spark SQL, and data modeling.
    • Hands-on experience with various data management technologies and tools, such as Kafka, StreamSets, and MapReduce.
    • Proficient in using advanced analytics and machine learning frameworks, including Apache Spark MLlib, TensorFlow, and PyTorch, to drive data insights and solutions.
  • Databricks Specific Skills:
    • Extensive experience in data migration from on-premises to cloud environments and in implementing data solutions on Databricks across cloud platforms (AWS, Azure, GCP).
    • Skilled in designing and executing end-to-end data engineering solutions using Databricks, focusing on large-scale data processing and integration.
    • Proven hands-on experience with Databricks administration and operations, including notebooks, clusters, jobs, and data pipelines.
    • Experience integrating Databricks with other data tools and platforms to enhance overall data management and analytics capabilities.
  • Good to have Certifications:
    • Certification in Databricks Engineering (Professional)
    • Microsoft Certified: Azure Data Engineer Associate
    • GCP Certified: Professional Google Cloud Certified.
    • AWS Certified Solutions Architect Professional

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