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Full Time Remote Data Modeler Jobs in Colorado (NOW HIRING)

SAIC

Data Scientist

Colorado Springs, CO · On-site +1

$120K - $160K/yr

Data Scientist Schedule: Full-Time Shift: Day Job Travel: Yes - 25% of the time Minimum Clearance ... None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a Data Scientist to join ...

NuView Analytics

Senior Data Analyst

Denver, CO · On-site +1

$90K - $120K/yr

100% Remote Full-time Senior Analyst At NuView Analytics - we help companies accelerate the time to ... Statistical modeling and machine learning Qualifications: * Bachelors Degree in Analytics ...

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Full Time Remote Data Modeler information

What is a full time remote data modeler?

Full Time Remote Data Modelers are professionals who design, create, and maintain data models for organizations while working from a remote location. Their main responsibility is to structure and organize data so it can be efficiently stored, accessed, and analyzed, often collaborating with data engineers, analysts, and other IT staff. Working full time means they typically work a standard 40-hour week, and since the role is remote, all communication and collaboration are done virtually. These professionals are essential for organizations that rely heavily on data-driven decision making and need robust data infrastructure. They often use tools like ERwin, SQL, or PowerDesigner and are skilled in database management and programming.

What are the key skills and qualifications needed to thrive as a full time remote data modeler?

To thrive as a Full Time Remote Data Modeler, you need expertise in database design, data modeling concepts (such as ER diagrams and normalization), and a degree in computer science or a related field. Familiarity with data modeling tools (like ER/Studio, Erwin, or SQL-based platforms) and experience with cloud databases are commonly required. Strong analytical thinking, attention to detail, and effective remote communication skills help you excel in collaborating with distributed teams. These skills are crucial for ensuring accurate data structures, efficient data flow, and seamless integration in complex, remote-driven projects.

How do full time remote data modelers typically collaborate with distributed teams to ensure data consistency and project alignment?

Full Time Remote Data Modelers usually work closely with other data professionals, such as data engineers, analysts, and business stakeholders, using collaborative tools like shared documentation, version control systems, and virtual meetings. Clear communication and regular sync-ups are essential to ensure everyone understands the data models and that standards are consistently applied across projects. These professionals often participate in daily stand-ups, design reviews, and cross-functional team discussions to address challenges, clarify requirements, and maintain alignment with business goals. Remote work requires proactive communication and a disciplined approach to documentation to avoid misinterpretations and ensure data integrity.

What is the difference between Full Time Remote Data Modeler vs Full Time Remote Data Analyst?

AspectFull Time Remote Data ModelerFull Time Remote Data Analyst
Primary RoleDesigns and develops data models and database structuresAnalyzes data to generate reports and insights
Required SkillsData modeling, database design, SQL, data warehousingData analysis, visualization, SQL, statistical tools
Work EnvironmentRemote, often collaborating with data engineers and architectsRemote, working with business teams and stakeholders
Common CertificationsCDMP, CBIP, Microsoft Certified Data AnalystMicrosoft Certified Data Analyst, SAS, Tableau certifications

While both roles work remotely and require SQL and data skills, a Full Time Remote Data Modeler focuses on designing data structures, whereas a Full Time Remote Data Analyst interprets data to support business decisions. They complement each other but serve different functions within data teams.

What are popular job titles related to Full Time Remote Data Modeler jobs in Colorado?

For Full Time Remote Data Modeler jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Full Time Remote Data Modeler jobs in Colorado look for?

The top searched job categories for Full Time Remote Data Modeler jobs in Colorado are:

What cities in Colorado are hiring for Full Time Remote Data Modeler jobs?

Cities in Colorado with the most Full Time Remote Data Modeler job openings:

Full Time Remote Data Modeler jobs near you
Infographic showing various Full Time Remote Data Modeler job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Data Integration Specialist (17691)

The Baer Group

Lakewood, CO • On-site, Remote

Full-time

Posted 9 days ago

Job description

**Federal Project - Applicant must be a United States Citizen, with the ability to obtain a Public Trust**
Baer is looking for Data Integration Specialist for a 9 month Federal Remote Project.
Title: Data Integration Specialist
Location: Remote (Must be based in US)
Duration: 9+ Months
Rate: All-Inclusive
Alignment: W2 or C2C
Summary:
We are seeking a Mid-Level Data Integration Specialist to design, develop, and support data ingestion, transformation, integration, and orchestration workflows supporting Oracle APEX applications and GenAI-enabled solutions. This role will help modernize and migrate data from a legacy .NET application into the Oracle ecosystem while ensuring reliable, secure, and high-quality data for applications and AI pipelines.
Working under the Data Integration Lead, this position collaborates with APEX developers, GenAI engineers, business analysts, and DevOps teams to implement established data models, mappings, and integration standards.
Responsibilities:
  • Develop and maintain ETL/ELT pipelines supporting Oracle APEX and GenAI solutions.
  • Build transformations, validations, business rules, views, materialized views, stored procedures, and data services.
  • Support migration of legacy .NET data schemas and business logic into modern Oracle/APEX data models.
  • Integrate enterprise data into Oracle databases using REST APIs, ORDS endpoints, and approved integration tools.
  • Implement data quality checks, reconciliation, exception handling, and pipeline monitoring.
  • Troubleshoot data loading, transformation, schema, query performance, and integration issues.
  • Partner with APEX developers to optimize application-facing queries and data structures.
  • Support GenAI engineers with clean, structured data for embeddings, retrieval/RAG, and evaluation datasets.
  • Collaborate with DevOps on scheduling, data refreshes, deployments, and environment management.

Experience:
  • 3+ years of experience in data integration, ETL/ELT, data engineering, or application data support.
  • Strong SQL skills with experience in Oracle databases.
  • Hands-on experience with PL/SQL, views, materialized views, and stored procedures.
  • Experience with ETL/ELT tools, source-to-target mapping, data transformation, and workflow scheduling.
  • Understanding of relational data modeling and business data structures.
  • Experience integrating RESTful APIs, ORDS, or service-based data sources.
  • Strong troubleshooting skills across data quality, schemas, transformations, and performance.
  • Experience working within Agile delivery environments.

Public Trust Security Clearance is the lowest level of additional background screening that the federal government requires for applicants of certain jobs, which includes completing a Standard Form 85 (SF85) form.
Company Overview:
Baer provides best-in-class engagement experiences for our consultants. Our job requirements are carefully vetted and are typically associated with pivotal programs offering tremendous opportunities to expand your skills leveraging the latest solutions.
Baer is an equal opportunity employer including disability/veteran.
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