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Entry Level Remote Data Modeler Jobs in Austin, TX

Interactive Process Technology LLC

Data Engineer

Austin, TX · On-site +1

$113K - $136K/yr

Data Engineer Remote At IPT Associates (IPTA), we enjoy solving real-world problems with technology ... Apply foundational data modeling and data ontology concepts to help organize mission data in ways ...

Loxo

Data Engineer

Austin, TX · On-site +1

$113K - $136K/yr

Reverse engineer data models from other vendors * Troubleshoot data quality issues and write ... Progressive culture * 100% flexibility in living and working from anywhere you want * 100% remote ...

Adidev Technologies Inc

DATA SCIENTIST

Austin, TX · Remote

Strong skills in scientific data analyses, modeling, visualization and communication of results ... S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ...

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All JobsData Modeler JobsEntry Level Remote Data Modeler JobsEntry Level Remote Data Modeler Jobs in Austin, TX

Entry Level Remote Data Modeler information

See Austin, TX salary details

$10

$58

$82

How much do entry level remote data modeler jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for entry level remote data modeler in Austin, TX is $58.20, according to ZipRecruiter salary data. Most workers in this role earn between $52.16 and $67.69 per hour, depending on experience, location, and employer.

What does an entry level remote data modeler do?

An Entry Level Remote Data Modeler assists in designing, creating, and maintaining data models that organize and structure information for companies, typically while working from home. They work closely with data architects and analysts to translate business requirements into technical data structures, such as databases or data warehouses. Their tasks may include creating diagrams, documenting data flows, and ensuring data integrity. This role often requires proficiency in data modeling tools and a basic understanding of databases and data management concepts.

What are the key skills and qualifications needed to thrive as an entry level remote data modeler, and why are they important?

To thrive as an Entry Level Remote Data Modeler, you need foundational knowledge in database concepts, data modeling principles, and a relevant degree in computer science or information systems. Familiarity with tools like ER/Studio, Microsoft Visio, and SQL-based database systems is typically expected. Strong analytical thinking, attention to detail, and effective communication are standout soft skills for this role. These skills and qualities are important because they ensure accurate data structure design, collaboration with remote teams, and successful implementation of data solutions.

What are the typical challenges faced by entry level remote data modelers, and how can they overcome them?

Entry-level remote data modelers often face challenges such as limited access to immediate mentorship, difficulty understanding complex data structures, and ensuring clear communication with distributed teams. To overcome these obstacles, it’s important to proactively seek feedback through regular virtual meetings, utilize collaboration platforms for documentation and model sharing, and participate in online forums or communities for peer support. Building a habit of clear, detailed documentation and asking clarifying questions early can also help navigate the learning curve and contribute effectively to team projects.

What is the difference between Entry Level Remote Data Modeler vs Entry Level Remote Data Analyst?

AspectEntry Level Remote Data ModelerEntry Level Remote Data Analyst
Primary FocusDesigning and developing data models and database structuresAnalyzing data sets to identify trends and generate reports
Required SkillsData modeling, SQL, database design, understanding of data architectureData analysis, Excel, SQL, visualization tools
Work EnvironmentRemote, often collaborating with data engineers and developersRemote, working with business teams and stakeholders
Common CertificationsNone required but beneficial: Microsoft Certified Data Analyst, IBM Data ScienceNone required but beneficial: Microsoft Certified Data Analyst, Google Data Analytics

While both roles are entry-level and often remote, data modelers focus on structuring and designing data systems, whereas data analysts interpret data to support decision-making. Understanding these differences helps job seekers target the right roles based on their skills and career goals.

What are the most commonly searched types of Remote Data Modeler jobs in Austin, TX?

The most popular types of Remote Data Modeler jobs in Austin, TX are:

What are popular job titles related to Entry Level Remote Data Modeler jobs in Austin, TX?

For Entry Level Remote Data Modeler jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Entry Level Remote Data Modeler jobs in Austin, TX look for?

The top searched job categories for Entry Level Remote Data Modeler jobs in Austin, TX are:

What cities near Austin, TX are hiring for Entry Level Remote Data Modeler jobs?

Cities near Austin, TX with the most Entry Level Remote Data Modeler job openings:

Entry Level Remote Data Modeler jobs near you
Infographic showing various Entry Level Remote Data Modeler job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $121,049 per year, or $58.2 per hour.

Data Engineer

Interactive Process Technology LLC

Austin, TX • On-site, Remote

$113K - $136K/yr

Full-time

Re-posted 16 days ago

Job description

Data Engineer

Remote


At IPT Associates (IPTA), we enjoy solving real-world problems with technology. We work closely with our customers, teammates, experts, and partners to come up with practical solutions that make a difference. Whether it's a government or business organization, we focus on understanding the need and building something that works.

Our Team

At IPTA, everything starts with our people. We're big believers that when you invest in your team, great things happen. That's why we encourage learning, growth, and trying new things-even if you don't have all the answers yet.

Our culture is rooted in fierce determination, fearless integrity, and passionate service-but we also like to keep things collaborative, supportive, and down-to-earth.

We're looking for people who:

  • Are curious and excited about technology
  • Like solving problems and figuring things out
  • Can take initiative but also enjoy working with a team
  • Want to keep learning, growing, and challenging themselves

If you're someone who's eager to jump in, learn something new, and make an impact-you'll fit right in here.


Responsibilities:

  • Support development and maintenance of data pipelines, datasets, and curated data products within the Army Vantage analytics ecosystem
  • Assist with preparing ingested data in Vantage for manipulation, including standardization, transformation, enrichment, validation, and basic quality checks
  • Help structure data so it can support visualization, analysis, reporting, and AI-assisted workflows within Army Vantage
  • Apply foundational data modeling and data ontology concepts to help organize mission data in ways that improve discoverability, usability, and accessibility
  • Support connections between disparate Army databases, FCC tools, A365-based data sources, and higher command data sources
  • Use A365 and Microsoft tools such as Dataverse, Power Platform, Power Automate, Power Apps, SharePoint, and Power BI to support data collection, workflow automation, reporting, and transition of data into Vantage-ready structures
  • Develop and maintain SQL queries and scripts to support dashboards, metrics, data validation, and ad hoc analysis
  • Document data flows, data definitions, transformation logic, and engineering processes to improve maintainability and reuse
  • Work closely with senior engineers, government analysts, and data scientists to implement mission requirements while following security, governance, and access control policies

Requirements:

  • Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or related field
  • 1-3 years of experience in data engineering, data analysis, business intelligence, or related technical roles
  • Must have experience with Azure Data Factory
  • Strong Python programming skills
  • Foundational knowledge of SQL, data manipulation, data modeling, and data quality concepts
  • Familiarity with Microsoft-based data environments, preferably Microsoft 365, Dataverse, Power Platform, Power BI, SharePoint, or related tools
  • Preferred experience with Palantir Foundry (Army Vantage); candidates without direct Vantage experience must be able to quickly learn Army Vantage tools, data workflows, and data product development practices
  • Ability to work in secure government environments and follow defined engineering, governance, and documentation processes
  • Ability to obtain and maintain an Active Secret clearance

Desired Experience:

  • Direct exposure to Army Vantage or other DoD enterprise analytics platforms
  • Hands-on experience with Army 365 (A365), Dataverse, Power Platform, Power Automate, Power Apps, SharePoint, and/or Power BI
  • Experience supporting dashboards, reports, analytics solutions, data pipelines, or data quality activities
  • Familiarity with basic data governance, metadata, data cataloging, data ontology, or data quality practices
  • Strong communication skills, attention to detail, and willingness to learn new Army data platforms and mission workflows

IPTA is an Equal Opportunity Employer. All employment decisions are based on individual merit, including qualifications, experience, performance, and business needs, consistent with applicable federal laws and federal contracting requirements. IPTA provides equal opportunity and utilizes merit-based principles to make employment-related decisions.


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