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Data Plus Jobs in Texas (NOW HIRING)

... is a plus. • Experience supporting AI/ML or GenAI use cases through well-governed and analytics-ready data models is preferred. • Industry experience in healthcare, manufacturing, financial ...

... a plus) • Strong analytical and quantitative problem-solving abilities • Excellent ... data streams and business context a plus Company : Wiliot is an IoT company that develops self ...

They are seeking a detail-oriented and technically motivated Data Analyst to join their operations ... plus Company : LP Analyst is the source for independent advisory and analysis solutions for the ...

Preferred : • Experience designing data annotation workflows, labeling guidelines, or label quality processes is a plus. • Experience with model deployment, monitoring, or production ML workflows ...

Data Architect - Data & Semantic Modeling Role Overview We are seeking an experienced Data ... plus. * Experience supporting AI/ML or GenAI use cases through well-governed and analytics-ready ...

Remote Data Analyst

Dallas, TX · On-site +1

$50K - $63K/yr

... plus - Familiarity with data management and ETL processes is a plus We Offer: - Competitive salary and benefits package - Opportunities for growth and development within a fast-growing company - A ...

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Data Technician

Mission, TX · On-site

$17 - $23/hr

We are looking for a dependable and motivated Data Technician to join our team. This position is ... Bilingual is a plus Company Description Telepro Communications is a low voltage and communications ...

Experience in working on Agile and Rally tool is a plus * Strong understanding and hands-on ... Should have worked on large data sets and experience with performance tuning and troubleshooting ...

Data Modeler

Dallas, TX · On-site

$54.25 - $70.25/hr

... is a plus. · Working knowledge of agile development, including DevOps and DataOps concepts. · Working knowledge of SAP data models, particularly in the context of HANA and S/4HANA, Retails Data ...

Data Entry Clerk

Houston, TX

$15.50 - $20.50/hr

High school diploma or equivalent; additional education is a plus * Strong typing and data entry skills with a high level of accuracy * Proficient in Microsoft Office, especially Excel, Word, and ...

Finance Data Engineer

Austin, TX · On-site

$113K - $136K/yr

The Finance Data Engineer is a technical expert who creates data interfaces, pipelines and codebase ... plus

... plus) · Strong analytical and quantitative problem-solving abilities · Excellent interpersonal ... data streams and business context a plus · Flexible team player who will thrive in a dynamic ...

Finance Data Engineer

Austin, TX · On-site

$113K - $136K/yr

The Finance Data Engineer is a technical expert who creates data interfaces, pipelines and codebase ... plus

... a plus) • Strong analytical and quantitative problem-solving abilities • Excellent ... data streams and business context a plus • Flexible team player who will thrive in a dynamic ...

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Bachelor's degree, advance degree a plus. * 5+ years of hands-on experience in data engineering within complex organizations. * Experience in Real Estate and Property Management industry is a plus.

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Bachelor's degree, advance degree a plus. * 5+ years of hands-on experience in data engineering within complex organizations. * Experience in Real Estate and Property Management industry is a plus.

Data Engineer

Houston, TX · On-site +1

$109K - $131K/yr

Bachelor's degree, advance degree a plus. * 5+ years of hands-on experience in data engineering within complex organizations. * Experience in Real Estate and Property Management industry is a plus.

Showing results 41-60

Data Plus information

See Texas salary details

$8

$25

$64

How much do data plus jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for data plus in Texas is $25.76, according to ZipRecruiter salary data. Most workers in this role earn between $13.53 and $31.29 per hour, depending on experience, location, and employer.

What is a Data Plus?

A Data Plus job typically involves working with data analytics, processing, and management to support business decision-making. Professionals in this role may clean, analyze, and visualize data to extract insights. Depending on the organization, a Data Plus job could include database management, report generation, and the use of data tools like SQL, Python, or Excel. The role often requires problem-solving skills and attention to detail.

What are the key skills and qualifications needed to thrive in a Data Plus?

To excel as a Data Plus professional, you should have strong analytical skills, knowledge of data management principles, and a relevant degree in computer science, statistics, or a related field. Proficiency with data analytics tools (such as SQL, Python, R) and familiarity with data visualization platforms like Tableau or Power BI are often required. Effective communication, critical thinking, and attention to detail are essential soft skills for this role. These competencies enable accurate data analysis, clear insights for decision makers, and seamless collaboration with cross-functional teams.

What are the typical daily responsibilities for a Data Plus?

In a Data Plus position, your typical day may involve collecting and cleaning large datasets, conducting statistical analyses, and generating actionable insights to support business objectives. You'll likely collaborate closely with other data professionals, product managers, and stakeholders to define data requirements and deliver reports or dashboards. Additional tasks may include automating processes, ensuring data integrity, and contributing to project meetings. This dynamic role provides you with the opportunity to influence key decisions through data-driven recommendations.

What cities in Texas are hiring for Data Plus jobs? Cities in Texas with the most Data Plus job openings:
Infographic showing various Data Plus job openings in Texas as of August 2026, with employment types broken down into 74% Full Time, 13% Part Time, and 13% Temporary. Highlights an 87% In-person, and 13% Hybrid job distribution, with an average salary of $53,584 per year, or $25.8 per hour.

Data Architect / Data Modeler

Ascentt

Plano, TX • On-site

Full-time

Re-posted 17 days ago


Job description

Job Summary:
Ascentt is building cutting-edge data analytics & AI/ML solutions for global manufacturing leaders. The company is seeking an experienced Data Architect to focus on enterprise data modeling and modern data platform architecture, translating business requirements into reusable data structures and partnering with various teams to create a strong data foundation.
Responsibilities:
• Design and maintain conceptual, logical, physical, and semantic data models to support reporting, analytics, operational, and advanced data use cases.
• Define scalable data modeling patterns including dimensional models, star schemas, snowflake schemas, canonical models, entity relationship models, data vault concepts, and curated consumption-layer models.
• Develop semantic models that establish consistent business definitions, KPIs, metrics, hierarchies, dimensions, and calculation logic across analytics and BI platforms.
• Work with business stakeholders to understand processes, define business terms, identify key data domains, and convert requirements into clear and governed data models.
• Partner with data engineering teams to ensure data models are accurately implemented across data pipelines, warehouses, lakehouses, and semantic layers.
• Establish standards for naming conventions, keys, relationships, metadata, data lineage, data quality rules, and modeling documentation.
• Support modern data platform architecture across technologies such as Databricks, Snowflake, Azure Synapse, Microsoft Fabric, AWS Redshift, Google BigQuery, Delta Lake, or similar platforms.
• Design models across raw, curated, and consumption layers, including bronze/silver/gold or equivalent lakehouse patterns.
• Review and optimize existing models for performance, scalability, usability, consistency, and maintainability.
• Support data product design by defining domain-aligned entities, data contracts, reusable metrics, and governed consumption models.
Qualifications:
Required:
• Minimum 10 years of experience in data architecture, data modeling, data warehousing, business intelligence, enterprise analytics, or related areas.
• Strong hands-on experience in conceptual, logical, physical, and semantic data modeling.
• Deep understanding of dimensional modeling concepts including facts, dimensions, grain, slowly changing dimensions, conformed dimensions, hierarchies, and metric design.
• Experience designing semantic layers or business consumption layers for enterprise reporting and self-service analytics.
• Strong SQL skills with the ability to validate models against source data, business rules, and reporting requirements.
• Experience with modern cloud data platforms such as Databricks, Snowflake, Azure, AWS, GCP, Microsoft Fabric, or similar.
• Experience with BI and analytics tools such as Power BI, Tableau, Looker, Qlik, or similar.
• Strong understanding of metadata management, data lineage, governance, data quality, master data, and reference data concepts.
• Ability to engage with business stakeholders, data engineers, BI developers, product owners, and governance teams.
• Strong documentation, communication, problem-solving, and architecture leadership skills.
Preferred:
• Experience with semantic modeling tools or frameworks such as Power BI semantic models, AtScale, Looker, dbt Semantic Layer, Tableau semantic layer, or similar.
• Experience with governance and catalog tools such as Collibra, Alation, Informatica, Microsoft Purview, Unity Catalog, or similar.
• Experience with data mesh, data products, domain-driven architecture, and enterprise metric stores.
• Exposure to graph modeling, business ontology, metadata-driven architecture, or knowledge graph concepts is a plus.
• Experience supporting AI/ML or GenAI use cases through well-governed and analytics-ready data models is preferred.
• Industry experience in healthcare, manufacturing, financial services, retail, supply chain, automotive, or logistics is a plus.
Company:
Ascentt is an AI, ML and Data Science solutions provider serving enterprise customers. Founded in 2007, the company is headquartered in Plano, USA, with a team of 201-500 employees. The company is currently Growth Stage.