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Tech Data Jobs in Houston, TX (NOW HIRING)

Andor Tech Inc.

Senior Data Tech Lead

Houston, TX · On-site

As a Data Tech Lead, you will provide end-to-end leadership across architecture, engineering, governance, and capability development. You will: * Deliver sustainable and innovative solutions to ...

Quanex

Senior Data Engineer

Houston, TX · On-site

$101K - $137K/yr

Required : • 5+ years of experience in data engineering or related roles. • Bachelor's degree in computer science, Information Technology, Data Science, Engineering, or a related technical field ...

Quanex

Senior Data Engineer

Houston, TX

$101K - $137K/yr

Bachelor's degree in computer science, Information Technology, Data Science, Engineering, or a related technical field required. * Advanced SQL expertise (complex joins, window functions, query ...

Quanex Building Products

Senior Data Engineer

Houston, TX

$101K - $137K/yr

Bachelor's degree in computer science, Information Technology, Data Science, Engineering, or a related technical field required. * Advanced SQL expertise (complex joins, window functions, query ...

Deloitte

Senior Data Engineer

Houston, TX · Hybrid

$101K - $137K/yr

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Senior Data Engineer you will have the ability to share new ideas and ...

Quanex

Senior Data Engineer

Houston, TX · On-site

$101K - $137K/yr

Bachelor's degree in computer science, Information Technology, Data Science, Engineering, or a related technical field required. * Advanced SQL expertise (complex joins, window functions, query ...

Quanex

Senior Data Engineer

Houston, TX

$101K - $137K/yr

Bachelor's degree in computer science, Information Technology, Data Science, Engineering, or a related technical field required. * Advanced SQL expertise (complex joins, window functions, query ...

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Showing results 21-40

All JobsTech Data JobsTech Data Jobs in Houston, TX

Tech Data information

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How much do tech data jobs pay per hour?

As of Aug 9, 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 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 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 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 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 does Tech Data do?

Tech Data is a distributor of technology products, providing hardware, software, and services to resellers and retailers. Employees in related roles often handle logistics, sales, and technical support, requiring knowledge of IT products and supply chain processes.
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, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $45,373 per year, or $21.8 per hour.

Senior Data Tech Lead

Andor Tech Inc.

Houston, TX • On-site

Other

Posted 12 days ago

Job description

< class="blue">JOB DESCRIPTION

As a Data Tech Lead, you will provide end-to-end leadership across architecture, engineering, governance, and capability development.

You will:

  • Deliver sustainable and innovative solutions to unlock value from data.
  • Lead the architecture, Design and implementation of on-premises/cloud-based application development and Data solutions.
  • Engage cross-functional teams to support project stakeholders in delivering data scope and operational excellence.
  • Drive governance, metadata management, Data Modelling, cost optimization, high-volume performance tuning and agility in delivery.
  • Engage effectively with senior leadership, resolve conflicts proactively, and represent the data organization with confidence and clarity.

Key Responsibilities

Leadership & Strategy

  • Drive the architecture, design, and delivery of Data ecosystems for futuristic data platform.
  • Define data product roadmaps and drive development of data solution using approved tech stack and related technologies.
  • Align data engineering initiatives with long-term business and technology strategies.
  • Provide technical leadership to ensure adherence to best practices, standards, and quality expectations.

Technical Oversight

  • Lead data modelling and architecture using tools such as SAP PowerDesigner and WizDesign.
  • Develop and optimize intelligent, AI‑augmented data pipelines across ADF, ADLS, Databricks, DLT, and Structured Streaming to enable high‑performance data delivery.
  • OLTP schema design, normalization, indexing strategy, Performance tuning for transactional systems
  • Transaction management, concurrency, deadlocks
  • PostgreSQL, MySQL, SQL Server expertise (depending on Shell standards)
  • Optimize Databricks workloads with a strong focus on performance and cost efficiency.
  • Implement robust security, governance, lineage, and metadata controls using Unity Catalog.
  • Troubleshoot pipeline issues, ensure high data quality, and enforce SLA compliance.

Governance & Quality Assurance

  • Establish data governance frameworks covering security, privacy, quality, and lifecycle management.
  • Monitor pipeline performance and lead root cause analysis for data and process issues.
  • Drive CI/CD and touchless change management frameworks to enable seamless deployments.

4. Stakeholder Management

  • Collaborate closely with PMs, BAs, Data Scientists, Architects, and business stakeholders.
  • Translate complex technical concepts into business terms for executive audiences.
  • Resolve conflicts and ensure alignment across strategic priorities.
  • Stakeholder management & executive communication

Required Skills & Experience

Technical Expertise

  • 12–17 years of experience in data engineering, data architecture, or analytics platforms.
  • Deep expertise in:
    • Azure Data Engineering (ADF, ADLS, Databricks, , DLT), AZURE Function, SQL, REST/FAST API, LogicApps
    • Databricks Delta Live Tables & Structured Streaming
    • Unity Catalog governance and lineage
  • Strong hands-on skills in SQL, Python, Spark/Scala.
  • Strong experience in data modeling, data architecture, and metadata management.
  • CI/CD for application delivery (Azure DevOps/GitHub Actions)
  • Containerization (Docker), Kubernetes basics
  • API gateway, reverse proxies, load balancing
  • Solution Data Architecture,  Data Modeling tools like SAP PowerDesigner, BiZ Design

AI & Future-Ready Skills

  • Working knowledge of AI/ML, GenAI, Agentic AI, and applying AI for data engineering automation.
  • Ability to envision and build future-ready, scalable data ecosystems.

Soft Skills / Leadership Competencies

  • Proven ability to lead mid-sized to large technical teams.
  • Strong decision-making capabilities backed by data.
  • Exceptional communication and executive presentation skills.
  • Conflict management and stakeholder alignment experience.
  • High accountability, ownership, and ability to drive independent outcomes.
  • Adaptability and continuous learning mindset.

Nice to Have

  • Experience with Kafka, Hadoop, Spark Streaming.
  • Experience with workflow tools like Airflow, Azkaban, Luigi.
  • Knowledge of PowerBI/QlikSense visualizations.
  • Certifications in Azure Data Engineer, Databricks, AI/ML, or Data Science.
  • Experience with GitHub/Azure DevOps, CI/CD, Agile/Kanban methodologies.
  • Understanding of Freight Domain like Voyage Management, Chartering, Freight Pricing, Demurrage, Laytime, Port calls, Vessel scheduling
  • Integration with RightAngle, Endur, Veson IMOS or internal Shell Freight systems
  • Knowledge of T&S business processes

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