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Temporary Data Engineer C2C Jobs in Texas (NOW HIRING)

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:

Data Engineer

Houston, TX · On-site

$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:

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:

Data Engineer

Dallas, TX · On-site

$55 - $60/hr

Analytics Engineer/Data Engineer Dallas, TX Hybrid: 3 days a week, 2 Days Remote $55-$60/hour ... No open to c2c or 1099 **U.S. Citizens and all other parties authorized to work in the U.S. are ...

Azure Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Dallas area, TX * Open on c2c or w2 Azure Data Engineer (Python & Azure) We are looking for an Azure Data Engineer with strong Python development and containerization experience to build scalable ...

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 ...

Data Engineer @ AUSTIN,TX

Austin, TX · On-site

$113K - $136K/yr

NO C2C; NO 1099 Position Summary We are seeking a Software Engineer (Data) / Data Engineer to support a critical data migration initiative. The role focuses on analyzing existing Hierarchical Data ...

Sr. GCP Cloud/ Data Engineer

Irving, TX · On-site

$101K - $138K/yr

... C2C Client: Verizon Required Skills: GCP cloud, Big Query, Data, SQL Server As part of COE BI ... Data Engineering and Reporting teams, analyze the SQL server stored procedures and migrate the ...

Data Engineer

Dallas, TX

$113K - $136K/yr

... Engineer to join the Enterprise Reporting team. You'll build and maintain the data pipelines ... cursors or temp tables * Hands-on experience with Snowflake (warehousing, performance tuning ...

Bigdata Engineer

Plano, TX · On-site

$53.50 - $71/hr

Big Data Engineer Plano, TX 6 Months+ No C2C, any visa is okay. Total Experience Required • 4 • The candidate should have performed client facing roles and possess excellent communication skills ...

Bigdata Engineer

Plano, TX · On-site

$52 - $69/hr

Big Data Engineer Plano, TX 6 Months+ No C2C, any visa is okay. Total Experience Required • 4 • The candidate should have performed client facing roles and possess excellent communication skills ...

Senior Data Engineer

Dallas, TX · On-site

$104K - $142K/yr

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st Shift (United States of America) Please review the following We are seeking a highly skilled Data Engineer to design ...

As a Data Engineer, you will build and maintain scalable data pipelines and AI/ML-ready data ... temporary employment. The benefits that generally apply to regular, full-time employees include ...

Data Engineer II, OTS - Data ANCHOR Team

Austin, TX · On-site

$113K - $136K/yr

As a Data Engineer, you will build and maintain scalable data pipelines and AI/ML-ready data ... temporary employment. The benefits that generally apply to regular, full-time employees include ...

Data Engineer II, OTS - Data ANCHOR Team

Austin, TX · On-site

$113K - $136K/yr

As a Data Engineer, you will build and maintain scalable data pipelines and AI/ML-ready data ... temporary employment. The benefits that generally apply to regular, full-time employees include ...

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Temporary Data Engineer C2C information

What is the difference between Temporary Data Engineer C2C vs Temporary Data Analyst C2C?

AspectTemporary Data Engineer C2CTemporary Data Analyst C2C
Required CredentialsBachelor's in Computer Science, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentTechnical teams, data infrastructure projectsBusiness teams, reporting and insights projects
Employer & Industry UsageTech companies, data-driven organizationsFinance, marketing, retail sectors
Common Search & Comparison IntentUnderstanding technical roles, infrastructure focusFocus on data insights, reporting tasks

Temporary Data Engineer C2C roles typically involve building and maintaining data pipelines and infrastructure, requiring technical certifications and a focus on data engineering tasks. In contrast, Temporary Data Analyst C2C positions emphasize analyzing data to generate reports and insights, often requiring statistical and analytical skills. Both roles are contract-based and used across various industries, but they serve different functions within data teams.

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 Temporary Data Engineer C2C jobs in Texas? For Temporary Data Engineer C2C jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Temporary Data Engineer C2C jobs in Texas look for? The top searched job categories for Temporary Data Engineer C2C jobs in Texas are:
What cities in Texas are hiring for Temporary Data Engineer C2C jobs? Cities in Texas with the most Temporary Data Engineer C2C job openings:
Data Engineer

$109K - $131K/yr

Other

Posted 12 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