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Tech Data Jobs in Round Rock, TX (NOW HIRING)

Technology Resource Group, LLC

IT Data Scientist

Austin, TX · On-site

$100 - $130/hr

Added - 2 days ago IT Data Analyst 5 Information Technology Austin , Texas | Contract Or Related Information Technology Jobs Data Center Critical Facilities Engineer Liberty , NC Knowledge Management ...

TRG

IT Data Analyst

Austin, TX · On-site

Data analytics - able to build something out of messy data at least 8-10 years of experience * Experience with database technologies * Knowledge of the ETL process * Knowledge of at least one ...

CAPPS

DPS - IT - Data Analyst - 0654

Austin, TX · On-site

$8.5K/mo

... data pipelines, dashboards, and statistical models to support operational and strategic decisionmaking. 9. Leads initiatives to evaluate emerging analytics technologies, tools, and best practices ...

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Data and Technology Coordinator

Cedar Park, TX · On-site

$55K - $65K/yr

The Data & Technology Coordinator supports the company's technology, data, automation, and digital initiatives with a focus on improving efficiency and helping the organization scale. This role works ...

Jobtailor

Data Engineer

Austin, TX · On-site

$90 - $130/hr

About the role Teza Technologies is looking for Data Engineers to join our data team. Data drives systematic trading and is critical to all aspects of the firm's business. This is a hands‑on ...

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Tech Data information

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How much do tech data jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for tech data in Round Rock, TX is $21.30, according to ZipRecruiter salary data. Most workers in this role earn between $15.67 and $25.34 per hour, depending on experience, location, and employer.

What is a Tech Data specialist?

A Tech Data specialist is a professional who manages, analyzes, and interprets technical data to support business operations, decision-making, and IT systems. Their responsibilities often include data collection, data quality assurance, reporting, and collaborating with other departments to ensure accurate and secure data handling. Tech Data specialists may also work with databases, data warehouses, and analytics tools to extract insights and improve organizational efficiency. This role is vital in industries that rely on large volumes of technical or operational data.

What are the key skills and qualifications needed to thrive as a Tech Data analyst?

To thrive as a Tech Data Analyst, you need strong analytical skills, proficiency in data interpretation, and a background in statistics or computer science, often supported by a relevant degree. Familiarity with tools like SQL, Python, Excel, and data visualization platforms such as Tableau or Power BI, along with certifications in data analytics, is commonly required. Exceptional attention to detail, problem-solving ability, and effective communication are standout soft skills for this role. These skills and qualities are critical for transforming complex data into actionable insights that drive business decisions.

What are some common challenges faced by Tech Data professionals, and how can they be addressed?

Tech Data professionals often encounter challenges related to managing large volumes of complex data from diverse sources, ensuring data accuracy, and maintaining data security. To address these, it's important to implement robust data management tools, establish clear data governance protocols, and collaborate closely with IT and business teams. Continuous learning and staying updated on emerging technologies can also help professionals stay ahead of industry demands and overcome technical hurdles.

What is the difference between Tech Data vs Network Technician?

AspectTech DataNetwork Technician
Required CredentialsTypically requires a degree in IT, computer science, or related certifications like CompTIA A+ or Network+Often requires similar certifications, with emphasis on networking certifications like Cisco CCNA or CompTIA Network+
Work EnvironmentPrimarily in data centers, warehouses, or office settings managing hardware and software assetsPrimarily in office or on-site locations troubleshooting, installing, and maintaining network infrastructure
Employer & Industry UsageUsed by hardware suppliers, data centers, and IT service providersCommon in corporate IT departments, telecom companies, and managed service providers

Both roles require technical certifications and involve working with hardware and networks. Tech Data professionals focus on managing data assets and hardware logistics, while Network Technicians specialize in maintaining and troubleshooting network systems. The roles often overlap but differ mainly in scope and daily tasks.

What does tech data do?

A tech data professional typically manages and analyzes technology-related information, such as hardware, software, and network data, to support business operations. They often work with data management tools, databases, and may require knowledge of data analysis or IT systems to ensure accurate and efficient data handling.

What cities near Round Rock, TX are hiring for Tech Data jobs?

Cities near Round Rock, TX with the most Tech Data job openings:

Tech Data jobs near you
Infographic showing various Tech Data job openings in Round Rock, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $44,307 per year, or $21.3 per hour.

IT Data Scientist

Technology Resource Group, LLC

Austin, TX • On-site

$100 - $130/hr

Other

Posted 5 days ago

Job description

Added - 2 days ago IT Data Analyst 5 Information Technology Austin , Texas | Contract Or

Related Information Technology Jobs

Data Center Critical Facilities Engineer Liberty , NC Knowledge Management Specialist Plano , Texas Global IT Director Ridgetown , Ontario IT Systems Technician - Manufacturing Holland , Michigan View all jobs in this category

The Data Scientist applies statistics, machine learning, optimization, and programming to manufacturing data to improve safety, quality, throughput, cost, equipment reliability, and decision-making across plants. The role partners closely with Manufacturing IT, plant operations, engineering, quality, maintenance, and data engineering teams.

RESPONSIBILITIES
  • Translate plant and business problems into measurable analytical questions and use cases.
  • Identify, access, and assess data from MES, quality systems, equipment historians, maintenance systems, production systems, and other manufacturing sources.
  • Build reliable analytical datasets and pipelines using SQL, Python, Spark, and Databricks.
  • Perform exploratory analysis, statistical studies, root-cause analysis, forecasting, optimization, and experimentation.
  • Develop, validate, document, and monitor predictive or prescriptive models for use cases such as downtime, scrap, defects, bottlenecks, anomaly detection, yield, and preventive maintenance.
  • Evaluate data quality, lineage, coverage, missingness, bias, and operational readiness before modeling.
  • Convert findings into practical recommendations that plant personnel and leaders can use in daily decisions.
  • Create dashboards, visualizations, reports, and user interfaces that clearly communicate trends, risks, and opportunities.
  • Productionize analytics and models in partnership with data engineering, application, and Manufacturing IT teams.
  • Monitor model performance, data drift, pipeline health, and business impact after deployment.
  • Support manufacturing modernization initiatives, including cloud migration, data-product development, automation, and legacy-system retirement.
REQUIREMENTS
  • Bachelors Degree in a technical field such as computer science, computer engineering or related field required
  • 8-10 years applicable experience required
  • Data modeling at least 8-10 years of experience
  • Data pipeline at least 8-10 years of experience
  • Data analytics – able to build something out of messy data at least 8-10 years of experience
  • Experience with database technologies
  • Knowledge of the ETL process
  • Knowledge of at least one scripting language
  • Strong written and oral communication skills
  • Strong troubleshooting and problem solving skills
  • Demonstrated history of success
  • Desire to be working with data and helping businesses make better data driven decisions

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