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Data Engineer Project Jobs in Princeton, TX (NOW HIRING)

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

These values support our core purpose; to build great relationships, one project at a time! We ... ROLE SUMMARY The Data Engineer is a technology professional embedded within the Digital ...

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

These values support our core purpose; to build great relationships, one project at a time! We ... ROLE SUMMARY The Data Engineer is a technology professional embedded within the Digital ...

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

These values support our core purpose; to build great relationships, one project at a time! We ... ROLE SUMMARY The Data Engineer is a technology professional embedded within the Digital ...

Data Engineer

Plano, TX · Hybrid

$109K - $131K/yr

Internship, co-op, research, or academic project experience in data engineering, cloud computing, or software development preferred. * Basic knowledge of SQL and relational databases. * Basic ...

Data Engineer

Plano, TX · Hybrid

$109K - $131K/yr

Internship, co-op, research, or academic project experience in data engineering, cloud computing, or software development preferred. * Basic knowledge of SQL and relational databases. * Basic ...

Data Engineer

Plano, TX · Hybrid

$109K - $131K/yr

Internship, co-op, research, or academic project experience in data engineering, cloud computing, or software development preferred. * Basic knowledge of SQL and relational databases. * Basic ...

Data Engineer

Plano, TX · Hybrid

$109K - $131K/yr

Internship, co-op, research, or academic project experience in data engineering, cloud computing, or software development preferred. * Basic knowledge of SQL and relational databases. * Basic ...

Data Engineer

Plano, TX · Hybrid

$109K - $131K/yr

Internship, co-op, research, or academic project experience in data engineering, cloud computing, or software development preferred. * Basic knowledge of SQL and relational databases. * Basic ...

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Dallas, TX Duration: Long Term project Full Time Position Data Engineer skilled in building scalable cloud data pipelines for high-volume manufacturing and IoT data using Spark, Kafka, Airflow, and ...

Lead Data Engineer

Plano, TX · On-site

$98K - $129K/yr

... projects involving customer data integration, identity resolution, and data synchronization across internal and third-party platforms. • Oversee development and data engineering practices ...

You are accountable for confirming project success and maintaining standards. Enhancing your ... data engineering projects - Utilizing Azure Data Factory and Databricks Unified Data Analytics ...

Data Engineer

Frisco, TX · On-site

$107K - $128K/yr

Data Engineer Frisco TX Individuals within the Data Engineering role work closely with business ... Individuals also provide input to project plans related to their responsibilities. They ensure data ...

Data Engineer

Plano, TX

$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 ...

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

$106K - $128K/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 ...

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Showing results 1-20

Data Engineer Project information

See Princeton, TX salary details

$40.5K

$145.4K

$214.5K

How much do data engineer project jobs pay per year?

As of Sep 1, 2026, the average yearly pay for data engineer project in Princeton, TX is $145,369.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,600.00 and $149,800.00 per year, depending on experience, location, and employer.

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 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 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.

Are data engineers still in high demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. Skills in cloud platforms, data pipeline development, and tools like SQL, Python, and Apache Spark enhance job prospects in this field.

Is a data engineer paid well?

Data engineers are generally well-compensated due to their specialized skills in managing large datasets, working with tools like SQL, Python, and cloud platforms. Salaries vary by experience, location, and industry, but they tend to be higher than average for tech roles, reflecting the demand for data infrastructure expertise.

What are popular job titles related to Data Engineer Project jobs in Princeton, TX?

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

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

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

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

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

Infographic showing various Data Engineer Project job openings in Princeton, 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 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $145,369 per year, or $69.9 per hour.

Data Engineer

Royal Electric

Dallas, TX • On-site

$113K - $136K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago


Job description

Join Team Royal!

Why Royal? At Royal Electric Company we provide expert electrical design, construction, and service with builders, contractors and facility owners who value relationships, trust, expertise, and a commitment to each other towards achieving exceptional results. We believe in transforming the culture of construction, creating a space where everyone feels they belong. We are proud to support initiatives like "Breaking Barriers," showcasing the incredible contributions of women in our industry. Breaking Barriers: Women At Work Episode 1

We are able to sustain this through our linking values of expertise, collaboration, integrity, passion, and loyalty. These values support our core purpose; to build great relationships, one project at a time! 

We believe in taking care of our team. From comprehensive wellness programs to continuous learning opportunities, we invest in your growth and well-being.

One Royal Culture Short Story

We have a current opening for a Data Engineer for our Dallas Office.

ROLE SUMMARY 

The Data Engineer is a technology professional embedded within the Digital Transformation team, supporting Construction Operations and corporate functions through reliable data integration, scalable data pipelines, and well-governed enterprise data. Reporting to the DX manager, this role partners closely with IT, Construction Operations, Finance, and PMO to transform data from core business systems into trusted, accessible datasets that support reporting, analytics, forecasting, and operational decision-making. 

This role supports data engineering initiatives for our data across ERP and MRP platforms, project management systems, field mobility tools, scheduling systems, financial systems, and construction technology solutions. The Data Engineer designs and maintains integrations and data pipelines that improve project visibility, reporting reliability, data availability, and digital transformation efforts across a capital-intensive construction environment. 

The position plays a key role in strengthening data governance, improving data quality, automating data movement, and building scalable data infrastructure that enables enterprise growth and operational excellence through our data lake house. 

Success in the position is achieved through the following duties & responsibilities:

  • Construction Data Pipelines & Integration 
    • Design, build, and maintain reliable data pipelines that support project managers, operations leaders, and executive reporting needs. 
    • Integrate data from ERP/MRP, project management, scheduling, field mobility, and financial systems into governed enterprise datasets. 
    • Develop and maintain transformations that standardize project, labor, cost, vendor, material, and operational data for downstream use. 
  • Technology & Systems Integration 
    • Support data integration requirements for system implementations, upgrades, and digital transformation projects. 
    • Partner with application owners and vendors to define data interfaces, source-to-target mappings, and integration requirements. 
    • Automate recurring data movement and manual workflows through scripting, APIs, orchestration, and reusable data pipelines. 
  • Data Platform Engineering & Automation 
    • Build and optimize data models, staging layers, and curated datasets that support enterprise analytics and reporting. 
    • Monitor pipeline performance, troubleshoot failures, and improve reliability, scalability, and data processing efficiency. 
    • Document data flows, transformations, dependencies, and technical standards to support maintainable and reproducible solutions. 
  • Data Governance & Quality Management 
    • Collaborate with Technology teams to improve data quality, consistency, lineage, and reliability across enterprise systems. 
    • Support master data management initiatives across projects, vendors, materials, labor categories, and other shared business entities. 
    • Implement validation, reconciliation, and monitoring controls that strengthen enterprise reporting and trusted data use.
  • Business Partnership & Communication 
    • Work directly with Construction Operations, Finance, HR, and corporate leadership to translate business and reporting needs into data solutions. 
    • Partner with analysts and data consumers to deliver well-defined, accessible datasets and explain technical concepts to non-technical audiences. 
    • Contribute to change management and adoption efforts associated with new data integrations, reporting tools, and system enhancements. 

WHY THIS ROLE MATTERS 

This role is critical to ensure enterprise technology investments and construction operations are supported by accurate, timely, and reliable data. The Data Engineer strengthens the integration between technology systems and field execution by building trusted data pipelines that enable reporting, forecasting, financial controls, and operational decision-making. 

By improving integrations across enterprise systems, this role creates a scalable data foundation for predictable project delivery, capital efficiency, and sustainable growth. 

Who you are:

  • Strive to be great - You're eager to build and master your skills by seeking out - applying - training and new experiences. You're willing to work smart, take initiative, and take on challenges with a tenacious and resourceful attitude.
  • Fun & Friendly - You like people, have a sense of humor, and enjoy what you do.
  • Analytical and Solutions-oriented - You're skilled at identifying challenges and opportunities, developing practical solutions, and ensuring projects stay on track to meet their goals.
  • Critical Thinker - You're willing to be innovative, challenge yourself, and try new things.
  • Relationship Builder - You work to build trust and relationships at all levels, cultivating collaboration, shared success, and mutual respect.
  • Influencer - You're an inspiration to others, capable of guiding actions, decisions, and strategies. You recognize other people's underlying needs and motivations and can navigate individual and group perspectives.

Requirements

Required 

  • Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field. 
  • 3–5 years of experience in data engineering, data integration, or related data platform work. 
  • Proficiency in SQL and Python for data transformation, automation, and troubleshooting. 
  • Experience building ETL/ELT data pipelines, integrating APIs, working with relational databases, and implementing modern data engineering practices in Data Warehouse or Lakehouse environments. 
  • Experience with Microsoft Fabric, Azure-based data services, or similar cloud-based data platforms. 
  • Experience in data modeling and designing scalable data structures to support analytics, reporting, and business intelligence solutions. 
  • Strong problem-solving skills with attention to data quality, reliability, and documentation. 
  • Experience using Git and CI/CD practices for managing and deploying data engineering solutions. 

Preferred 

  • Experience working with ERP, MRP, or construction/project management systems. 
  • Exposure to capital project delivery environments or construction operations. 
  • Familiarity with Power BI or similar enterprise BI platforms. 
  • Experience supporting financial, job-cost, project-controls, or operational reporting data. 
  • Knowledge of enterprise data governance and security practices. 

CORE COMPETENCIES 

  • Enterprise Data Engineering 
  • ERP & Systems Integration 
  • Data Pipeline Development & Automation 
  • Cloud Data Platforms & SQL 
  • Data Modeling & Transformation 
  • Data Quality, Governance & Reliability 
  • Cross-Functional Collaboration 
  • Problem Solving & Technical Rigor 

SUCCESS METRICS 

  • Improved reliability and availability of enterprise data pipelines 
  • Faster access to trusted data for Construction and Technology teams 
  • Reduction in manual data movement and reconciliation efforts 
  • Improved integration across ERP, project, financial, and field systems 
  • Improved enterprise data quality, lineage, and reporting consistency 
  • Demonstrated contribution to scalable analytics and operational efficiency 

Salary Range:

  • Dallas, TX: $93,000/year - $119,000/year

*Please note that at this time, Royal Electric is unable to provide visa sponsorship or participate in any employment-based immigration or work authorization programs. Candidates must have current authorization to work in the United States without the need for present or future sponsorship.

Royal is proud to be an equal opportunity workplace. Individuals seeking employment at Royal are considered without regards to age, ancestry, color, race, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, sexual orientation, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, religion, military or veteran status, or any other characteristic protected by federal, state, or local laws.

We utilize E-Verify to confirm work authorization with both the Social Security Administration and the Department of Homeland Security. E-Verify Link: http://www.uscis.gov/e-verify/employees

We promote a drug free workplace.

Benefits

  • Health Care Plan (3 types of Medical plans, Discounted Dental & Orthodontist services for adults & children, Premium Vision Plan) 
  • Retirement Plan (Traditional 401k, Roth 401k).  
  • $50k Life Insurance (Basic, Voluntary, & AD&D) 
  • Paid Time Off (Vacation, Sick Leave, and 8 Paid Holidays)  
  • Family Leave FMLA (Maternity & Paternity)  
  • Short Term & Long-Term Disability 
  • Pet Insurance 
  • Flex Spending Accounts: Healthcare, Dependent care (Daycare children & elderly – work related), & Transit  
  • Pharmacy discounts 
  • Kisx Card (Surgery & Imaging Program)  
  • Opportunity for tuition reimbursement 

Wellness Resources 

  • Free telehealth  
  • Health Joy App  
  • Free peer coach support - (mental health, stress management, substance use, and suicidal ideation) 
  • CancerCARE 1:1 Consulting and support with expert medical team  
  • Employee Assistance Support  
  • Hearing Aid discount plan 
  • Laser VisionCare discount plan 

Learning & Development 

  • Safety training: Getting Everyone Home Safely
  • Professional & Leadership Development Training 
  • Skill Development Training
  • Mentorship Program
  • On-The-Job & Classroom Training

Employee Referral Program: We value referrals from our employees! If you know someone who would be a great fit for this role, please refer them through our company’s referral program. Successful referrals can earn you an incentive!