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Semantic Jobs in Texas (NOW HIRING)

Sr. Software Engineer - Analytics Engineering

Austin, TX · On-site

$121K - $160K/yr

Role Description Semantic Modeling and DAX * Design, build, and optimize Power BI semantic models using Power BI Desktop, Tabular Editor, and related modeling tools. * Develop advanced DAX measures ...

Build and maintain a semantic layer over our data lake and warehouse using Snowflake Semantic Views and Databricks Unity Catalog Metric Views, making business concepts queryable by both humans and ...

Build and maintain a semantic layer over our data lake and warehouse using Snowflake Semantic Views and Databricks Unity Catalog Metric Views, making business concepts queryable by both humans and ...

Agentic AI Engineer

Houston, TX · On-site

$103.15 - $158.59/hr

Build and maintain a semantic layer over our data lake and warehouse using Snowflake Semantic Views and Databricks Unity Catalog Metric Views, making business concepts queryable by both humans and ...

Data Engineering Manager

Dallas, TX · On-site

$113K - $136K/yr

REQUIRED SKILLS Snowflake Semantic Layer Kafka Hands-on experience with: * SQL, Python, PySpark * Snowflake (data modeling, performance optimization, RBAC, Bronze/Silver/Gold architecture) * DBT for ...

Azure OpenAI Azure AI Foundry Azure AI Search Microsoft Copilot Studio Semantic Kernel Vector Databases RAG (Retrieval-Augmented Generation) Semantic Search Agentic AI MCP (Model Context Protocol ...

Principal Software Engineer (Python)

Dallas, TX · On-site +1

$133K - $179K/yr

Architect and Evolve the Semantic Layer: Lead the redesign and scaling of the existing Semantic Layer Web Service, transitioning it from a manual 130-attribute baseline to an automated, high ...

Showing results 41-60

Semantic information

See Texas salary details

$51.7K

$110.6K

$161.6K

How much do semantic jobs pay per year?

As of Sep 5, 2026, the average yearly pay for semantic in Texas is $110,563.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,800.00 and $124,400.00 per year, depending on experience, location, and employer.

What is a semantic job?

A Semantic job typically involves working with meaning and context in language, data, or technology. It may include roles in natural language processing (NLP), knowledge representation, search engine optimization (SEO), or semantic web technologies. Professionals in this field develop algorithms, ontologies, and models to improve understanding and classification of information. These jobs are common in AI, data science, and digital marketing industries.

What are the key challenges faced by semantic engineers when implementing knowledge graphs in large organizations?

Semantic Engineers often encounter challenges related to integrating disparate data sources, ensuring data quality, and aligning ontologies across departments. In large organizations, there can be legacy systems and inconsistent data formats, making it difficult to create a unified semantic model. Additionally, Semantic Engineers must collaborate closely with data architects, subject matter experts, and software developers to ensure the knowledge graph accurately reflects the organization's information needs and remains scalable as requirements evolve.

What are the key skills and qualifications needed to thrive as a semantic analyst, and why are they important?

To thrive as a Semantic Analyst, you need expertise in linguistics, natural language processing (NLP), data analysis, and a relevant degree such as linguistics, computer science, or information science. Familiarity with tools like Python, NLP libraries (e.g., NLTK, spaCy), and semantic annotation systems is typically required. Strong analytical thinking, attention to detail, and effective communication skills help you interpret complex language data and collaborate with technical teams. These competencies are vital to accurately extract, structure, and apply meaning from language data, driving insights and solutions in various industries.

What is the difference between Semantic vs Data Analyst?

AspectSemanticData Analyst
Required CredentialsBackground in linguistics, computer science, or related fields; knowledge of semantic web technologiesDegree in statistics, mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentResearch-focused, often in tech or AI companies, working on language understandingBusiness or research settings, analyzing data to inform decisions
Industry UsageUsed in AI, NLP, and semantic web projectsUsed across finance, marketing, healthcare, and other sectors
Common Search/ComparisonSemantic vs Data Analyst

Semantic professionals focus on understanding and structuring meaning in language and data, often working with AI and NLP technologies. Data Analysts interpret data sets to generate insights for business decisions. While both roles involve data, Semantic roles emphasize language and knowledge representation, whereas Data Analysts focus on statistical analysis and reporting.

What are the most commonly searched types of Semantic jobs in Texas?

The most popular types of Semantic jobs in Texas are:

What are popular job titles related to Semantic jobs in Texas?

For Semantic jobs in Texas, the most frequently searched job titles are:

Infographic showing various Semantic job openings in Texas as of August 2026, with employment types broken down into 87% Full Time, 7% Part Time, and 6% Contract. Highlights an 71% Physical, 6% Hybrid, and 23% Remote job distribution, with an average salary of $110,563 per year, or $53.2 per hour.

Sr. Software Engineer - Analytics Engineering

SHI International Corp

Austin, TX • On-site

$125 - $140/hr

Other

Medical, Dental, Vision, Retirement

Re-posted 4 days ago


Job description

About Us

Since 1989, SHI International Corp. has helped organizations change the world through technology. We've grown every year since, and today we're proud to be a $16 billion global provider of IT solutions and services. Over 17,000 organizations worldwide rely on SHI's concierge approach to help them solve what's next. But the heartbeat of SHI is our employees - all 7,000 of them.

If you join our team, you'll enjoy:

  • Our commitment to diversity, as the largest minority- and woman-owned enterprise in the U.S.
  • Continuous professional growth and leadership opportunities.
  • Health, wellness, and financial benefits to offer peace of mind to you and your family.
  • World-class facilities and the technology you need to thrive - in our offices or yours.
Job Summary

We are seeking a highly skilled Sr. Software Engineer - Analytics Engineering with deep expertise in semantic modeling, DAX, and the Microsoft Fabric analytics ecosystem. This role is responsible for designing, optimizing, and maintaining enterprise-grade Power BI semantic models that deliver accurate, scalable, and actionable insights across the organization. The ideal candidate combines strong technical modeling expertise with business acumen, collaboration skills, and a commitment to data quality, governance, and performance. This position is required to report to the Austin, TX or Somerset, NJ location on a hybrid basis.

Role DescriptionSemantic Modeling and DAX Design
  • Semantic Modeling and DAX Design, build, and optimize Power BI semantic models using Power BI Desktop, Tabular Editor, and related modeling tools.
  • Develop advanced DAX measures and calculations to support complex business logic, reporting requirements, and analytical use cases.
  • Ensure semantic models are scalable, maintainable, high-performing, and aligned with enterprise standards and best practices.
  • Optimize semantic models within Microsoft Fabric, including performance tuning, model architecture, refresh processes, and usability.
  • Troubleshoot Power BI models, measures, and refresh processes to improve reliability, efficiency, and user experience.
Microsoft Fabric and Analytics Engineering
  • Develop and maintain Power BI datasets, reports, dataflows, and related assets supporting enterprise analytics solutions.
  • Implement row-level security, incremental refresh, and other Power BI capabilities to support secure and efficient reporting.
  • Work within Microsoft Fabric to deliver analytics solutions across lakehouse, warehouse, data pipeline, and semantic model components.
  • Apply data modeling, analytics engineering, and performance optimization techniques to meet business and technical requirements.
  • Support the design and delivery of scalable and governed enterprise analytics platforms.
Collaboration, Governance, and Enablement
  • Partner with data engineers, analysts, business stakeholders, and report developers to understand requirements and deliver trusted analytics solutions.
  • Support BI governance initiatives through documentation, data quality practices, Microsoft Purview alignment, and version control processes.
  • Provide technical guidance, training, and support to end users, analysts, and junior developers.
  • Promote standards for semantic model design, naming conventions, documentation, security, governance, and lifecycle management.
Behaviors and Competencies
  • Communication: Can effectively communicate complex ideas and information to diverse audiences and can facilitate effective communication between others.
  • Listening: Can actively engage in listening by asking clarifying questions and providing feedback that shows a deep understanding of the conversation.
  • Presenting: Can design and deliver engaging presentations, adapting the content and style to suit the audience, context, and medium.
  • Adaptability: Can proactively adapt to challenging situations, anticipate changes, and make modifications to meet the demands of changing circumstances.
  • Problem-Solving: Can proactively identify potential problems, initiate preventive measures, and propose and contribute to innovative solutions.
  • Initiative: Can proactively seek out challenges, initiate projects, and contribute to innovative ideas.
  • Prioritization: Can proactively identify high-impact tasks, initiate action plans, and contribute to process improvements.
  • Time Management: Can consistently use time effectively, balance multiple tasks, and meet deadlines.
  • Technical Expertise: Can apply technical knowledge and skills effectively in complex situations and can guide others in the application of technical knowledge and skills.
  • Teamwork: Can lead a team effectively, facilitating cooperation, sharing information, and ensuring that all team members are able to contribute to their full potential.
Skill Level Requirements
  • Advanced expertise in analytics engineering, semantic modeling, and enterprise reporting solutions.
  • Strong proficiency with DAX, including the ability to design and implement complex business calculations.
  • Deep understanding of data warehousing concepts, dimensional modeling, star schema design, and analytics modeling best practices.
  • Experience applying data modeling, optimization, and performance tuning techniques to enterprise analytics solutions.
  • Strong analytical, troubleshooting, problem-solving, communication, and collaboration skills.
  • Ability to work effectively with technical teams and business stakeholders.
  • Experience implementing reporting security, governance standards, and data quality best practices.
  • Familiarity with Agile delivery methodologies and version control practices.
Other Requirements
  • Bachelor's degree in Computer Science, Software Engineering, or a related field, or relevant work experience required.
  • 5+ years of experience developing Power BI solutions, including semantic models, reports, and enterprise analytics assets.
  • Hands-on experience with Power BI tools such as Tabular Editor, DAX Studio, and ALM Toolkit.
  • Experience working with Microsoft Fabric, including semantic models and analytics workloads.
  • Familiarity with lakehouse storage concepts and file formats such as Parquet and Delta.
  • Experience with Agile delivery practices and version control using GitHub or similar tools.
  • Ability to travel 10%.
  • Preferred Certification in Microsoft Power BI, Microsoft Fabric, Azure, or related Microsoft data platforms.
  • Experience using Python for data analysis, automation, or analytics engineering workflows.
  • Experience with PowerApps automation and Copilot Studio.

The estimated annual pay range for this position is $125,000 - $140,000 which includes a base salary. The compensation for this position is dependent on job-related knowledge, skills, experience, and market location and, therefore, will vary from individual to individual.

  • medical
  • vision
  • dental
  • 401K
  • flexible spending

Equal Employment Opportunity – M/F/Disability/Protected Veteran Status

About Us

Since 1989, SHI International Corp. has helped organizations change the world through technology. We've grown every year since, and today we're proud to be a $16 billion global provider of IT solutions and services. Over 17,000 organizations worldwide rely on SHI's concierge approach to help them solve what's next. But the heartbeat of SHI is our employees - all 7,000 of them.

If you join our team, you'll enjoy:

  • Our commitment to diversity, as the largest minority- and woman-owned enterprise in the U.S.
  • Continuous professional growth and leadership opportunities.
  • Health, wellness, and financial benefits to offer peace of mind to you and your family.
  • World-class facilities and the technology you need to thrive - in our offices or yours.
#J-18808-Ljbffr

SHI International logo

About SHI International

Sourced by ZipRecruiter

SHI International, located in Somerset, NJ, US, is a global provider of technology products and services. Operating in the Information Technology and Services industry, SHI offers comprehensive IT solutions ranging from software and hardware procurement, deployment planning, cloud-based services, IT asset management, and more to a diverse client base. Founded in 1989 by Thai Lee, the company has grown exponentially, amassing a deep pool of expertise and earning recognition as one of North America's top 15 largest IT solutions providers. Driven by a mission to help customers select, deploy, and manage technologies that drive productivity, profitability, and innovation, SHI cherishes its reputation as a cost-effective, customer-centric technology partner.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Somerset, NJ, US

Year founded

1989