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Data Modeler Jobs in Austin, TX (NOW HIRING)

Data Architect

Austin, TX · On-site

$100 - $130/hr

Design end-to-end data models for eSource forms, visit schedules, and Nexa Bus transfer pipelines from protocol and CRF specifications * Author and maintain EDC/eSource field mappings, transformation ...

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 ...

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

Develop and maintain logical and physical data models that support business and analytical needs. * Collaborate with business and technical teams to ensure data quality, performance, and successful ...

Data Architect

Austin, TX · On-site

$63.25 - $81.25/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 cross ...

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 ...

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 ...

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 ...

Data Solutions Engineer

Austin, TX · On-site

$113K - $136K/yr

This role works across the data lifecycle, including data analysis, data modeling, data architecture, data engineering, and data integration. You will work closely with cross-functional teams to ...

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

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 ...

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

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 ...

Ensure models adhere to project standards and naming conventions. * Maintain organized and accurate ... Collaborate with Coordinators and Leads regarding routing conflicts or missing data. * Execute ...

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 ...

Showing results 41-60

Data Modeler information

See Austin, TX salary details

$10

$58

$82

How much do data modeler jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for data modeler 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 is a data modeler?

Data Modelers are professionals who design, create, and manage data models that define the structure, organization, and relationships of data within databases or information systems. They work closely with business analysts, database administrators, and developers to ensure that data is organized efficiently and can be accessed and used effectively. Data Modelers use specialized tools and techniques to translate business requirements into conceptual, logical, and physical data models, supporting data consistency, integrity, and security across an organization's systems.

How much do data modelers make?

Data modelers typically earn a median annual salary between $80,000 and $120,000, depending on experience, location, and industry. Senior data modelers with specialized skills in database design and data warehousing can earn higher salaries, often exceeding $130,000 annually.

What are some typical challenges data modelers face when working on large-scale projects?

Data Modelers often encounter challenges such as integrating data from multiple, disparate sources and ensuring consistency across large and complex datasets. Aligning the data model with evolving business requirements while maintaining performance and scalability can also be demanding. Additionally, effective communication with stakeholders—like business analysts, database administrators, and software developers—is crucial to ensure the data model meets both technical and business needs.

What are the key skills and qualifications needed to thrive as a data modeler?

To thrive as a Data Modeler, you need a strong understanding of database design, data modeling concepts (such as ER diagrams and normalization), and proficiency in SQL, often supported by a degree in computer science or a related field. Experience with data modeling tools like ERwin, IBM InfoSphere Data Architect, or Microsoft Visio, as well as knowledge of database management systems (DBMS), is typically required. Strong analytical thinking, attention to detail, and effective communication skills help in translating business requirements into technical data structures. These skills and qualities are essential for building scalable, efficient, and accurate data systems that meet organizational needs.

What does a data modeler do?

As a data modeler, your responsibilities are to break down complex computer system data into a logical process that makes it easier to understand for data analysis and statistical purposes. Your duties as a data modeler include reducing data redundancy, checking for data errors, conceptualizing and designing efficient data models, overseeing data architecture growth, and fine-tuning data performance. These positions are usually independent, but you may sometimes need to work with other team members to address potential issues related to data. Data modelers need self-motivation, critical thinking, and problem-solving skills, and you should be quick to adapt.

What are the most commonly searched types of Data Modeler jobs in Austin, TX? The most popular types of Data Modeler jobs in Austin, TX are:
What are popular job titles related to Data Modeler jobs in Austin, TX? For Data Modeler jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Data Modeler jobs in Austin, TX look for? The top searched job categories for Data Modeler jobs in Austin, TX are:
What cities near Austin, TX are hiring for Data Modeler jobs? Cities near Austin, TX with the most Data Modeler job openings:
Infographic showing various Data Modeler 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.

Healthcare Data Architect & Manager - Harbor Data Systems (HDS)

Harbor Health

Austin, TX • On-site, Remote

$63.25 - $81.25/hr

Full-time

Re-posted 3 days ago


Job description

COMPANY OVERVIEW
At Harbor Health, we're transforming healthcare in Texas through collaboration and innovation. We're seeking passionate individuals to help us create a member-centered experience that connects comprehensive care with a modern payment model.
If you're ready to make a meaningful impact in a dynamic environment where your contributions are valued, please bring your talents to our team!
POSITION OVERVIEW
Harbor Health is rebuilding the operating system of healthcare. The HDS team contributes to this by building "HarborOS", the central nervous system of our clinical operations, tying together information from different clinical sources to drive optimal outcomes for our members. Data is our product.
We are looking for a Healthcare Data Architect & Manager to lead the design of foundational data structures and ontologies that will help us transform healthcare. You will not just move data; you will define how our business understands it. You will take raw chaos (claims, ADT, disparate EMR feeds) and architect the trusted data models and master indexes that power our patient care, risk adjustment, and financial decisions.
WHAT YOU WILL DO
  • Architect the Healthcare Data Model: Design the core schemas and data models that define our business. You will decide how we model complex, systemic concepts like "Attribution," "Risk," and "Claims Adjudication" to ensure historical accuracy, scalability, and query performance.
  • Define the Technology Standards & Strategy: Set the overarching strategy for our data stack (Snowflake, realtime streams etc) and dbt environments. You will dictate our approach to data schema, reporting schema, stream and transactional use of data. Dimensional Modeling (Kimball/Star Schema), denormalization vs. normalization, and Medallion architecture progression.
  • Data Usability and Access: Design and implement the deterministic and probabilistic matching logic to assign unique identifiers to patients coming from highly fragmented external sources (HIEs, external EMRs, payers).
  • Bridge Engineering and Clinical Operations: Act as the primary strategic interface between Clinical/Business Operations and Engineering. You will interview stakeholders to uncover the "Why" behind their requests and translate complex, ambiguous business needs into precise architectural specifications.
  • Domain Leadership & Mentorship: Act as the deep subject matter expert on healthcare data for the engineering team. Mentor our engineers on healthcare domain nuances (e.g., why a reversal claim behaves differently than a void) and raise the collective technical bar for system design.
  • Technical Ownership & Execution: Drive complex initiatives from inception to delivery. Leveraging your deep healthcare expertise, you will interpret asks from clinical & business stakeholders and work with the engineering team to design and deliver the optimal data architecture.

WHAT WE NEED
  • Healthcare "Payvider" Domain Mastery: You bring deep subject matter expertise in healthcare data domains both on provider and payer side. You are fluent in EDI, FHIR, ADT and other standards used in healthcare, and how this data is aggregated & modelled to support execution.
  • Data Architecture Fundamentals: Proven experience designing highly scalable data platforms from scratch. You deeply understand how column-oriented databases (Snowflake) work under the hood and realtime processing and how to design schemas that optimize partition pruning and compute costs at scale.
  • dbt & Transformation Fluency: You know how to structure a massive dbt project for enterprise scale, including macroarchitecture, incremental strategies, and dependency management while trading off quality management rigor with velocity.
  • Technical Influence: You can deliver hands-on, writing performant, readable, and complex SQL and read/review Python pipelines, as well as influence & coach other engineers through systemic standards and architectural reviews.
STRONGLY PREFERRED
  • You bring deep subject matter expertise in healthcare data domains. You are fluent in processing 837 files, modeling the claim lifecycle (Adjudication, Reversal, Denial), and handling provider data nuances (NPI vs. TIN).
  • Proven experience designing Dimensional Models (Kimball/Star Schema) from scratch. You know when to denormalize for performance and when to normalize for integrity.
OUR STACK
  • Transformation: dbt (Core/Cloud)
  • Warehouse: Snowflake
  • Ingestion: Fivetran, Python (Custom)
  • Orchestration: Airflow / Dagster
  • BI/Semantic Layer: Omni

WHAT WE OFFER
  • Opportunity to shape the financial foundation of an innovative healthcare model
  • Collaborative and dynamic work environment
  • An organization made of people who are passionate about changing the healthcare landscape
  • Competitive salary, company equity and robust benefits package
  • Professional development and growth opportunities
  • A transparent and unique culture

Harbor Health is an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law. We are committed to creating an inclusive environment for all clinicians and teammates and actively encourage applications from people of all backgrounds.