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Data Engineer Jobs in Bryan, TX (NOW HIRING)

Axis Pipe and Tube

Mechanical Engineer

Bryan, TX · On-site

$70 - $90/hr

Mechanical Engineer Full Time Technical Bryan, TX, US 2 days ago Requisition ID: 1154 Job Summary ... data for the development of improved operation controls and equipment. * Monitors hydraulic ...

Varsity Tutors

Data Science Tutor

College Station, TX · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Data Science Tutor

Bryan, TX · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Tamus

Network Engineer III

Bryan, TX · On-site

$5.1K - $7.5K/mo

Job Title Network Engineer III Agency Texas A&M University System Offices Department Director ... Incomplete job application data could result in your application being rejected without an option ...

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All JobsData Engineer JobsData Engineer Jobs in Bryan, TX

Data Engineer information

See Bryan, TX salary details

$41K

$119.6K

$163.7K

How much do data engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data engineer in Bryan, TX is $119,609.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,600.00 and $126,800.00 per year, depending on experience, location, and employer.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

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

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.
More about Data Engineer jobs

What are the most commonly searched types of Data Engineer jobs in Bryan, TX?

The most popular types of Data Engineer jobs in Bryan, TX are:

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For Data Engineer jobs in Bryan, TX, the most frequently searched job titles are:

What job categories do people searching Data Engineer jobs in Bryan, TX look for?

The top searched job categories for Data Engineer jobs in Bryan, TX are:

What cities near Bryan, TX are hiring for Data Engineer jobs?

Cities near Bryan, TX with the most Data Engineer job openings:

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Bryan, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $119,609 per year, or $57.5 per hour.

Validation (CQV) Engineer

BioPharma Consulting JAD Group

College Station, TX • On-site

Full-time

Life

Re-posted yesterday

Job description

The Validation Engineer is responsible for providing scientific and technical support for product launches, technology transfers, and new technology introductions at the FDBT site. This role executes key validation lifecycle activities—including Cycle Development (CD), Commissioning & Qualification (CQ), Performance Qualification (PQ), and Periodic Reviews (PR)—while collaborating closely with cross‑functional teams across the site and occasionally with network partners. Emphasis is placed on right‑first‑time execution, compliance, and continuous improvement.

Key Requirements

  • On‑site role; remote work is not permitted.
  • Experience creating full validation lifecycle documentation:
    • URS, FRS, DS, engineering specifications
    • Validation protocols (VPP, IQ, OQ, PQ)
    • System Impact Assessments, Requirements Traceability Matrix, Final Reports
  • Strong understanding of validation processes and regulatory requirements.
  • Ability to independently troubleshoot, resolve, and communicate technical issues.
  • Proven experience leading cross‑functional teams and coordinating complex projects.
  • Ability to develop and manage detailed project plans and timelines for IQ/OQ/PQ/RQP execution.
  • Working knowledge of Computerized Systems Validation (CSV).
  • Support implementation of new process technologies aligned with business and regulatory needs.
  • Ownership of vendor‑performed validation activities, including:
    • Review and approval of vendor protocols
    • Issue resolution
    • Validation deviation reporting
    • Summary report generation
  • Coordinate and execute tactical validation activities:
    • Sample collection
    • Data retrieval
    • Documentation completion per protocol requirements
  • Excellent technical writing skills for SOP creation and updates.
  • Proficiency in Microsoft Word, Excel, and PowerPoint.
  • Ability to work independently, multitask, and support multiple projects simultaneously.
  • Provide guidance and support to junior team members.
  • Must be available to work as needed, including holidays and weekends.

Areas of Expertise

  • Kneat electronic validation documentation
  • Data loggers (pre/post calibration procedures)
  • Temperature mapping: cold rooms, freezers, refrigerators, incubators
  • Laboratory equipment (e.g., Mass Photometer)
  • Autoclaves & cycle development
  • EMPQs
  • Biowelders
  • Culture chemistry analyzers
  • Smoke studies
  • Fillers
  • VHP decontamination & cycle development
  • Bioquell Qube
  • Mixers, tanks, VCells
  • AKTA systems
  • Filter integrity testers
  • Pumps
  • Centrifuges
  • Downflow hoods
  • Weight scales
  • SME Water Systems (WFI, RODI)
  • Clean gas utilities
  • Facilities systems

Requirements

Education Requirements

  • Bachelor’s degree in Engineering or Science (minimum).
  • 7+ years of validation experience in the life sciences industry.

Benefits

  • Administrative shift
  • 1-year contract with possible extension