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Data Modeling Jobs in Austin, TX (NOW HIRING)

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Proficient in data modeling and writing queries using Apache Doris. * Sound knowledge of BI, Reporting and Data Warehousing. * Experience in designing and developing ETL data pipelines. * Proficient ...

Data Scientist

Austin, TX · On-site

$90 - $130/hr

Work with high resolution machine and agronomic data in the development and testing of predictive models. * Develop and deliver production-ready machine learning approaches to yield insights and ...

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

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

Sr. Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Experience with data modeling in Snowflake, performance tuning the queries and optimization. * Computational analysis using Snowflake, MySQL, Python, Tableau and Business Objects. * Experience with ...

Data Scientist under general supervision will perform data engineering, data modeling and model deployment. Analyze large scale complex business data (time series data, structured/unstructured) from ...

Snowflake Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Experience with data modeling in Snowflake, performance tuning the queries and optimization. * Computational analysis using Snowflake, MySQL, Python, Tableau and Business Objects. * Experience with ...

Software Engineer - Data

Austin, TX · On-site

$113K - $136K/yr

Responsibilities : • Design and implement a tiered data architecture that integrates analytics data from multiple sources in an efficient and effective manner. • Develop data models and mapping ...

Data Scientist

Austin, TX · On-site

$100 - $130/hr

Serve as a Data Scientist on the Employee Productivity & Support team. Act as the technical lead ... Develop, validate, and deploy production-level machine learning models, including regression ...

... data models, integration patterns, metadata management, and data quality standards. • Architect and implement Master Data Management (MDM) solutions, preferably with Profisee, to ensure golden ...

Data Science Engineer

Austin, TX · On-site

$113K - $136K/yr

The role involves developing machine learning models, collaborating with various teams, and ... and develop data analytics pushes with product, marketing, and sales teams • Write and ...

Data Engineer

San Marcos, TX · On-site

$109K - $131K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have ...

Data Engineer

Austin, TX · On-site

$111K - $134K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have ...

Serve as the data design authority, governing data models, integration patterns, metadata management, and data quality standards. * Architect and implement Master Data Management (MDM) solutions ...

Showing results 21-40

Data Modeling information

See Austin, TX salary details

$10

$58

$82

How much do data modeling jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for data modeling 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 do data modelers do?

Data modelers design and create data structures and schemas to organize and define how data is stored, accessed, and managed within databases. They analyze business requirements, develop data models using tools like ER diagrams, and ensure data consistency and integrity, often working with database management systems and data governance standards.

What are the key skills and qualifications needed to thrive in data modeling, and why are they important?

To thrive in Data Modeling, you need strong analytical skills, proficiency in database design, and a solid understanding of data structures, usually supported by a degree in computer science, information systems, or a related field. Expertise with tools such as ERwin, SQL, PowerDesigner, or similar data modeling software, as well as knowledge of normalization techniques and experience with data warehousing concepts, are highly valued. Effective communication, attention to detail, and problem-solving abilities set outstanding data modelers apart, allowing them to convey complex concepts to both technical and non-technical stakeholders. These skills are vital for building accurate, scalable data models that serve as the foundation for reliable data-driven decision-making within organizations.

What is a data modeling?

A Data Modeling job involves designing and structuring data to ensure it is organized, efficient, and scalable for business needs. Data modelers create conceptual, logical, and physical data models that define relationships between data elements. They work closely with database administrators, data engineers, and analysts to optimize data storage and retrieval. Their role is crucial for maintaining data integrity and supporting business intelligence and analytics initiatives. Skills in SQL, database design, and data normalization are essential for success in this role.

How much do data modelers make?

Data modelers typically earn a median annual salary between $70,000 and $110,000, depending on experience, location, and industry. Senior data modelers with advanced skills in database design and data warehousing can earn higher salaries, often exceeding $120,000. Certifications in data management and proficiency with tools like SQL and ER modeling can also influence compensation.

What does a typical day look like for someone working in data modeling?

A typical day in Data Modeling often involves collaborating with business analysts, database administrators, and software developers to understand data requirements and translate them into logical and physical data structures. Data modelers spend time designing, reviewing, and optimizing data models, ensuring accuracy and consistency across systems and projects. They also review data flows, document data dictionaries, and participate in meetings to align data architecture with overall business needs. The role frequently requires balancing independent technical work with teamwork, as well as responding to feedback and evolving project requirements to support organizational goals.

What is a data modeling job?

A data modeling job involves designing and creating data structures, such as databases and schemas, to organize and store information efficiently. Data modelers use tools like ER diagrams and work with programming languages and database management systems to ensure data integrity and accessibility.

What cities near Austin, TX are hiring for Data Modeling jobs?

Cities near Austin, TX with the most Data Modeling job openings:

Infographic showing various Data Modeling job openings in Austin, TX as of August 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 67% In-person, and 33% Hybrid job distribution, with an average salary of $121,049 per year, or $58.2 per hour.

Data Engineer

Wise Skulls

Austin, TX • On-site

$113K - $136K/yr

Contractor

Posted 12 days ago


Job description

Title: Data Engineer
Location: Austin, TX or Sunnyvale, CA (Hybrid)
Duration: 6 months (possibility of extension)
Implementation Partner: Infosys
End Client: To be disclosed
JD:
Skills:
  • Proven hands-on experience in Snowflake database.
  • Proven hands-on experience in working on solutions using Apache Doris. Proficient in data modeling and writing queries using Apache Doris.
  • Sound knowledge of BI, Reporting and Data Warehousing.
  • Experience in designing and developing ETL data pipelines.
  • Proficient in writing complex SQLs, expertise in performance tuning of SQLs.
  • Strong skills in Python scripting and programming.
  • Hands-on experience in database and table design.
  • Working with huge volumes of data would be an advantage
  • Good communication skills.