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Permanent Data Engineer C2C Jobs in Texas (NOW HIRING)

Strategic Staffing Solutions

Data Engineer

Houston, TX

$109K - $131K/yr

No C2C eligibility for this position. Visa Sponsorship is Available. The details are below. "Beware of scams. S3 never asks for money during its onboarding process." Job Title: Data Engineer Location:

Virtuous Tech Inc

Data Engineer - W2 only

Houston, TX · On-site

$109K - $131K/yr

W2 Only C2C: Not Accepted We are looking for an experienced Data Engineer with 8+ years of experience in building scalable data pipelines, data platforms, and analytics solutions. Key Skills: * 8+ ...

Strategic Staffing Solutions

Jr. Data Engineer

Plano, TX

$109K - $131K/yr

No C2C eligibility for this position. Visa Sponsorship is Available. The details are below. "Beware of scams. S3 never asks for money during its onboarding process." Job Title: Jr. Data Engineer ...

Strategic Staffing Solutions

Jr. Data Engineer

Plano, TX · On-site

$110K - $132K/yr

No C2C eligibility for this position. Visa Sponsorship is Available! The details are below. Beware of scams. S3 never asks for money during its onboarding process. Job Title: Jr. Data Engineer ...

Anveta Inc

Data Engineer

Westlake, TX · On-site

$60/hr

Data Engineer Target Pay Rate: Maximum USD $60.00/hr C2C * Location: Westlake, TX * Work Mode: Hybrid / Onsite Monday through Friday every other week (Connect weeks required) * Interview Process:

talentmovers inc

Azure Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

On C2C Job Summary: The Azure Data Engineer (Senior) is a highly experienced role responsible for leading the design, development, and maintenance of large-scale, complex data processing systems on ...

TEKsystems

Data Engineer

Coppell, TX · On-site

$50 - $80/hr

No C2C* Description As a Data Engineer, you'll partner closely with our Principal Data Engineers to keep pipelines healthy, resolve bugs, and deliver well-modeled, trusted data for reporting and ...

TEKsystems

Data Engineer

Coppell, TX · On-site

$50 - $80/hr

No C2C* Description As a Data Engineer, you'll partner closely with our Principal Data Engineers to keep pipelines healthy, resolve bugs, and deliver well-modeled, trusted data for reporting and ...

TEKsystems c/o Allegis Group

Data Engineer

Coppell, TX · On-site

$50 - $80/hr

No C2C* Description As a Data Engineer, you'll partner closely with our Principal Data Engineers to keep pipelines healthy, resolve bugs, and deliver well-modeled, trusted data for reporting and ...

IT America Inc

Databricks Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Austin, TX (Preferred Locals to Austin, TX and Permanent residents of USA) Duration: Long-Term Contract Key Skills: Looking for a Senior Databricks Data Engineer with SQL Server + SSIS + DW ...

Genesis10

Data Engineer - Hybrid

San Antonio, TX · On-site

$70 - $90/hr

Genesis10 is currently seeking a Data Engineer for a contract position with a Major Insurance ... permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of ...

Genesis10

Data Engineer

Plano, TX · On-site

$90K - $150K/yr

Genesis10 is currently seeking a Data Engineer for a direct hire opportunity with a Financial ... permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of ...

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Permanent Data Engineer C2C information

What is a permanent data engineer C2C?

Permanent Data Engineer C2C jobs refer to full-time data engineering positions where the hiring arrangement is on a 'Corp-to-Corp' (C2C) basis. In C2C contracts, a candidate works as an employee of a consulting or staffing company, which then contracts their services out to a client company. As a Permanent Data Engineer, you would be responsible for designing, building, and maintaining data systems, pipelines, and databases to support organizational data needs on a long-term basis. This setup allows for both the stability of a permanent role and the flexibility of a consulting arrangement.

What skills and qualifications are needed to thrive as a permanent data engineer C2C?

To thrive as a Permanent Data Engineer (C2C), you need strong expertise in data modeling, ETL processes, SQL, and programming languages like Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with big data platforms (e.g., Hadoop, Spark), cloud technologies (AWS, Azure, or GCP), and relevant certifications such as AWS Certified Data Analytics are highly valued. Excellent problem-solving, collaboration, and communication skills help you work efficiently with cross-functional teams and translate data requirements into actionable solutions. These skills and qualifications ensure the development, optimization, and maintenance of data pipelines that support robust business decision-making.

What challenges might a permanent data engineer C2C face when working with different client teams?

As a Permanent Data Engineer working C2C (Corp-to-Corp), you may encounter challenges like adapting quickly to various clients' tech stacks and data infrastructures. Communication can be complex, as you'll often collaborate with cross-functional teams who may have differing priorities or familiarity with data engineering concepts. Ensuring data quality and consistency across disparate systems is another common hurdle. Staying organized and proactive in documenting your work will help you succeed in these dynamic environments.

What is the difference between Permanent Data Engineer C2C vs Contract Data Engineer?

AspectPermanent Data Engineer C2CContract Data Engineer
Employment TypeFull-time, permanent employment with benefitsTemporary, project-based engagement without benefits
Work EnvironmentTypically in-house or long-term remoteOn-site or short-term remote, often at client sites
Credentials & CertificationsOften requires relevant certifications (e.g., AWS, Azure)Similar certifications may be preferred but not always mandatory
Industry UsageCommon in large organizations with ongoing data needsFrequent in consulting or project-specific roles

In summary, Permanent Data Engineer C2C roles offer stability and benefits, while Contract Data Engineer positions provide flexibility for short-term projects. Your choice depends on your career goals and preferred work environment.

What are the most commonly searched types of Data Engineer C2C jobs in Texas?

The most popular types of Data Engineer C2C jobs in Texas are:

What are popular job titles related to Permanent Data Engineer C2C jobs in Texas?

For Permanent Data Engineer C2C jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Permanent Data Engineer C2C jobs in Texas look for?

The top searched job categories for Permanent Data Engineer C2C jobs in Texas are:

What cities in Texas are hiring for Permanent Data Engineer C2C jobs?

Cities in Texas with the most Permanent Data Engineer C2C job openings:

Permanent Data Engineer C2C jobs near you
Infographic showing various Permanent Data Engineer C2C job openings in Texas as of August 2026, with employment types broken down into 74% Full Time, 2% Part Time, and 24% Contract. Highlights an 94% In-person, 4% Hybrid, and 2% Remote job distribution.

Data Engineer

Houston, TX

Strategic Staffing Solutions
Professional, Scientific, and Technical Services • 201 - 500 employees
Learn more about Strategic Staffing Solutionsexternal

$109K - $131K/yr

Full-time

Re-posted 14 days ago

Job description

Job Description STRATEGIC STAFFING SOLUTIONS HAS AN OPENING. This is a Contract Opportunity with our company that MUST be worked on a W2 Only. No C2C eligibility for this position.

Visa Sponsorship is Available. The details are below. "Beware of scams.

S3 never asks for money during its onboarding process." Job Title: Data Engineer Location: Houston, TX Contract Length: 12+ Months Job ref# 247245 Seeking a Senior Data Engineer to support Enterprise AI initiatives within the Shale & Tight business. This is a senior, hands-on engineering role responsible for designing, developing, and optimizing scalable cloud-based data platforms and pipelines that enable AI, analytics, and machine learning solutions. The ideal candidate can work independently, solve complex technical problems, provide technical leadership, mentor engineers, and partner with Software Engineers, AI Engineers, Data Scientists, and business stakeholders to deliver enterprise-scale data solutions

Required Qualifications Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field (or equivalent experience) 10+ years of Data Engineering experience Expert-level Python and SQL development Experience designing and building scalable ETL/ELT data pipelines Strong experience with AWS, Azure, or GCP Experience with distributed data processing technologies such as Spark or Databricks Experience with data modeling, data architecture, and data integration Experience with orchestration tools such as Airflow, Azure Data Factory (ADF), or AWS Glue Experience working with both structured and unstructured data Experience with CI/CD, Git, and DevOps best practices Proven experience designing enterprise-scale data platforms and pipelines Experience building data solutions supporting analytics, AI, or machine learning workloads Strong troubleshooting and root cause analysis skills Demonstrated experience providing technical leadership and mentoring Data Engineers Excellent verbal and written communication skills Ability to work independently, prioritize competing initiatives, and thrive in ambiguous environments Key Responsibilities Design, develop, and optimize scalable cloud-based data pipelines and platforms Translate complex business requirements into technical solutions Partner with Software Engineers, AI Engineers, Data Scientists, and business stakeholders to deliver enterprise AI data solutions Lead the design and implementation of scalable, secure, and maintainable data architectures Improve existing data infrastructure through automation and engineering best practices Ensure data quality, governance, reliability, and platform performance Troubleshoot production issues and perform root cause analysis Mentor junior and mid-level Data Engineers while providing technical leadership Drive engineering standards, documentation, and code quality

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