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Full Time Remote Data Modeler Jobs in Austin, TX

Create predictive models and machine-learning algorithms * Modify and combine different models through ensemble modeling * Organize and present information using data visualization techniques

Strong skills in scientific data analyses, modeling, visualization and communication of results ... Remote Support * Guaranteed Regular Salary Reviews * Job Type: W2 or Contract 1099 (full-time - 40 ...

Data Engineer

Austin, TX ยท On-site +1

$113K - $136K/yr

This is a fully remote position. Face to face communication is important to us, so we have ... Make data modeling and schema design decisions - choosing the right structure for how data is ...

Data Engineer

Austin, TX ยท 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 ...

Senior Data Team Lead (Remote)

Austin, TX ยท Remote

$86K - $217K/yr

... models. Apply now and have your resume considered for Senior Data Team Lead opportunities across ... This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ...

Senior Data Team Lead (Remote)

Austin, TX ยท Remote

$86K - $217K/yr

... models. Apply now and have your resume considered for Senior Data Team Lead opportunities across ... This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ...

Data Engineer

Austin, TX ยท Remote

$113K - $136K/yr

Why You'll Love It Here Flexibility Work that fits your life - with a remote work schedule ... Familiarity with Medallion Architecture (Bronze/Silver/Gold) data modeling approaches * Experience ...

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Full Time Remote Data Modeler information

See Austin, TX salary details

$10

$58

$82

How much do full time remote data modeler jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for full time 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.

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 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.
What are popular job titles related to Full Time Remote Data Modeler jobs in Austin, TX? For Full Time Remote Data Modeler jobs in Austin, TX, the most frequently searched job titles are:
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What cities near Austin, TX are hiring for Full Time Remote Data Modeler jobs? Cities near Austin, TX with the most Full Time Remote Data Modeler job openings:

Data Scientist (Remote)

Victory

Austin, TX โ€ข Remote

Full-time

Re-posted 22 days ago


Job description

About the Data Scientist position

We are looking for a skilled Data Scientist who will help us analyze large amounts of raw information to find patterns and use them to optimize our performance. You will build data products to extract valuable business insights, analyze trends and help us make better decisions.

We expect you to be highly analytical with a knack for analysis, math and statistics, and a passion for machine-learning and research. Critical thinking and problem-solving skills are also required.

Data Scientist responsibilities are:
  • Research and detect valuable data sources and automate collection processes

  • Perform preprocessing of structured and unstructured data

  • Design, implement and deliver maintainable and high-quality code using best practices (e.g. Git/Github, Secrets, Configurations, Yaml/JSON)

  • Review large amounts of information to discover trends and patterns

  • Create predictive models and machine-learning algorithms

  • Modify and combine different models through ensemble modeling

  • Organize and present information using data visualization techniques

  • Develop and suggest solutions and strategies to business challenges

  • Work together with engineering and product development teams

Data Scientist requirements are:
  • 3+ years' experience of working on Data Scientist or Data Analyst position

  • Significant experience in data mining, machine-learning and operations research

  • Experience with data modeling, design patterns, building highly scalable and secured solutions preferred

  • Prior experience installing data architectures on Cloud providers (e.g. AWS,GCP,Azure), using DevOps tools and automating data pipelines

  • Good experience using business intelligence/visualization tools (such as Tableau), data frameworks (such as Hadoop, DataFrames, RDDs, Dataclasses) and data formats (CSV, JSON, Parquet, Avro, ORC)

  • Advanced knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset

  • MA or PhD degree in Computer Science, Engineering or other relevant area; graduate degree in Data Science or other quantitative field is preferred
  • Must be a U.S. Citizen