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Remote Data Modeler Jobs in Texas (NOW HIRING)

$109K - $132K/yr

Remote position. Candidates must be based in Mexico, preferably in Monterrey, Nuevo Leon *** Job ... Assess and rationalize data models from acquired entities, mapping, and harmonizing schemas to ...

$109K - $132K/yr

Remote position. Candidates must be based in Mexico, preferably in Monterrey, Nuevo Leon *** Job ... Assess and rationalize data models from acquired entities, mapping, and harmonizing schemas to ...

Data Architect

Austin, TX · Remote

$63.25 - $81.25/hr

Data Architect - Remote Intertek, a leading provider of quality and safety solutions to many of the ... What you'll do: * Architect and maintain enterprise data models, schemas, and integration ...

Data Scientist

San Antonio, TX · On-site +1

$61K - $141K/yr

Remote Work: Yes Job Number: R0241019 Location: San Antonio,TX,US Share job via: Share Data ... Ability to develop predictive data models, quantitative analyses and visualization of targeted data ...

$130K - $144K/yr

Remote, United States Reports To: Engineering Manager What We're Looking For: Requirements ... Data Modeling : Strong understanding of data modeling concepts and practices * Big Data ...

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Remote Data Modeler information

See Texas salary details

$9

$54

$77

How much do remote data modeler jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for remote data modeler in Texas is $54.70, according to ZipRecruiter salary data. Most workers in this role earn between $49.04 and $63.61 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Remote Data Modeler position, and why are they important?

A Remote Data Modeler should possess strong skills in data modeling concepts, database design, and a background in computer science or a related field. Expertise in tools such as ER/Studio, SQL, and familiarity with cloud data platforms (e.g., AWS, Azure) and relevant certifications like CDMP are highly valued. Exceptional analytical thinking, communication, and self-management abilities set top performers apart, especially when collaborating with distributed teams. These skills enable the creation of accurate, scalable data models and ensure effective remote collaboration on complex data projects.

What does a typical day look like for a Remote Data Modeler?

A typical day for a Remote Data Modeler involves collaborating with stakeholders to gather data requirements, designing and updating data models, and documenting structures for existing or new systems. You’ll spend significant time working with modeling tools, writing or reviewing database scripts, and participating in virtual meetings to ensure alignment with development teams and business analysts. Regular tasks include data mapping, troubleshooting modeling issues, and updating data dictionaries. The role requires balancing focus time for deep analysis with clear virtual communication to ensure projects progress smoothly.

What is a Remote Data Modeler job?

A Remote Data Modeler is responsible for designing, implementing, and optimizing data models that support business intelligence, analytics, and database management. They work with large datasets, ensuring data is structured efficiently for performance and scalability. This role often involves collaboration with data engineers, analysts, and business stakeholders to define data requirements. Since it's a remote position, strong communication and self-management skills are crucial for success.

What are the most commonly searched types of Data Modeler jobs in Texas? The most popular types of Data Modeler jobs in Texas are:
What are popular job titles related to Remote Data Modeler jobs in Texas? For Remote Data Modeler jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Remote Data Modeler jobs in Texas look for? The top searched job categories for Remote Data Modeler jobs in Texas are:
What cities in Texas are hiring for Remote Data Modeler jobs? Cities in Texas with the most Remote Data Modeler job openings:

Data Engineer - Clearance Required

LMI Consulting, LLC

San Antonio, TX • Remote

$101K - $174K/yr

Other

Posted 27 days ago


Job description

Data Engineer - Clearance Required
Job Locations US-Remote | US-TX-San Antonio | US-MD-Aberdeen
Job ID 2026-14000
# of Openings 1
Benefit Type Salaried High Fringe/Full-Time
Overview

We are seeking a Strategic Data Engineer to support a critical Army mission by transforming complex technical data into actionable insights for senior leadership. You will be responsible for building automated data flows that map hardware and software interdependencies, identifying redundant requirements to drive program efficiency, and utilizing advanced modeling techniques to conduct "what-if" drills. The ideal candidate is a master of strategic storytelling; someone who can take deep-set technical data and use it to communicate investment trade-offs and resource needs to high-level stakeholders for our Army clients.

LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.

Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.

Responsibilities

Data Integration & Mapping: Design and implement automated workflows to facilitate cross-system data flow. Identify and visualize critical interdependencies between hardware components and software systems across the enterprise. Support the integration of data across programs and the software acquisition pathway to monitor real-time program health.

Redundancy Identification: Analyze large datasets of requirements across multiple programs to pinpoint duplications. Drive consolidation to eliminate waste and streamline operations.

Portfolio & Solution Modeling: Develop and maintain data models that allow for "what-if" scenario planning and enterprise-level ontologies to ensure consistent data definitions across various programs. Assess how changes in one program impact the broader system-of-systems portfolio.

Requirements Traceability: Utilize data-driven "downtracing" methods to refine solution architectures and ensure every requirement is traceable from high-level mission goals down to technical implementation.

Strategic Storytelling: Translate complex data models into compelling narratives, dashboards, and briefings. Clearly communicate project requirements, resource gaps, and the impact of various investment trade-offs to senior Army leadership.

Qualifications

Required Qualifications

Experience: 8+ years of experience in data engineering or architecture, or systems engineering, preferably within a Department of War or Army environment.

Technical Proficiency: Advanced experience with data integration tools and languages (e.g., Python, SQL, or specialized MBSE tools like Cameo or MagicDraw).

Analytical Skills: Proven ability to perform complex data mapping and identify interdependencies in a "system-of-systems" architecture.

Strategic Communication: Exceptional ability to present technical data to non-technical executive audiences, focusing on resource allocation and decision-making.

Education: Bachelor degree in Engineering, Data Science, Computer Science, or a related technical field.

Desirable Qualifications

    Certifications: Active INCOSE (ASEP/CSEP), OCSMP model certification, or something related
  • Understanding of human-centered design and UIUX best practices
  • Army Domain Knowledge: Familiarity with Army acquisition processes, CPE models, the Army's modernization priorities, and implementing data governance standards to ensure interoperability
  • Experience building data bridges or integrations between System Modeling tools (e.g., Cameo or Capella/Arcadia) and Analytics platforms (e.g., Vantage)
  • Security Clearance: Active Secret or Top Secret clearance preferred
  • Modeling Expertise: Experience with digital engineering frameworks and requirements management tools (e.g., DOORS)
  • Knowledge of Modular Open Systems Approach (MOSA) standards to ensure data portability and system interoperability

Location

  • Remote

Clearance

  • Ability to obtain DoW Secret

Target Salary Range: $101,144 - $174,591

Disclaimer:

The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.

#LI-SH1


LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact accommodations@lmi.org
Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
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