Data Manager Visa Sponsorship Jobs in Texas
Texas is one of the most active states for data manager visa sponsorship, with hiring concentrated in Dallas-Fort Worth, Houston, and Austin. Major employers include Dell Technologies, AT&T, ExxonMobil, and a growing network of health systems and financial services firms. The state's scale across energy, tech, and healthcare creates consistent demand for experienced data managers.
Find Data Manager JobsOverview
Showing 5 of 874+ Data Manager Jobs in Texas with Visa Sponsorship
See all 874+ Data Manager Jobs in Texas with Visa Sponsorship
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Manager Jobs in Texas with Visa Sponsorship.
Get Access To All JobsPosition Title: Data Engineer
Location: HOUSTON, TX
FLSA Class: EXEMPT
Responsible to: ENGINEERING MANAGER
Position Summary: The Data Engineer is responsible for designing, developing, and maintaining the data pipelines, models, and governance controls supporting VoltaGrid’s cloud data platform. This position ensures data is reliable, accessible, secure, and cost-efficient, including high-frequency telemetry from the company’s power generation fleet.
The Data Engineer works closely with Operations, Finance, Data Science, and Software Engineering to support analytics, business reporting, customer-facing data products, and AI initiatives. This role supports production data systems, establishes data quality standards, and improves platform performance and scalability. Snowflake experience is highly preferred.
Essential Duties and Responsibilities:
- Design, build, and maintain batch, streaming, and event-driven data pipelines integrating SaaS applications, APIs, and industrial telemetry sources.
- Develop and optimize data models and transformations across raw, integration, and presentation layers.
- Establish and monitor data freshness service-level agreements and implement monitoring and alerting for pipeline health.
- Implement automated data quality checks and controls to prevent inaccurate or incomplete data from reaching downstream systems, particularly customer-facing and financial applications.
- Optimize performance and control compute costs for large time-series datasets through warehouse sizing, clustering, query tuning, budgets, and resource monitoring.
- Develop and maintain continuous integration and continuous deployment (CI/CD) workflows, including version-controlled schema changes and promotion across development, testing, and production environments.
- Implement and maintain data governance and security controls, including role-based access, tagging, masking, and row-level security.
- Develop, secure, and monitor data products shared with customers and business partners.
- Document data assets, establish ownership, and develop semantic models supporting self-service analytics and AI tools.
- Identify and retire obsolete or unused data assets and establish consistent naming conventions and design standards.
- Collaborate with business and engineering stakeholders to define requirements, develop data designs, and deliver new data products.
- Participate in incident response, root cause analysis, and production support for data systems.
- Perform other duties as assigned.
Other Requirements:
- Minimum of four years of experience in data engineering or a closely related role.
- Strong SQL and Python skills.
- Experience designing, deploying, and operating production data pipelines at scale.
- Experience working with large datasets; experience with time-series, IoT, or sensor data is preferred.
- Experience with pipeline orchestration and scheduling tools.
- Experience with Git and CI/CD practices for data or software deployments.
- Strong understanding of data modeling, data warehousing, and extract, load, and transform (ELT) and extract, transform, and load (ETL) design patterns.
- Strong understanding of data quality, observability, and monitoring practices.
- Understanding of data security and access control fundamentals.
- Strong communication and collaboration skills, with the ability to work effectively with technical and non-technical stakeholders.
Preferred Qualifications:
- Hands-on experience operating Snowflake in production environments is highly preferred, including:
- Dynamic Tables, Tasks, Streams, and Snowpipe or Snowpipe Streaming.
- Warehouse sizing, clustering, query tuning, and cost controls.
- Data metric functions, tagging, masking policies, row access policies, and Secure Data Sharing.
- Zero-copy cloning, Time Travel, and schema migration or infrastructure-as-code tools.
- Experience with Snowpark or Snowflake Cortex and related AI capabilities.
- Experience in energy, power generation, oil and gas, or industrial and operational technology (OT) data environments.
- Experience with Grafana or business intelligence tools.
The above statements are intended to describe the general nature and level of work being performed by employees assigned to this classification. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed.
VoltaGrid is an Equal Opportunity Employer that does not discriminate on the basis of actual or perceived race, creed, color, religion, alienage or national origin, ancestry, citizenship status, age, disability or handicap, sex, marital status, veteran status, sexual orientation, genetic information, arrest record, or any other characteristic protected by applicable federal, state or local laws.
Our management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities, and general treatment during employment.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
Position Title: Data Engineer
Location: HOUSTON, TX
FLSA Class: EXEMPT
Responsible to: ENGINEERING MANAGER
Position Summary: The Data Engineer is responsible for designing, developing, and maintaining the data pipelines, models, and governance controls supporting VoltaGrid’s cloud data platform. This position ensures data is reliable, accessible, secure, and cost-efficient, including high-frequency telemetry from the company’s power generation fleet.
The Data Engineer works closely with Operations, Finance, Data Science, and Software Engineering to support analytics, business reporting, customer-facing data products, and AI initiatives. This role supports production data systems, establishes data quality standards, and improves platform performance and scalability. Snowflake experience is highly preferred.
Essential Duties and Responsibilities:
- Design, build, and maintain batch, streaming, and event-driven data pipelines integrating SaaS applications, APIs, and industrial telemetry sources.
- Develop and optimize data models and transformations across raw, integration, and presentation layers.
- Establish and monitor data freshness service-level agreements and implement monitoring and alerting for pipeline health.
- Implement automated data quality checks and controls to prevent inaccurate or incomplete data from reaching downstream systems, particularly customer-facing and financial applications.
- Optimize performance and control compute costs for large time-series datasets through warehouse sizing, clustering, query tuning, budgets, and resource monitoring.
- Develop and maintain continuous integration and continuous deployment (CI/CD) workflows, including version-controlled schema changes and promotion across development, testing, and production environments.
- Implement and maintain data governance and security controls, including role-based access, tagging, masking, and row-level security.
- Develop, secure, and monitor data products shared with customers and business partners.
- Document data assets, establish ownership, and develop semantic models supporting self-service analytics and AI tools.
- Identify and retire obsolete or unused data assets and establish consistent naming conventions and design standards.
- Collaborate with business and engineering stakeholders to define requirements, develop data designs, and deliver new data products.
- Participate in incident response, root cause analysis, and production support for data systems.
- Perform other duties as assigned.
Other Requirements:
- Minimum of four years of experience in data engineering or a closely related role.
- Strong SQL and Python skills.
- Experience designing, deploying, and operating production data pipelines at scale.
- Experience working with large datasets; experience with time-series, IoT, or sensor data is preferred.
- Experience with pipeline orchestration and scheduling tools.
- Experience with Git and CI/CD practices for data or software deployments.
- Strong understanding of data modeling, data warehousing, and extract, load, and transform (ELT) and extract, transform, and load (ETL) design patterns.
- Strong understanding of data quality, observability, and monitoring practices.
- Understanding of data security and access control fundamentals.
- Strong communication and collaboration skills, with the ability to work effectively with technical and non-technical stakeholders.
Preferred Qualifications:
- Hands-on experience operating Snowflake in production environments is highly preferred, including:
- Dynamic Tables, Tasks, Streams, and Snowpipe or Snowpipe Streaming.
- Warehouse sizing, clustering, query tuning, and cost controls.
- Data metric functions, tagging, masking policies, row access policies, and Secure Data Sharing.
- Zero-copy cloning, Time Travel, and schema migration or infrastructure-as-code tools.
- Experience with Snowpark or Snowflake Cortex and related AI capabilities.
- Experience in energy, power generation, oil and gas, or industrial and operational technology (OT) data environments.
- Experience with Grafana or business intelligence tools.
The above statements are intended to describe the general nature and level of work being performed by employees assigned to this classification. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed.
VoltaGrid is an Equal Opportunity Employer that does not discriminate on the basis of actual or perceived race, creed, color, religion, alienage or national origin, ancestry, citizenship status, age, disability or handicap, sex, marital status, veteran status, sexual orientation, genetic information, arrest record, or any other characteristic protected by applicable federal, state or local laws.
Our management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities, and general treatment during employment.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
Data Manager Job Roles in Texas
See all 874+ Data Manager Jobs in Texas
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
Search Data Manager Jobs in TexasData Manager Jobs in Texas: Frequently Asked Questions
Which companies sponsor visas for data managers in Texas?
Several large Texas-based employers have established visa sponsorship track records for data manager roles. These include Dell Technologies and NXP Semiconductors in the Austin area, AT&T and JPMorgan Chase in Dallas-Fort Worth, and ExxonMobil and Houston Methodist in the Houston metro. Large hospital systems, defense contractors, and regional banks also regularly sponsor data managers through the H-1B visa program.
Which visa types are most common for data manager roles in Texas?
The H-1B is the most common visa category for data manager positions in Texas, as the role typically requires at least a bachelor's degree in a specific field such as information systems, computer science, or statistics. Some data managers enter on an F-1 OPT or STEM OPT extension before transitioning to H-1B. Candidates with specialized backgrounds may also qualify for the O-1A if they can document extraordinary achievement in their field.
Which cities in Texas have the most data manager sponsorship jobs?
Dallas-Fort Worth leads the state for data manager sponsorship volume, driven by its concentration of financial services, telecom, and corporate headquarters. Houston is the second-largest market, with strong demand from energy companies, healthcare systems, and logistics firms. Austin's tech sector generates consistent openings, particularly at software and semiconductor companies. San Antonio has a smaller but growing market tied to cybersecurity and military-adjacent technology employers.
How to find data manager visa sponsorship jobs in Texas?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it practical to search for data manager roles in Texas without sorting through positions that won't support international candidates. You can narrow results by city, industry, or employer type. Because sponsoring employers in Texas span energy, healthcare, finance, and tech, using a focused platform like Migrate Mate saves significant time compared to broad job searches.
Are there any Texas-specific factors that affect visa sponsorship for data managers?
Texas has no state income tax, which affects how employers calculate prevailing wage compliance under Department of Labor requirements for H-1B petitions. The state's large university system, including UT Austin, Texas A&M, and UT Dallas, produces a strong domestic pipeline, so sponsored roles tend to require clear justification of need. Data managers in specialized sectors like oil and gas or healthcare informatics may face less competition for sponsorship than those targeting general corporate IT roles.
What is the prevailing wage for sponsored data manager jobs in Texas?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.