Data Science Engineer Visa Sponsorship Jobs in Texas
Texas is one of the most active states for data science engineer visa sponsorship, driven by technology corridors in Austin, Dallas, and Houston. Major employers include Dell Technologies, AT&T, ExxonMobil, and a growing number of AI-focused startups and financial services firms. The state's lack of income tax also makes it a competitive hiring market for internationally recruited engineering talent.
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Have you ever ordered a product on Amazon and when that box with the smile arrived you wondered how it got to you so fast? Have you wondered where it came from and how much it cost Amazon to deliver it to you? If so, the WW Amazon Logistics, Last Mile team is for you. We manage the delivery of tens of millions of products every week to Amazon’s customers, achieving on-time delivery in a cost-effective manner to deliver a smile for our customers.
Amazon Logistics is looking for a customer focused, analytically and technically skilled Business Intelligence Engineer to drive effective performance measurement and management, innovation and execution in last mile delivery. This position will be responsible for leading a BIE team building out analysis and visualization tools and processes to support our growing Amazon Logistics business.
The successful candidate will be able to effectively retrieve, integrate, visualize and present critical data to improve the efficiency of the package delivery network, and enable efficient management of a large global logistics system. This individual will work with technical and business teams to optimize planning, execution, process improvement and track progress against goals. This role requires an individual with excellent analytical abilities, business acumen and comfort with technical teams and systems. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and enjoy working with large scale of data.
Key job responsibilities
- Partner with internal stakeholders across multiple teams, gathering requirements and delivering end to end solutions
- Partner with Data Engineering and Software Development Engineers to prioritize and define AMZL data and BI development needs
- Work with in-house scientists, global supply chain, transportation and logistics teams to identify new BI capabilities and projects
- Lead and develop a team of Business Intelligence Engineers and Business Analysts
- Conduct deep dive investigations into operations execution and business problems, identify opportunities, and lead or support implementation (role varies by opportunity)
- Analyze and visualize large scale geo-spatial logistics and transaction data to articulate user behavior or delivery process problems, and output solid analysis report with recommendation
- Serve as liaison between the WW Planning and Analytics team and the operations business teams to achieve the goal of providing actionable insights into current delivery performance, and ad hoc investigations into future improvements or innovations. This will require data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations
- Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting
About the team
The AMZL ORBIT (Operations Reporting, Business Intelligence, and Technology) team works as an integral part of AMZL worldwide to ensure that its business intelligence and analytics needs are met. By providing information, insight, and decision support, we strive to enable success of all parts of AMZL. Our stakeholder set includes senior management, station operations, DSP management, Flex management, long-term planning, Ops technology (Voice of the Delivery Station, Voice of the Customer), network planning, and pretty much every BI and Ops teams in AMZL. The BI team maintains and improves metric reporting and AMZL's content in PerfectMile. This team also support publication of WBR decks across NA, EU and JP. We also support a limited set of reports in Tableau and QuickSight dedicated for analytical purposes.
BASIC QUALIFICATIONS
- 10+ years of professional or military experience
- 5+ years of SQL experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
PREFERRED QUALIFICATIONS
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
LOCATION
USA, TX, Austin - 130,400.00 - 176,300.00 USD annually
DESCRIPTION
Have you ever ordered a product on Amazon and when that box with the smile arrived you wondered how it got to you so fast? Have you wondered where it came from and how much it cost Amazon to deliver it to you? If so, the WW Amazon Logistics, Last Mile team is for you. We manage the delivery of tens of millions of products every week to Amazon’s customers, achieving on-time delivery in a cost-effective manner to deliver a smile for our customers.
Amazon Logistics is looking for a customer focused, analytically and technically skilled Business Intelligence Engineer to drive effective performance measurement and management, innovation and execution in last mile delivery. This position will be responsible for leading a BIE team building out analysis and visualization tools and processes to support our growing Amazon Logistics business.
The successful candidate will be able to effectively retrieve, integrate, visualize and present critical data to improve the efficiency of the package delivery network, and enable efficient management of a large global logistics system. This individual will work with technical and business teams to optimize planning, execution, process improvement and track progress against goals. This role requires an individual with excellent analytical abilities, business acumen and comfort with technical teams and systems. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and enjoy working with large scale of data.
Key job responsibilities
- Partner with internal stakeholders across multiple teams, gathering requirements and delivering end to end solutions
- Partner with Data Engineering and Software Development Engineers to prioritize and define AMZL data and BI development needs
- Work with in-house scientists, global supply chain, transportation and logistics teams to identify new BI capabilities and projects
- Lead and develop a team of Business Intelligence Engineers and Business Analysts
- Conduct deep dive investigations into operations execution and business problems, identify opportunities, and lead or support implementation (role varies by opportunity)
- Analyze and visualize large scale geo-spatial logistics and transaction data to articulate user behavior or delivery process problems, and output solid analysis report with recommendation
- Serve as liaison between the WW Planning and Analytics team and the operations business teams to achieve the goal of providing actionable insights into current delivery performance, and ad hoc investigations into future improvements or innovations. This will require data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations
- Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting
About the team
The AMZL ORBIT (Operations Reporting, Business Intelligence, and Technology) team works as an integral part of AMZL worldwide to ensure that its business intelligence and analytics needs are met. By providing information, insight, and decision support, we strive to enable success of all parts of AMZL. Our stakeholder set includes senior management, station operations, DSP management, Flex management, long-term planning, Ops technology (Voice of the Delivery Station, Voice of the Customer), network planning, and pretty much every BI and Ops teams in AMZL. The BI team maintains and improves metric reporting and AMZL's content in PerfectMile. This team also support publication of WBR decks across NA, EU and JP. We also support a limited set of reports in Tableau and QuickSight dedicated for analytical purposes.
BASIC QUALIFICATIONS
- 10+ years of professional or military experience
- 5+ years of SQL experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
PREFERRED QUALIFICATIONS
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
LOCATION
USA, TX, Austin - 130,400.00 - 176,300.00 USD annually
Data Science Engineer Job Roles in Texas
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Search Data Science Engineer Jobs in TexasData Science Engineer Jobs in Texas: Frequently Asked Questions
Which companies sponsor visas for data science engineers in Texas?
Large technology and enterprise firms are the most consistent sponsors for data science engineers in Texas. Companies like Dell Technologies, AT&T, Amazon (Austin fulfillment and tech operations), ExxonMobil, and Lockheed Martin have filed significant numbers of H-1B petitions for data-related engineering roles. Texas-based fintech companies and healthcare analytics firms in the Dallas-Fort Worth corridor are also active sponsors, particularly for roles requiring machine learning and statistical modeling expertise.
Which visa types are most common for data science engineer roles in Texas?
The H-1B is the most common visa category for data science engineers in Texas, given that the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, statistics, or a related field. Candidates with advanced degrees may also enter through the H-1B master's cap. Those with extraordinary ability or significant research backgrounds sometimes pursue the O-1A. Australian citizens may qualify for the E-3 as an alternative to the H-1B.
Which cities in Texas have the most data science engineer sponsorship jobs?
Austin leads the state for data science engineer sponsorship activity, reflecting its concentration of technology companies and startups. Dallas-Fort Worth is a close second, driven by large corporate headquarters in finance, telecom, and healthcare. Houston contributes meaningful volume through energy sector employers like ExxonMobil and Chevron Phillips, which have expanded their data science functions significantly. San Antonio has a smaller but growing presence, particularly through cybersecurity and defense contractors.
How to find data science engineer visa sponsorship jobs in Texas?
Migrate Mate is built specifically for international candidates searching for visa sponsorship roles, including data science engineer positions in Texas. You can filter by state and role type to surface employers who have a documented history of sponsoring work visas in this field. Because Migrate Mate focuses exclusively on sponsorship-verified listings, it removes the friction of manually researching which Texas employers are open to international candidates.
Are there any Texas-specific considerations for data science engineers seeking visa sponsorship?
Texas has no state income tax, which affects prevailing wage comparisons since employers still must meet Department of Labor wage requirements for the specific metropolitan area. Austin and Dallas have distinct prevailing wage levels that differ from each other, so the same role title can carry different compliance thresholds depending on worksite location. The University of Texas system and Texas A&M also generate a consistent pipeline of OPT-eligible candidates, meaning many Texas employers already have established processes for sponsoring international data science hires.
What is the prevailing wage for sponsored data science engineer 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.
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