Data Engineering Manager Visa Sponsorship Jobs in Texas
Texas is one of the strongest states for data engineering manager roles with visa sponsorship, driven by major tech and energy employers across Austin, Dallas, Houston, and San Antonio. Companies like Dell, Oracle, AT&T, and ExxonMobil regularly sponsor international talent for senior data leadership positions in this fast-growing market.
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Get Access To All JobsTake your career further with McLane!
McLane teammates, the driving force behind our success, are diverse professionals who work together seamlessly to keep our operations running smoothly. As a teammate, you will pair your dedication, expertise, and collaborative spirit with your fellow teammates to serve America's most beloved brands. McLane leaders think long-term, act with purpose, and inspire high performance. They lead with accountability, communicate clearly, and drive results through collaboration, innovation, and continuous growth. They empower each teammate to learn from industry leaders, develop their skills, and build lasting connections nationwide.
We're looking for a high-impact Manager, Sr. Data Engineering to lead strategy, platform modernization, and delivery for a next-generation data ecosystem powering digital supply chain outcomes. This role blends hands-on technical leadership, organizational development, and business partnership to deliver scalable, governed, and AI-ready data products.
This is a hybrid position which will require the candidate to report and work from the office at least three days a week. Therefore, interested candidates should be within a 50-minute radius from Temple, TX.
Benefits you can count on:
- Day 1 Benefits: medical, dental, and vision insurance, FSA/HSA, and company-paid life insurance
- Paid time off begins day one.
- 401(k) Profit Sharing Plan after 90 days.
- Additional benefits: pet insurance, maternity/paternity leave, employee assistance programs, discount programs, tuition reimbursement program, and more!
- Define and execute the data engineering strategy and operating model. (domain teams, platform teams, governance)
- Lead cloud and hybrid platform modernization. (lakehouse, streaming, real-time + batch ingestion, legacy migration)
- Establish enterprise standards & architectures. (ELT/ETL, medallion, semantic layer, data modeling, streaming)
- Drive data governance. (quality, lineage, security, access, SLAs, data contracts)
- Ensure compliance & audit readiness. (privacy-by-design, SOX, GDPR/CCPA alignment)
- Deliver scalable, reliable, cost-optimized platforms. (performance engineering, FinOps)
- Build reusable data pipelines & domain data products enabling analytics and AI/ML.
- Partner with business leaders to translate outcomes into prioritized backlogs and measurable KPIs.
- Implement DataOps practices. (CI/CD, testing, observability, incident response)
- Lead and develop high-performing teams. (hiring, coaching, succession planning)
- Manage vendor strategy, tooling, and technology selection.
- Drive continuous improvement through SLIs/SLOs, pipeline performance, data quality, and cost metrics.
What We're Looking For
- Education: Bachelor's degree in Computer Science, Engineering, Statistics, or related field.
- Experience 7+ years in data engineering / data platform engineering, including 3+ years leading teams. (manager-of-managers preferred)
- Deep experience with cloud data platforms (Azure, AWS, or GCP) and tools like Databricks, Fabric, Snowflake, or BigQuery.
- Strong expertise in Spark, batch + streaming pipelines, and modern data architectures.
- Advanced proficiency in SQL & Python.
- Proven experience with ELT/ETL, orchestration, data modeling (dimensional/Data Vault), and metadata/lineage.
- Expertise in DataOps & engineering excellence. (CI/CD, IaC, Git, monitoring, incident management)
- Solid understanding of data governance, security, and privacy controls. (IAM, encryption, retention, lineage)
- Experience translating business needs into technical solutions and driving cross-functional alignment.
- Background in vendor evaluation, budgeting, and tool selection.
- Strong communication skills with ability to influence at all levels.
- Working knowledge of AI/ML, data science, or advanced analytics concepts.
- Ability to lead multiple priorities and large-scale initiatives simultaneously.
- This position requires the ability to read, write, and understand English at a level sufficient to perform job-related tasks effectively and safely. This includes understanding work instructions, safety protocols, and communications essential to the role. The requirement is directly related to the nature of the job and ensures compliance with workplace safety and operational standards.
Fit the following? We want you here!
- Teamwork oriented
- Organized
- Problem solver
- Detailed
Our roadmap. Our story.
We've been forging our path as a leader in the distribution industry since 1894. Building an expansive nationwide network of team members for 130+ years has allowed us to stay agile for our clients across the restaurant, retail, and e-commerce industries. We look to the future and are ready to continue making industry-defining moves by embracing the newest technology into our practices, continuing team member training, and emphasizing our people-centered culture.
Candidates may be subject to a background check and drug screen, in accordance with applicable laws.
All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Take your career further with McLane!
McLane teammates, the driving force behind our success, are diverse professionals who work together seamlessly to keep our operations running smoothly. As a teammate, you will pair your dedication, expertise, and collaborative spirit with your fellow teammates to serve America's most beloved brands. McLane leaders think long-term, act with purpose, and inspire high performance. They lead with accountability, communicate clearly, and drive results through collaboration, innovation, and continuous growth. They empower each teammate to learn from industry leaders, develop their skills, and build lasting connections nationwide.
We're looking for a high-impact Manager, Sr. Data Engineering to lead strategy, platform modernization, and delivery for a next-generation data ecosystem powering digital supply chain outcomes. This role blends hands-on technical leadership, organizational development, and business partnership to deliver scalable, governed, and AI-ready data products.
This is a hybrid position which will require the candidate to report and work from the office at least three days a week. Therefore, interested candidates should be within a 50-minute radius from Temple, TX.
Benefits you can count on:
- Day 1 Benefits: medical, dental, and vision insurance, FSA/HSA, and company-paid life insurance
- Paid time off begins day one.
- 401(k) Profit Sharing Plan after 90 days.
- Additional benefits: pet insurance, maternity/paternity leave, employee assistance programs, discount programs, tuition reimbursement program, and more!
- Define and execute the data engineering strategy and operating model. (domain teams, platform teams, governance)
- Lead cloud and hybrid platform modernization. (lakehouse, streaming, real-time + batch ingestion, legacy migration)
- Establish enterprise standards & architectures. (ELT/ETL, medallion, semantic layer, data modeling, streaming)
- Drive data governance. (quality, lineage, security, access, SLAs, data contracts)
- Ensure compliance & audit readiness. (privacy-by-design, SOX, GDPR/CCPA alignment)
- Deliver scalable, reliable, cost-optimized platforms. (performance engineering, FinOps)
- Build reusable data pipelines & domain data products enabling analytics and AI/ML.
- Partner with business leaders to translate outcomes into prioritized backlogs and measurable KPIs.
- Implement DataOps practices. (CI/CD, testing, observability, incident response)
- Lead and develop high-performing teams. (hiring, coaching, succession planning)
- Manage vendor strategy, tooling, and technology selection.
- Drive continuous improvement through SLIs/SLOs, pipeline performance, data quality, and cost metrics.
What We're Looking For
- Education: Bachelor's degree in Computer Science, Engineering, Statistics, or related field.
- Experience 7+ years in data engineering / data platform engineering, including 3+ years leading teams. (manager-of-managers preferred)
- Deep experience with cloud data platforms (Azure, AWS, or GCP) and tools like Databricks, Fabric, Snowflake, or BigQuery.
- Strong expertise in Spark, batch + streaming pipelines, and modern data architectures.
- Advanced proficiency in SQL & Python.
- Proven experience with ELT/ETL, orchestration, data modeling (dimensional/Data Vault), and metadata/lineage.
- Expertise in DataOps & engineering excellence. (CI/CD, IaC, Git, monitoring, incident management)
- Solid understanding of data governance, security, and privacy controls. (IAM, encryption, retention, lineage)
- Experience translating business needs into technical solutions and driving cross-functional alignment.
- Background in vendor evaluation, budgeting, and tool selection.
- Strong communication skills with ability to influence at all levels.
- Working knowledge of AI/ML, data science, or advanced analytics concepts.
- Ability to lead multiple priorities and large-scale initiatives simultaneously.
- This position requires the ability to read, write, and understand English at a level sufficient to perform job-related tasks effectively and safely. This includes understanding work instructions, safety protocols, and communications essential to the role. The requirement is directly related to the nature of the job and ensures compliance with workplace safety and operational standards.
Fit the following? We want you here!
- Teamwork oriented
- Organized
- Problem solver
- Detailed
Our roadmap. Our story.
We've been forging our path as a leader in the distribution industry since 1894. Building an expansive nationwide network of team members for 130+ years has allowed us to stay agile for our clients across the restaurant, retail, and e-commerce industries. We look to the future and are ready to continue making industry-defining moves by embracing the newest technology into our practices, continuing team member training, and emphasizing our people-centered culture.
Candidates may be subject to a background check and drug screen, in accordance with applicable laws.
All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Data Engineering Manager Job Roles in Texas
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Search Data Engineering Manager Jobs in TexasData Engineering Manager Jobs in Texas: Frequently Asked Questions
Which companies in Texas sponsor visas for data engineering managers?
Several large Texas-based employers have consistent sponsorship track records for data engineering managers, including Dell Technologies in Round Rock, AT&T and Texas Instruments in Dallas, Oracle and Apple in Austin, and ExxonMobil and Hewlett Packard Enterprise in Houston. Financial services firms like Charles Schwab and technology-forward healthcare companies also hire for these roles with H-1B visa sponsorship support.
Which visa types are most common for data engineering manager roles in Texas?
The H-1B is the most common visa category for data engineering managers in Texas, as the role requires a bachelor's degree or higher in computer science, engineering, or a related field and qualifies as a specialty occupation. Candidates with extraordinary ability may pursue the O-1A. Those already holding L-1A visas through a multinational employer may also transition into data engineering manager roles within the same corporate family.
Which cities in Texas have the most data engineering manager sponsorship jobs?
Austin leads Texas for data engineering manager sponsorship activity, driven by its dense concentration of tech companies and regional headquarters. Dallas follows closely, particularly in financial services and telecom sectors. Houston offers opportunities tied to energy sector digital transformation and healthcare data initiatives. San Antonio has a growing cybersecurity and government IT presence that generates demand for data leadership roles.
How to find data engineering manager visa sponsorship jobs in Texas?
Migrate Mate is built specifically for international job seekers and filters job listings by visa sponsorship availability, making it straightforward to search for data engineering manager roles in Texas without wading through positions that don't offer sponsorship. You can filter by state and job category to surface relevant openings from employers who have demonstrated sponsorship history for data and engineering leadership positions.
Are there any Texas-specific considerations for data engineering managers seeking visa sponsorship?
Texas has no state income tax, which affects the prevailing wage calculation employers use for H-1B Labor Condition Applications since compensation benchmarks are set at the federal and metropolitan area level rather than by state tax treatment. Austin and Dallas are classified as higher-wage metropolitan areas by the Department of Labor, meaning H-1B prevailing wage requirements for data engineering manager roles there reflect competitive market rates. Texas's large university system, including UT Austin and Texas A&M, also feeds local employer pipelines with qualified candidates, so sponsoring employers in this state are well-accustomed to the process.
What is the prevailing wage for sponsored data engineering 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.