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Data Modelling Jobs in Texas (NOW HIRING)

Avani Technology Solutions, Inc.

GCP Data Engineer

Dallas, TX · On-site

$107K - $129K/yr

Knowledge on Data Modelling and reporting using Google Cloud BigQuery * Knowledge on building data pipelines leveraging GCP best methodologies * Strong understanding towards Kubernetes, docker ...

Trafigura

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Required : • Minimum 3 years' experience in Python and SQL, with a focus on data integration or pipeline development, including experience with relational databases and data modelling. • Hands-on ...

Atria Group LLC

Hadoop Admin

Plano, TX

The candidate is expected to be hands-on in Cassandra data modelling and maintenance.. The candidate is expected to be experienced in the development of enterprise data applications NO SQL ...

Shell

Sr. AI & Data Engineer-Trading Analytics

Houston, TX

$109K - $131K/yr

Support ingestion, modelling, and transformation of largescale timeseries pricing and fundamentals ... Proven data engineering skills, including pipeline development, data modelling, and performance ...

Sonoma Consulting Inc.

Data Analytics Lead

Plano, TX

This position will provide customer insight to the organization through analysis, research, modelling and data mining. Provide analytical support to the organization by leveraging data mining tools ...

Atria Group LLC

Data Architect

Houston, TX · On-site

$61 - $78.25/hr

... Data Modelling Understanding of ETL Tools and Design Preferred TOGAF Understanding of Environmental Sciences Experience delivering in an agile environment Experience in a multi-vendor environment ...

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Data Modelling information

Will AI replace data modelers?

AI is unlikely to fully replace data modelers, as their role involves complex understanding of business needs, data structures, and design principles that require human judgment. Instead, AI tools can assist data modelers by automating routine tasks and enhancing productivity, allowing them to focus on more strategic aspects of data modeling. Continuous learning and proficiency with data modeling tools remain important for job security in this field.

Is 40 too late for data science?

Data Modelling is a key skill in data science, and age is not a barrier to entering the field. Many professionals transition into data science later in their careers by acquiring relevant skills such as programming, statistics, and tools like SQL or Python. Continuous learning and building a strong portfolio can help overcome age-related concerns in the industry.

How much do data modelers make?

Data modelers typically earn between $70,000 and $120,000 annually, depending on experience, location, and industry. Senior data modelers with specialized skills in database design and data warehousing can earn higher salaries, especially with certifications and advanced tools knowledge.

What do you do in data modeling?

A data modeler designs and creates data structures, such as databases and schemas, to organize and store information efficiently. They analyze data requirements, define relationships, and use tools like ER diagrams and modeling software to ensure data integrity and accessibility.

What is the difference between Data Modelling vs Data Analyst?

AspectData ModellingData Analyst
Primary FocusDesigning data structures and schemasAnalyzing data to generate insights
Skills & CertificationsData modeling, database design, SQLData analysis, statistics, Excel, SQL
Work EnvironmentDatabase design teams, data architectureBusiness units, reporting teams
Tools UsedER diagrams, data modeling softwareExcel, BI tools, SQL

Data Modelling focuses on creating the structure and design of data systems, while Data Analysts interpret data to provide actionable insights. Both roles often collaborate but serve different purposes within data management and analysis processes.

Data Modelling jobs near you

Senior Database / Azure Data Engineer - LLM & Agentic AI Focus || Dallas, Texas (Onsite)

THE TILTED CIRCLE LLC

Dallas, TX

$105K - $143K/yr

Other

Posted 4 days ago

Job description

Position: Senior Database / Azure Data Engineer – LLM & Agentic AI Focus
Location: Dallas, Texas (Onsite)
Duration: Contract
Job Description:
Key Responsibilities

  • Design, develop, and maintain scalable, high-performance database solutions.
  • Lead data modelling, database design, and performance-tuning initiatives.
  • Develop and optimize complex SQL/T-SQL queries, stored procedures, functions, and triggers.
  • Implement and manage Role-Based Access Control (RBAC) while ensuring database security and compliance.
  • Analyze and improve database internals, indexing strategies, and execution plans.
  • Build and manage end-to-end data pipelines using Azure Data Factory.
  • Design and implement modern data architectures, including data warehouses and data lakes using Azure Synapse and Microsoft Fabric.
  • Collaborate with cross-functional teams to deliver scalable data engineering and analytics solutions.
  • Develop and maintain Python-based data services, APIs, and microservices.
  • Use frameworks such as DBT, FastAPI, or Django to support data transformation and service exposure.
  • Integrate data platforms with LLM-based systems and agentic workflows to enable intelligent automation.
  • Contribute to the design and implementation of agentic AI solutions, including orchestration, tool usage, and API interaction patterns.

Required Qualifications

Database Engineering Expertise

  • 10–14 years of experience as a Database Engineer or Data Engineer.
  • Strong expertise in data modelling, database design, performance tuning, optimization, advanced SQL, and T-SQL.
  • Proven experience writing complex stored procedures, user-defined functions (UDFs), and triggers.
  • Strong knowledge of database internals, indexing, execution plans, security models, and RBAC.

Azure Data Engineering

  • 5+ years of experience with Azure data platforms.
  • Hands-on experience building complex pipelines and orchestrations using Azure Data Factory (ADF).
  • Experience with Azure Synapse Analytics, Microsoft Fabric, data lakes, and data warehouse implementations.
  • Good understanding of the Azure ecosystem, core services, and networking fundamentals such as VNets and private endpoints.

Programming and Frameworks

  • Strong hands-on experience in Python for API integrations, data processing, and microservices architecture.
  • Familiarity with DBT (Data Build Tool), workflow orchestration tools, and frameworks such as FastAPI or Django.

AI, LLM, and Agentic Systems

  • Experience working with LLM-based interfaces and AI-powered automation workflows.
  • Hands-on exposure to Claude or similar agentic coding frameworks.
  • Experience designing and building agent-based solutions.
  • Understanding of prompt engineering, tool orchestration, API-based LLM integrations, and autonomous or semi-autonomous workflow design.

Preferred Qualifications

  • Experience implementing AI-driven data solutions.
  • Exposure to MLOps or AI lifecycle management.
  • Familiarity with distributed systems and event-driven architectures.
  • Strong problem-solving and analytical skills.

Soft Skills

  • Excellent communication and stakeholder management skills.
  • Ability to work effectively in a fast-paced, collaborative environment.
  • Strong attention to detail with a performance-optimization mindset.

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