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Tech Data Jobs in Houston, TX (NOW HIRING)

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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 Houston, TX is $21.81, according to ZipRecruiter salary data. Most workers in this role earn between $16.06 and $25.96 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 Houston, TX are hiring for Tech Data jobs?

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

Tech Data jobs near you
Infographic showing various Tech Data job openings in Houston, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 2% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $45,373 per year, or $21.8 per hour.

Data Engineer - Data Science & Technology

Castleton Commodities International, LLC

Houston, TX • On-site

$109K - $131K/yr

Full-time

Medical, Dental, Life, Retirement, PTO

Re-posted 6 days ago

Job description

At Castleton Commodities International (CCI), we are redefining how data and technology shape the future of energy trading. Our Data Science & Technology team is at the forefront of this transformation, developing systems and innovative tools that empower our front-office teams to better understand market dynamics, forecast prices, and manage risk.
Our commitment to excellence is reflected in a robust, modern, open-source technology stack, empowering us to solve complex, high-impact challenges at scale. From cloud-native infrastructure to machine learning platforms, real-time analytics, and proprietary libraries and APIs, we are passionate about using technology to drive innovation and create a competitive edge in global energy commodity trading and investing. Candidates will gain direct exposure to our commercial investment teams, offering a unique opportunity to see how cutting-edge technology drives strategy and performance in energy markets.
Our Data Engineering team is integral to our mission, ensuring the seamless ingestion and management of data across our platforms. The Data Engineer will play an integral role as the team implements new data management platforms, creates new data ingestion pipelines, and sources new data sets. The role will assist with all aspects of data - from data architecture design to on-going data management and will have significant exposure to our Commercial investing teams globally. This position will play an integral role as the firm continues to expand its use of data for advanced analytics and other commercial purposes.
Responsibilities
  • Execute data architecture and data management projects for both new and existing data sources.
  • Help transition existing data sets, databases, and code to a new technology stack.
  • Manage end to end data ingestion process and publishing to investing teams.
  • Own the process of mapping, standardizing, and normalizing data.
  • Ad hoc research on project topics such as vendor trends, usage best practices, big data trends, artificial intelligence, vendors, etc.
  • Help transition existing data sets, databases, and code to a new technology stack.
  • Assess data loads for tactical errors and build out appropriate workflows, as well as create data quality analysis that identifies larger issues in data.
  • Actively manage vendors and capture changes in data input proactively.
  • Properly prioritize and resolve data issues based on business usage.
  • Assist with managing strategic initiatives around big data projects for the commercial (trading) business.
  • Partner with commercial teams to gain understanding of current data flow, data architecture, investment process as well as gather functional requirements.
  • Assess gaps in current datasets and remediate.

Qualifications:
  • Bachelor's degree in Computer Science, Mathematics, Physics, Business Intelligence, or related field of study.
  • 3+ years of Data Engineering experience specializing in SQL programming, data architecture, and dimension modeling.
  • Experience in energy commodities or financial services is nice to have but not required.
  • Experience in mapping, standardizing, and normalizing data.
  • Experience with ETL/ELT frameworks to write pipelines to load millions/billions of records.
  • Advanced skills in writing highly optimized SQL code.
  • Experience with relational databases; Snowflake highly preferred.
  • Hands-on experience developing data solutions in Python, Pandas, Numpy, etc.
  • Ability to communicate and interact with a wide range of data users - from very technical to non-technical.
  • Team player who is execution focused, with the ability to handle a rapidly changing set of projects. and priorities, while maintaining strong professional presence.
  • Ability to work effectively in a fast-paced, dynamic and high-intensity environment including an open-floor plan, with timely responsiveness and the ability to work beyond normal business hours when required.

Employee Programs & Benefits:
CCI offers competitive benefits and programs to support our employees, their families and local communities. These include:
  • Competitive comprehensive medical, dental, retirement and life insurance benefits
  • Employee assistance & wellness programs
  • Parental and family leave policies
  • CCI in the Community: Each office has a Charity Committee and as a part of this program employees are allocated 2 days annually to volunteer at the selected charities.
  • Charitable contribution match program
  • Tuition assistance & reimbursement
  • Quarterly Innovation & Collaboration Awards
  • Employee discount program, including access to fitness facilities
  • Competitive paid time off
  • Continued learning opportunities

Visit https://www.cci.com/careers/life-at-cci/# to learn more!
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