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Data Engineer Project Jobs in Texas (NOW HIRING)

Associate Data Engineer

Frisco, TX · On-site

$107K - $129K/yr

... project work. • Must be located in the United States. • 1+ years of hands-on data engineering or software engineering experience, including internships and academic project work that demonstrate ...

Data Engineer

Plano, TX · On-site

$109K - $131K/yr

Apply automation and innovation on new and on-going data platforms for those development projects ... Skilled in Python object-oriented programming * Skilled in AWS Compute such as EC2, Lambda ...

Data Engineer

Richardson, TX

$103K - $124K/yr

Project Comet guidance requires legally approved agendas for certain new cross-company meetings ... Some experience in data science, machine learning, analytics engineering, or data platform ...

This is a senior-level position that requires exceptional technical expertise, strong leadership capabilities, and a proven track record of successfully delivering complex data engineering projects.

This is a senior-level position that requires exceptional technical expertise, strong leadership capabilities, and a proven track record of successfully delivering complex data engineering projects.

This is a senior-level position that requires exceptional technical expertise, strong leadership capabilities, and a proven track record of successfully delivering complex data engineering projects.

This is a senior-level position that requires exceptional technical expertise, strong leadership capabilities, and a proven track record of successfully delivering complex data engineering projects.

This is a senior-level position that requires exceptional technical expertise, strong leadership capabilities, and a proven track record of successfully delivering complex data engineering projects.

Associate Data Engineer

Frisco, TX · On-site

$107K - $129K/yr

... project work. • Must be located in the United States. • 1+ years of hands-on data engineering or software engineering experience, including internships and academic project work that demonstrate ...

This is a senior-level position that requires exceptional technical expertise, strong leadership capabilities, and a proven track record of successfully delivering complex data engineering projects.

Data engineer

Dallas, TX · On-site

$113K - $136K/yr

Experience managing projects using Agile tools such as Rally or Azure DevOps (ADO). Experience with IT asset management tools (e.g., Tanium, Flexera, ServiceNow) is highly desirable. Provide data ...

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... Our range of expertise, project types, and culture make us the choice for top talent in the AEC ...

Data Engineer II

Austin, TX · On-site

$113K - $136K/yr

This role expands upon the Data Engineer I position by handling more complex data projects and working with greater independence. A Data Engineer II ensures data is accurate, secure, and compliant ...

Sr. Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

... project managers, IT architects, technical leads, and other developers, along with internal customers and cross functional teams to implement data strategy · Design and build data engineering ...

Sr. Data Engineer

Dallas, TX · On-site

$105K - $126K/yr

NTTDATA/National Life Group Position: Sr. Data Engineer Location: Dallas, TX (100% onsite ... ensure project goals are met. • Excellent leadership and communication skills Basic ...

Data Engineer II

Austin, TX · On-site

$113K - $136K/yr

This role expands upon the Data Engineer I position by handling more complex data projects and working with greater independence. A Data Engineer II ensures data is accurate, secure, and compliant ...

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... Our range of expertise, project types, and culture make us the choice for top talent in the AEC ...

(Data Engineer)

Dallas, TX · On-site

$35/hr

Experience managing projects using Agile tools such as Rally or Azure DevOps (ADO). Experience with IT asset management tools (e.g., Tanium, Flexera, ServiceNow) is highly desirable. Provide data ...

Principal Data Engineer

Houston, TX · On-site

$106K - $127K/yr

Leads one or more data projects and support with internal and external resources. Coach and mentor junior data engineers. * Stay abreast of emerging technologies and methodologies in data engineering ...

Data Systems Engineer

Austin, TX · On-site

$115K - $138K/yr

Serve as a subject matter expert (SME) during project planning in collaboration with the Project ... Azure Data Engineer Associate (DP-203) (Within 6 Months) Employment Type: FULL_TIME

Showing results 41-60

Data Engineer Project information

What is a data engineer project?

A Data Engineer Project refers to a specific initiative or assignment undertaken by data engineers to design, build, and maintain systems that gather, process, and store large volumes of data. These projects often involve creating data pipelines, integrating multiple data sources, ensuring data quality, and optimizing storage solutions for analytics or business intelligence. Such projects are critical for organizations to manage their data efficiently and enable data-driven decision-making. Data Engineer Projects can range from building a data warehouse to implementing real-time data streaming solutions.

What are some common challenges faced by data engineers working on project-based teams?

Data Engineers on project-based teams often encounter challenges such as integrating data from disparate sources, ensuring data quality and consistency, and meeting tight project deadlines. Collaboration with data scientists, analysts, and software engineers is crucial, requiring clear communication to translate business needs into robust data pipelines. Additionally, adapting to evolving technologies and toolsets is essential for the successful delivery of scalable and maintainable solutions.

What is the difference between Data Engineer Project vs Data Engineer?

AspectData Engineer ProjectData Engineer
CredentialsTypically requires a degree in Computer Science, Data Science, or related fields; certifications like AWS, Google Cloud, or Azure are commonSimilar credentials; often holds certifications in cloud platforms and data tools
Work EnvironmentProject-based, often temporary teams working on specific data solutionsFull-time role within organizations, maintaining ongoing data pipelines and infrastructure
Industry UsageUsed across industries for specific data initiativesCore role in data-driven companies and departments
Search & Comparison IntentOften searched for project-based roles or freelance opportunitiesMore common in job searches for permanent positions

In summary, Data Engineer Projects focus on temporary, goal-specific data tasks, while Data Engineers hold ongoing roles responsible for maintaining data infrastructure. Both roles require similar skills and certifications but differ mainly in scope and employment type.

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 strong proficiency in programming (Python, Java, or Scala), data modeling, and database management, often supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), ETL systems, cloud platforms (AWS, Azure, GCP), and relevant certifications is highly beneficial. Analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with data teams and stakeholders. These competencies are essential for building reliable data pipelines and ensuring data availability and quality to drive business insights.
What job categories do people searching Data Engineer Project jobs in Texas look for? The top searched job categories for Data Engineer Project jobs in Texas are:
What cities in Texas are hiring for Data Engineer Project jobs? Cities in Texas with the most Data Engineer Project job openings:
Infographic showing various Data Engineer Project job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Associate Data Engineer

UST

Frisco, TX • On-site

$107K - $129K/yr

Full-time

Re-posted 15 days ago


UST rating

8.8

Company rating: 8.8 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

39th of 485 rated business services


Job description

Job Summary:
UST is a mission-driven company that transforms lives through technology. The Associate Data Engineer role is for early-career engineers to learn and execute data engineering tasks, including data ingestion, modeling, and visualization, under the guidance of senior engineers.
Responsibilities:
• Execute assigned components of solution designs handed off by Senior and Data Engineers, delivering production-grade code under senior engineer guidance.
• Land source data into the team's unified ingestion framework using the patterns specified in the design.
• Implement assigned data models and transformation logic in Snowflake (including Iceberg tables) and Databricks (Delta Lake, Unity Catalog) per the design.
• Apply medallion (bronze, silver, gold) architecture and the team's engineering standards to all work, including naming conventions, documentation, and code review practices.
• Build assigned components of the semantic layer in Microsoft Fabric (Fabric IQ, OneLake) per the design specifications.
• Build assigned Power BI visualizations and reports following the design specifications and the team's BI standards.
• Implement unit tests, data quality checks, and reconciliation for assigned work.
Qualifications:
Required:
• Graduation Year: 2024, 2025 or 2026
• GPA: 3.5
• Experience: 1+ years
• Bachelor's degree in Computer Science, Software Engineering, Information Management, or equivalent experience in field plus 1+ years of related work experience, OR equivalent demonstrated experience through internships, bootcamps, or self-directed project work.
• Must be located in the United States.
• 1+ years of hands-on data engineering or software engineering experience, including internships and academic project work that demonstrate production-quality engineering habits.
• Working proficiency in SQL and Python.
• Exposure to Spark (PySpark or Spark SQL) for distributed data transformation, or strong willingness and demonstrated ability to learn it quickly.
• Exposure to cloud data platforms Databricks, Snowflake, or comparable with a willingness to develop hands-on depth.
• Familiarity with at least one BI tool (Power BI preferred, Tableau or similar acceptable).
• Understanding of fundamental data engineering concepts data modeling, ETL/ELT, data quality, source-to-target mapping.
• Familiarity with Git, code review practices, and basic CI/CD concepts.
• Good communication skills able to ask clarifying questions, communicate progress clearly, and learn from feedback.
• Strong problem-solving instincts, curiosity, and the discipline to deliver well-defined work to a high standard.
• Eagerness to learn the full vertical from ingestion through visualization, and to take on broader ownership over time.
Preferred:
• Hands-on coursework, internship, or project experience with Databricks (Delta Lake) or Snowflake at any scale.
• Hands-on coursework, internship, or project experience with Microsoft Fabric, OneLake, or Power BI.
• Exposure to Iceberg tables or other modern open table formats.
• Exposure to HR data domains talent acquisition, workforce analytics, compensation, learning, performance, or people analytics.
• Familiarity with Workday, ServiceNow HR, or comparable HR systems of record.
• Exposure to streaming technologies (Kafka, Azure Event Hub, Delta Live Tables, or Spark Structured Streaming).
• Exposure to AI/ML pipelines or building data products that support ML workloads.
• Azure certifications (Azure Fundamentals, Data Engineer Associate) or working toward them.
• Familiarity with data privacy concepts (GDPR, CCPA) and HR data handling considerations.
Company:
UST is a Digital Transformations Solutions Provider. Founded in 1999, the company is headquartered in Aliso Viejo, USA, with a team of 10001+ employees. The company is currently Late Stage.

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