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Graduate Data Engineer Jobs in Texas (NOW HIRING)

MAQ Software

Software Data Operations Engineer

Plano, TX · On-site

$110K - $132K/yr

They are seeking a Software Data Operations Engineer to analyze existing systems, develop ... Qualifications : Required : • Undergraduate or graduate degree in Computer Science • ...

City of Bryan, TX

Graduate Civil Engineer

Bryan, TX · On-site

$65K - $80K/yr

Position Details Position Information Posting Number 2025459 Position Title Graduate Civil Engineer ... Occasional outdoor fieldwork (around creeks, drainage ways, etc.) is required to gather data and ...

Intelliswift - An LTTS Company

Data Scientist

Plano, TX · On-site

$75 - $80/hr

Background & Competencies Required: • Graduate Degree in Computer Science, Statistics, Data Science or a related Data Engineering with 7+ years of professional experience is preferred. • ...

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Graduate Data Engineer information

See Texas salary details

$41.5K

$120.9K

$165.4K

How much do graduate data engineer jobs pay per year?

As of Jul 24, 2026, the average yearly pay for graduate data engineer in Texas is $120,851.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,700.00 and $128,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Graduate Data Engineer position, and why are they important?

A Graduate Data Engineer typically requires a bachelor's degree in computer science, engineering, mathematics, or a related field, along with foundational knowledge of programming, data structures, and database concepts. Familiarity with technologies such as SQL, Python, cloud platforms (e.g., AWS, Azure), and modern data engineering tools like Apache Spark or Hadoop is often expected, and introductory certifications can provide an added advantage. Strong analytical thinking, problem-solving ability, effective communication, and eagerness to learn are valuable soft skills in this role. These skills and qualities are crucial for efficiently building, maintaining, and optimizing data pipelines that support business decision-making.

What are the typical daily tasks and responsibilities of a Graduate Data Engineer?

As a Graduate Data Engineer, your daily tasks may include building and maintaining data pipelines, assisting with data cleansing and transformation, and collaborating with data scientists and other engineers to deliver reliable datasets. You'll often work with structured and unstructured data, write scripts to automate data workflows, and help troubleshoot data integration issues as they arise. Throughout your work, you'll be expected to document processes and learn new tools or technologies as the team evolves. This role provides an excellent opportunity to develop hands-on technical skills while working closely with experienced professionals in a collaborative setting.

What is a Graduate Data Engineer job?

A Graduate Data Engineer is an entry-level role focused on designing, building, and maintaining data pipelines and infrastructure. They work with large datasets, ensuring data is collected, processed, and stored efficiently for analysis. Typically, they collaborate with data scientists, analysts, and other engineers to support data-driven decision-making. This role often involves using programming languages like Python or SQL, cloud platforms, and big data technologies. Graduate Data Engineers gain hands-on experience in data engineering principles and tools, helping organizations manage and optimize their data workflows.

What are popular job titles related to Graduate Data Engineer jobs in Texas? For Graduate Data Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Graduate Data Engineer jobs in Texas look for? The top searched job categories for Graduate Data Engineer jobs in Texas are:
What cities in Texas are hiring for Graduate Data Engineer jobs? Cities in Texas with the most Graduate Data Engineer job openings:
Graduate Data Engineer jobs near you
Infographic showing various Graduate Data Engineer job openings in Texas as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $120,851 per year, or $58.1 per hour.
Software Data Operations Engineer

Software Data Operations Engineer

MAQ Software

Plano, TX • On-site

$110K - $132K/yr

Full-time

Posted 11 days ago

Job description

Job Summary:
MAQ Software is a company that enables leading organizations to enhance their business intelligence and analytics initiatives. They are seeking a Software Data Operations Engineer to analyze existing systems, develop specifications, and verify implementation for cloud-based solutions.
Responsibilities:
• Collect requirement specifications to analyze business processes and determine the exact nature of user’s system requirements. Use tools like Microsoft 365 Copilot to summarize stakeholder input and map process flow from documents, emails, and meetings. Collaborate with module leaders and core team members to decide on system architecture.
• Analyze existing system structures to identify opportunities for migration to cloud-based platforms. Use GitHub Copilot to assist in refactoring legacy code and Microsoft Azure AI services to evaluate cloud readiness and performance benchmarks.
• Analyze user requirements and align them with available enterprise data sources to design solutions that deliver reliable performance and reasonable cost. Use tools such as GitHub Copilot to assist with query optimization and Azure DevOps MCP Server to validate data lineage and dependencies within project repositories.
• Design processing steps and recommend system solutions based on user requirements, ensuring clarity and scalability.
• Prepare software specifications, flow charts, and process diagrams for software programmers to follow. Use GitHub Copilot to generate code templates and automate systems documentation such as design specifications, user manuals, technical manuals, descriptions of application operations, and methodology documentation.
• Analyze feasibility using commercially available software systems (e.g., Microsoft Azure versus Amazon Web Services) and reporting systems (e.g., Power BI versus Tableau).
• Collaborate with systems analysts and programmers to develop data migration tools and define operational workflows for new systems.
• Work with software developers to use GitHub Copilot for accelerating code development.
• Set up the test environment, use GitHub Copilot to generate test cases, and use Playwright MCP to automate testing and compare data from multiple sources to verify reports for end users.
• Participate in technical collaboration meetings and periodical reviews of implementation status.
• Report weekly task plan to the project management team for implementation of custom software.
• Participate in technical training and complete relevant industry courses and certifications.
Qualifications:
Required:
• Undergraduate or graduate degree in Computer Science
• Undergraduate or graduate degree in Information Systems
• Undergraduate or graduate degree in Applied Computational Math Sciences
• Undergraduate or graduate degree in related engineering discipline
Company:
2021 Microsoft Power BI Partner of the Year | Global 2000 companies partner with us to accelerate BI & analytics initiatives Founded in 2000, the company is headquartered in Redmond, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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