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Data Modeling Jobs in Austin, TX (NOW HIRING)

Data Engineer

Austin, TX

$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 ...

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

Data Architect

Austin, TX · On-site

$63.25 - $81.25/hr

Years Required/Preferred Experience 10 Required Experience in data architecture, data modeling, and data warehousing. 10 Required Experience with business intelligence and big data solutions. 10 ...

SAP BTP Data Architect

Austin, TX · On-site

$63.25 - $81.25/hr

... data model catalogs to create a shared understanding of core business data. • Evolves data governance, ownership, metadata, and lineage standards across the enterprise. • Protects core ...

What You'll Do Data Modeling & Transformation * Design, build, and maintain dbt models that transform raw source data into clean, well-documented, analytics-ready tables in Snowflake * Establish and ...

Database Architect

Austin, TX

$63.25 - $81.25/hr

Work with IQ's ETL (extract/transform/load), BI (business intelligence), and DBA (data base administrator) teams to develop models and reporting structures to support current and projected reporting ...

Data Scientist, Analytics

Austin, TX · On-site +1

$160K - $200K/yr

You'll own both halves of the problem: the data models and measurement systems that make rigorous analysis possible, and the analysis itself - investigating business questions and recommending what ...

Sr Data Analyst

Austin, TX · Hybrid

$85K - $107K/yr

The Sr Data Analyst uses tools such as Power Desktop/Power BI Report Builder (SSRS) to deliver high-impact analytics, reporting, and dashboards; develop complex data models; and identify and resolve ...

New

Data Architect

Austin, TX · On-site

$120 - $150/hr

In this role, you will design and govern data migration, integration architecture, and CRM data models that enable scalable, reliable, and efficient onboarding outcomes. You will collaborate ...

New

Sr GCP Data Engineer

Austin, TX · On-site

$114K - $137K/yr

Strong SQL and data modeling knowledge * Experience implementing data quality checks (schema validation, row count checks, anomaly detection)

Data Engineer

Austin, TX · On-site

$90K - $145K/yr

Creating data model, performance tuning, load plan etc. Making sure that deliverables fulfill both functional and non-functional requirements * Provide guidance and technical oversight to junior ...

Showing results 41-60

Data Modeling information

See Austin, TX salary details

$10

$58

$82

How much do data modeling jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for data modeling in Austin, TX is $58.25, according to ZipRecruiter salary data. Most workers in this role earn between $52.21 and $67.74 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 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $121,155 per year, or $58.2 per hour.

$111K - $134K/yr

Full-time

Re-posted 22 days ago


Job description

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 trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart.

We are embarked on a journey to build Environments that are entire digital worlds that can be used to push the frontier of agents.

What You'll Be Working On

You will work directly with our research team on RL environment and task creation for agent training. This means designing observation spaces, action spaces, reward signals, and success criteria for new environments — and building the infrastructure that makes world-scale RL training possible. This is a high-ownership role; you will be building novel systems, not maintaining legacy ones.

Must-Have Skills

3+ years of data engineering experience — pipelines, ETL, data modeling in production or research settings

Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools)

Familiarity with at least one RL framework (Gymnasium / OpenAI Gym, dm_env, or equivalent) and working knowledge of RL environment structure — observation/action spaces, reward signals, episode logic

Experience with data versioning and experiment tracking (DVC, MLflow, W&B, or similar)

Comfortable with Docker and cloud infrastructure (AWS or GCP)

Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines