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Contract Data Engineering Jobs in Dallas, TX (NOW HIRING)

7-Eleven

Senior Manager, Data Engineering

Irving, TX · On-site

... contracts. * Partner with Data Platform, Governance, and Quality teams to ensure every pipeline ... Mentor engineers, technical leads, and managers, and coach offshore engineering teams on ...

7-ELEVEN

Senior Manager, Data Engineering

Irving, TX · On-site

... contracts. * Partner with Data Platform, Governance, and Quality teams to ensure every pipeline ... Mentor engineers, technical leads, and managers, and coach offshore engineering teams on ...

Lorven Technologies

Data Engineer - Remote

Dallas, TX · On-site +1

$105K - $126K/yr

Dallas, TX Duration: 12+ Months Contract * Bachelor's degree in Computer Science, Data Engineering, or a related field * 3+ years of experience in data engineering, building and scaling data ...

IT America Inc

GCP Data Engineer

Richardson, TX · On-site

$104K - $124K/yr

Richardson, TX Duration: Long term contract Interview: F2F (Face to Face)/Onsite Job Summary: We are seeking an experienced Google Cloud Platform (GCP) Data Engineer to design, build, and optimize ...

SAR TECH LLC

Data Modeler / Data Engineer

Dallas, TX · On-site

Dallas, TX (Onsite/Hybrid as per client requirement) Duration: Long-Term Contract Required Skills : 8+ years of Data Modeling / Data Engineering experience Strong expertise in: Data Modeling (Logical ...

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All JobsContract Data Engineering JobsContract Data Engineering Jobs in Dallas, TX

Contract Data Engineering information

See Dallas, TX salary details

$44K

$128.3K

$175.6K

How much do contract data engineering jobs pay per year?

As of Jul 31, 2026, the average yearly pay for contract data engineering in Dallas, TX is $128,320.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,300.00 and $136,000.00 per year, depending on experience, location, and employer.

Are data engineers still in 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. Organizations seek professionals skilled in tools like SQL, Python, and cloud platforms to build and maintain data pipelines, making the role essential across many industries.

What is the difference between Contract Data Engineering vs Data Analyst?

AspectContract Data EngineeringData Analyst
Required SkillsSQL, Python, ETL, cloud platforms, data pipeline developmentSQL, Excel, data visualization, reporting tools
Work EnvironmentProject-based, technical teams, cloud or on-premises infrastructureBusiness units, reporting teams, often in office or remote
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail

Contract Data Engineers focus on building and maintaining data pipelines and infrastructure, requiring technical skills in programming and cloud platforms. Data Analysts interpret data, create reports, and visualize insights, often using different tools. While both roles work with data, Contract Data Engineering is more technical and infrastructure-oriented, whereas Data Analysts focus on data interpretation and business insights.

What engineers make $500,000?

Senior data engineers, especially those with extensive experience, specialized skills in cloud platforms, and expertise in big data tools, can earn $500,000 or more annually. High compensation is often associated with leadership roles, contract positions, or working in competitive industries like finance or technology. Achieving this level typically requires advanced certifications, a strong track record, and often working in high-cost-of-living areas or on high-stakes projects.

What is contract data engineering?

Contract data engineering refers to hiring data engineers on a temporary or project basis, rather than as full-time employees. Contract data engineers are responsible for designing, building, and maintaining data pipelines, databases, and other infrastructure to support data analytics and business needs. Companies often hire contract data engineers to handle specific projects, scale up teams quickly, or bring in specialized skills for a limited time. This arrangement offers flexibility for both the company and the engineer, and is common in industries with fluctuating data workloads or short-term projects.

Can a data engineer make 200k?

Senior data engineers with extensive experience, specialized skills in tools like Spark or cloud platforms, and working in high-cost-of-living areas can earn salaries of $200,000 or more. Compensation varies based on location, industry, and company size, with some roles offering bonuses and stock options that contribute to total earnings.

What are the key skills and qualifications needed to thrive as a Contract Data Engineer, and why are they important?

To thrive as a Contract Data Engineer, you need strong proficiency in data modeling, ETL processes, and programming languages such as Python or SQL, often supported by a degree in computer science or a related field. Familiarity with big data platforms (e.g., Hadoop, Spark), cloud services (AWS, Azure, GCP), and relevant certifications like Google Cloud Professional Data Engineer are typically required. Excellent problem-solving, adaptability, and effective communication are crucial soft skills in this role. These competencies enable efficient project delivery, seamless collaboration with stakeholders, and the ability to quickly adapt to new technical environments and client requirements.

What are some common challenges faced by contract data engineers and how can they be addressed?

Contract data engineers often face the challenge of quickly familiarizing themselves with a company's existing data infrastructure and processes. Since contracts are typically short-term, there is limited time to onboard, understand unique data pipelines, and build relationships with stakeholders. To address this, successful contract data engineers proactively communicate with team members, document their work thoroughly, and leverage their prior experience with a variety of tools and platforms. Flexibility and strong problem-solving skills are essential for adapting to new environments and delivering results efficiently.

What engineers make 300,000 a year?

Senior data engineers, especially those with extensive experience, advanced skills in cloud platforms, and expertise in big data tools like Spark and Hadoop, can earn $300,000 or more annually. High compensation is often associated with working in large organizations, in-demand industries, or holding leadership roles such as lead or principal data engineer.
What are the most commonly searched types of Data Engineering jobs in Dallas, TX? The most popular types of Data Engineering jobs in Dallas, TX are:
What are popular job titles related to Contract Data Engineering jobs in Dallas, TX? For Contract Data Engineering jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Contract Data Engineering jobs in Dallas, TX look for? The top searched job categories for Contract Data Engineering jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Contract Data Engineering jobs? Cities near Dallas, TX with the most Contract Data Engineering job openings:
Contract Data Engineering jobs near you
Infographic showing various Contract Data Engineering job openings in Dallas, TX as of July 2026, with employment types broken down into 43% Full Time, 9% Part Time, and 48% Contract. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $128,320 per year, or $61.7 per hour.

Data & Engineering Analyst - Packaging (Contract)

nextSource

Dallas, TX • On-site

$35.10/hr

Contractor

Medical, Dental, Vision, Life, Retirement

Posted 21 days ago

Job description

1 year contract with potential for extension
Location: Dallas, TX 75235
Pay Rate: $35.10/hourly
Start/End: 07/22/2026 - 07/21/2027
Our client is seeking a Contract Data & Engineering Analyst to support onboarding, data management, and technical analysis activities across packaging programs. This role focuses on high-accuracy data entry, Salesforce item setup, and engineering data validation to ensure consistency and accuracy across systems. The position works closely with Engineering, Operations, and Commercial teams to maintain data integrity and support decision-making through analysis.
Project Oversight: Cross-Regional Engineering Lead Consultant
KEY RESPONSIBILITIES
Data Entry & System Management
  • Create and maintain item numbers and variants in Salesforce
  • Support onboarding processes with accurate and timely data entry
  • Maintain organized and up-to-date records across systems

Engineering Data Management
  • Input and manage engineering data, including mold cavitation, bill of materials, and technical specifications
  • Ensure consistency of data across documents and systems
  • Review technical documentation for completeness and accuracy
  • Analyze data within documents to ensure accuracy (e.g., weight calculations, OFC/NFC comparisons)
  • Compare new packaging data against existing packages identified by the engineering team
  • Perform basic mathematical validations and cross-checks in Excel

Cost Analysis
  • Pull and analyze package costing data
  • Compare new vs. existing package costs and identify differences
  • Support teams with data-driven insights for decision-making

QUALIFICATIONS
  • Bachelor's degree in engineering, Finance, Accounting, Supply Chain Management, Product Management, or a related field
  • 2-5 years of experience in data analysis, engineering support, or operations
  • Very strong attention to detail and extremely high level of accuracy
  • Strong organizational and time management skills with the ability to handle multiple projects simultaneously

Technical Skills
  • Advanced proficiency in Microsoft Excel (formulas, basic analysis, data organization)
  • Experience with Salesforce or similar CRM systems preferred
  • Strong numerical and analytical skills
  • Comfortable working with technical and engineering data sets

Preferred Backgrounds
  • Engineering (Packaging, Mechanical, or related)
  • Finance or Accounting
  • Project Management
  • Data analysis or operations support roles

Core Competencies
  • Exceptional attention to detail and accuracy
  • Strong analytical and problem-solving skills
  • Organizational skills and ability to manage high volumes of data
  • Effective communication and cross-functional collaboration

WORK ENVIRONMENT & EXPECTATIONS
  • Ideal candidate resides in Dallas and can work a hybrid schedule: minimum 3 days per week in the office
  • Eight-hour days. 8:00 AM to 5:00 PM work schedule with 1-hr for lunch
  • Fast-paced environment supporting multiple programs simultaneously
  • High level of ownership for data accuracy and integrity

ENGAGEMENT TERMS
  • W2 only - No C2C arrangements
  • Unable to sponsor work authorization now or in the future
  • No third-party agencies or suppliers for this role

nextSource is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, marital status, parental status, cultural background, organizational level, work styles, tenure, and life experiences, or for any other reason.
nextSource is committed to providing reasonable accommodation for qualified individuals with disabilities in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at talent@nextSource.com.
What nextSource Provides:
  • Healthcare Benefits including Medical, Prescription, Vision & Dental Coverage | United Healthcare
  • Voluntary STD & LTD | New York Life
  • 401(k) Retirement Planning | Fidelity
  • Discount Program

*You are Eligible to participate in the benefits program if you are considered a full-time employee of nextSource, working at least 30 hours per week on a consistent basis. Your coverage will be effective on the 1st of the month following 60 days of employment.
  • Published on 10 Jul 2026, 11:24 PM

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