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Data Engineer Sponsorship Jobs in Texas (NOW HIRING)

Strategic Staffing Solutions

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

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 ...

Strategic Staffing Solutions

Jr. Data Engineer

Plano, TX

$109K - $131K/yr

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 Location: Plano, TX 75024 On Site Work ...

Strategic Staffing Solutions

Jr. Data Engineer

Plano, TX · On-site

$110K - $132K/yr

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 Location: Plano, TX 75024 On Site Work ...

Virtasant

Senior Data Engineer, Data Platform

Austin, TX · Remote

$113K - $136K/yr

We are NOT able to consider candidates on any kind of visa that requires sponsorship, like STEM OPT ... Strong programming skills in Python & SQL and at least one major data platform ( Snowflake ...

Virtasant

Senior Data Engineer, Data Platform

Austin, TX · On-site +1

$113K - $136K/yr

We are NOT able to consider candidates on any kind of visa that requires sponsorship, like STEM OPT ... Strong programming skills in Python & SQL and at least one major data platform ( Snowflake ...

Deloitte

Data Engineer

Fort Worth, TX

$109K - $131K/yr

Limited immigration sponsorship may be available. * Ability to travel 10%, on average, based on the ... As an experienced Data Engineer you will have the ability to share new ideas and collaborate on ...

Vizient

Data Engineer

Irving, TX

$77K - $135K/yr

Partner with application developers, data engineers, BI teams, and analytics partners to deliver ... You must be authorized to work in the United States without sponsorship now and in the future.

Deloitte

Data Engineer

Dallas, TX

$113K - $136K/yr

Limited immigration sponsorship may be available. * Ability to travel 10%, on average, based on the ... As an experienced Data Engineer you will have the ability to share new ideas and collaborate on ...

Vizient, Inc.

Data Engineer

Irving, TX · On-site

$77K - $135K/yr

Partner with application developers, data engineers, BI teams, and analytics partners to deliver ... You must be authorized to work in the United States without sponsorship now and in the future.

Toyota

Production Data Engineer

Plano, TX

$109K - $131K/yr

Toyota does not offer support or sponsorship of job applicants for employment-based visas or any ... Experience building and supporting full-stack data engineering solutions. * Experience developing ...

Beusa Energy Group

Data Engineer 1

The Woodlands, TX

$104K - $125K/yr

Data Engineering Supervisor Location: The Woodlands, TX Amount of Travel Required: 5-10% Work ... Must be legally authorized to work in the United States without the need for sponsorship. * Must be ...

TEKsystems

Data Engineer

Coppell, TX · On-site

$50 - $80/hr

*Hireable W2 without sponsorship only* *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 ...

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All JobsData Engineer Sponsorship JobsData Engineer Sponsorship Jobs in Texas

Data Engineer Sponsorship information

What is a data engineer sponsorship?

A Data Engineer Sponsorship refers to a job opportunity where an employer is willing to sponsor a work visa for a data engineering candidate, often for international professionals seeking to work in a new country. Data engineers in these roles design, build, and maintain data systems, pipelines, and architectures that enable companies to store, process, and analyze large volumes of data. Sponsorship can include assistance with visa applications, legal paperwork, and sometimes relocation support. These positions are common in countries with high demand for tech talent, such as the United States, United Kingdom, and Canada. Employers seek skilled data engineers who are proficient in programming, data warehousing, and big data technologies.

How does a data engineer working in a sponsorship-focused role typically collaborate with marketing and business development teams?

Data Engineers in sponsorship-driven environments often work closely with marketing and business development teams to design and maintain data pipelines that track sponsorship performance and audience engagement. This collaboration involves translating business requirements into technical solutions, ensuring data quality, and providing insights that help optimize sponsorship strategies. You can expect to participate in cross-functional meetings, support campaign analytics, and contribute to dashboards and reports that inform decision-making. Effective communication and a strong understanding of both data infrastructure and business goals are crucial for success in this role.

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 a solid background in computer science, proficiency in programming languages like Python or Java, and expertise in database management, often supported by a degree in a related field. Experience with big data tools (e.g., Hadoop, Spark), cloud platforms (e.g., AWS, Azure), and relevant certifications like Google Cloud Professional Data Engineer are highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help Data Engineers excel in collaborating with cross-functional teams. These skills and qualifications are crucial for building robust data pipelines, ensuring data quality, and enabling data-driven decision-making in organizations.

What is the difference between Data Engineer Sponsorship vs Data Scientist Sponsorship?

AspectData Engineer SponsorshipData Scientist Sponsorship
Required CredentialsBachelor's or higher in CS, Engineering, or related fields; certifications like AWS, GCP, or AzureBachelor's or higher in CS, Statistics, or related fields; certifications in data analysis or machine learning
Work EnvironmentData pipelines, ETL processes, cloud platformsStatistical analysis, model development, data visualization
Employer & Industry UsageTech companies, finance, healthcare, retailResearch institutions, tech firms, consulting

Both roles often require similar educational backgrounds and certifications, and they frequently work within the same industries. The main difference lies in their focus: Data Engineers build and maintain data infrastructure, while Data Scientists analyze data to generate insights. Sponsorship opportunities are common for both roles, especially for international candidates seeking work visas.

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

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

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

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

What cities in Texas are hiring for Data Engineer Sponsorship jobs?

Cities in Texas with the most Data Engineer Sponsorship job openings:

Data Engineer Sponsorship jobs near you
Infographic showing various Data Engineer Sponsorship job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Engineer

Strategic Staffing Solutions

Houston, TX • On-site

$109K - $131K/yr

Full-time

Re-posted 25 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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