Data Engineer Jobs at VAST Data with Visa Sponsorship
Data Engineer jobs at VAST Data sit at the core of the company's mission to build storage and data infrastructure for AI-scale workloads. The company sponsors visas including H-1B visa and F-1 OPT for this function, making it a realistic target if you're building a career in data engineering and need sponsorship.
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Get Access To All JobsINTRODUCTION
VAST Data is looking for a Sr. Data Analyst (Operations) to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"VAST's data management vision is the future of the market." - Forbes
VAST Data is the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, VAST takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless VASTronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our company’s growth and at a pivotal point in computing history.
ROLE AND RESPONSIBILITIES
VAST is seeking a Sr. Data Analyst (Operations) to join our growing analytics team. The Sr. Data Analyst will provide strategic recommendations (not just data findings) that directly influence business decisions and company strategy. The role will partner closely with business stakeholders in Operations to develop analytical solutions that improve VAST reporting systems, data quality, and processes.
With a focus on Operations analytics, the ideal candidate has a strong understanding of Operations programs, organizational structures, tools, best practices, and strategies. This role will collaborate with stakeholders in Supply Chain, Sourcing, Logistics, and Quality to build analytics that inform decision making, increase return on investment, and improve business outcomes. The Sr. Data Analyst will manage multiple stakeholders and present to executive and non-technical leaders.
As a Sr. Data Analyst, this position will play a key role in transforming data into actionable insights that improve business outcomes. The Sr. Data Analyst will lead large, complex analytics and reporting projects, delivering accurate, accessible, and repeatable business reporting linked to strategic business outcomes. The role will be responsible for both building data models behind operational metrics, using SQL, and creating visually compelling dashboards in Tableau. We are seeking an analyst that can tell stories with data and deliver actionable recommendations that our stakeholders regularly use to make change within their organizations.
Essential Duties and Responsibilities
- Strategic Leadership: Translates high-level business problems and questions into specific, measurable analytics, metrics, and visualizations
- Project Ownership: Leads analytical projects end-to-end with minimal supervision, including defining scope, methodology, execution, and delivery
- Mentorship: Provide guidance and analytical support to junior analysts. Conduct peer review of code, analysis, and reports to ensure accuracy and quality
- Data Extraction: Applies advanced SQL skills to extract and transform data, ensuring data integrity and accuracy for reporting and analysis purposes
- Strategic Analysis: Design, implement, and maintain metrics, moving beyond basic reporting to establish predictive performance indicators
- Data Visualization: Develop and maintain sophisticated, automated dashboards that provide real-time visibility into the health of business operations
- Data Management: Ensure the accuracy of data through regular audits and process improvement efforts. Works to improve the integrity of our data
- Stakeholder Management: Act as a primary liaison between the analytics team and business function for all requests related to data and analytics
BASIC QUALIFICATIONS
- Education: Masters degree in Business, Business Analytics Operations Management, Computer Science, Data Science or a related field preferred
- Experience: 5+ years of experience as a Data Analyst with at least 2 years focused specifically on operational domains (Supply Chain, Logistics, Warehouse Operations, Service Delivery, etc.).
- Programming Languages: Proven expertise in advanced SQL for data extraction and manipulation
- Visualization Tools: Expert in Tableau for dashboard creation, data visualization, and data storytelling
- Analytical Skills: Proven analytical, problem-solving, and critical thinking skills
- Domain Expertise: Knowledge with Operations data sources and processes required
- Travel: Minimal travel required (approximately 10% or less annually)
PREFERRED QUALIFICATIONS
- A relentless drive and a customer-first mentality are essential.
- An attention to detail that ensures accuracy and reliability in findings that leads to trust and credibility with stakeholders.
- The ability to break down complex problems, identify patterns, and derive meaningful insights from data.
- Intellectual curiosity with a natural desire to explore data and ask questions that lead to deeper insights.
- The ability to convey complex data insights clearly and effectively to both technical and non-technical stakeholders.
- Ability to manage multiple projects and deadlines with prioritizing tasks.
- Ability to thrive in a culture of transparency and direct feedback.
INTRODUCTION
VAST Data is looking for a Sr. Data Analyst (Operations) to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"VAST's data management vision is the future of the market." - Forbes
VAST Data is the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, VAST takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless VASTronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our company’s growth and at a pivotal point in computing history.
ROLE AND RESPONSIBILITIES
VAST is seeking a Sr. Data Analyst (Operations) to join our growing analytics team. The Sr. Data Analyst will provide strategic recommendations (not just data findings) that directly influence business decisions and company strategy. The role will partner closely with business stakeholders in Operations to develop analytical solutions that improve VAST reporting systems, data quality, and processes.
With a focus on Operations analytics, the ideal candidate has a strong understanding of Operations programs, organizational structures, tools, best practices, and strategies. This role will collaborate with stakeholders in Supply Chain, Sourcing, Logistics, and Quality to build analytics that inform decision making, increase return on investment, and improve business outcomes. The Sr. Data Analyst will manage multiple stakeholders and present to executive and non-technical leaders.
As a Sr. Data Analyst, this position will play a key role in transforming data into actionable insights that improve business outcomes. The Sr. Data Analyst will lead large, complex analytics and reporting projects, delivering accurate, accessible, and repeatable business reporting linked to strategic business outcomes. The role will be responsible for both building data models behind operational metrics, using SQL, and creating visually compelling dashboards in Tableau. We are seeking an analyst that can tell stories with data and deliver actionable recommendations that our stakeholders regularly use to make change within their organizations.
Essential Duties and Responsibilities
- Strategic Leadership: Translates high-level business problems and questions into specific, measurable analytics, metrics, and visualizations
- Project Ownership: Leads analytical projects end-to-end with minimal supervision, including defining scope, methodology, execution, and delivery
- Mentorship: Provide guidance and analytical support to junior analysts. Conduct peer review of code, analysis, and reports to ensure accuracy and quality
- Data Extraction: Applies advanced SQL skills to extract and transform data, ensuring data integrity and accuracy for reporting and analysis purposes
- Strategic Analysis: Design, implement, and maintain metrics, moving beyond basic reporting to establish predictive performance indicators
- Data Visualization: Develop and maintain sophisticated, automated dashboards that provide real-time visibility into the health of business operations
- Data Management: Ensure the accuracy of data through regular audits and process improvement efforts. Works to improve the integrity of our data
- Stakeholder Management: Act as a primary liaison between the analytics team and business function for all requests related to data and analytics
BASIC QUALIFICATIONS
- Education: Masters degree in Business, Business Analytics Operations Management, Computer Science, Data Science or a related field preferred
- Experience: 5+ years of experience as a Data Analyst with at least 2 years focused specifically on operational domains (Supply Chain, Logistics, Warehouse Operations, Service Delivery, etc.).
- Programming Languages: Proven expertise in advanced SQL for data extraction and manipulation
- Visualization Tools: Expert in Tableau for dashboard creation, data visualization, and data storytelling
- Analytical Skills: Proven analytical, problem-solving, and critical thinking skills
- Domain Expertise: Knowledge with Operations data sources and processes required
- Travel: Minimal travel required (approximately 10% or less annually)
PREFERRED QUALIFICATIONS
- A relentless drive and a customer-first mentality are essential.
- An attention to detail that ensures accuracy and reliability in findings that leads to trust and credibility with stakeholders.
- The ability to break down complex problems, identify patterns, and derive meaningful insights from data.
- Intellectual curiosity with a natural desire to explore data and ask questions that lead to deeper insights.
- The ability to convey complex data insights clearly and effectively to both technical and non-technical stakeholders.
- Ability to manage multiple projects and deadlines with prioritizing tasks.
- Ability to thrive in a culture of transparency and direct feedback.
See all Data Engineer Jobs at VAST Data
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Get Access To All JobsTips for Finding Data Engineer Jobs at VAST Data
Tailor your resume to VAST Data's stack
VAST Data's engineering work centers on distributed systems, high-throughput pipelines, and AI-adjacent infrastructure. Highlight hands-on experience with tools like Kafka, Spark, or object storage at scale rather than general-purpose data work.
Clarify your OPT or CPT timeline early
VAST Data sponsors F-1 OPT and CPT, so confirm your remaining authorization window before applying. If you're within six months of your OPT end date, be upfront so the team can assess H-1B timing against your start date.
Find open Data Engineer roles on Migrate Mate
Search for Data Engineer openings at VAST Data on Migrate Mate, which filters for employers with confirmed sponsorship history. It saves you from applying to roles where sponsorship is uncertain or excluded from the listing.
Ask about cap-exempt filing paths at interview
If VAST Data partners with qualifying research institutions or operates cap-exempt entities, H-1B petitions filed through those channels bypass the annual lottery. Raise this during the offer stage to understand whether a cap-exempt path applies to your role.
Prepare your educational credentials for specialty occupation review
USCIS evaluates whether a Data Engineer role qualifies as a specialty occupation under H-1B rules. A degree in computer science, data science, or a related technical field strengthens your petition, especially if your prior coursework aligns with the specific responsibilities in the job description.
Confirm Labor Condition Application details before signing
Your employer files an LCA with the DOL before submitting the H-1B petition. Review the prevailing wage level and worksite location listed on the LCA carefully, since inaccuracies can delay USCIS adjudication or require an amended petition after filing.
Frequently Asked Questions
Does VAST Data sponsor H-1B visas for Data Engineers?
Yes, VAST Data sponsors H-1B visas for Data Engineer roles. The process follows the standard USCIS H-1B cap pathway, which includes an annual lottery held in March. If you're already on a cap-exempt status or your role qualifies for a cap-exempt filing, you may be able to bypass the lottery entirely. Confirm sponsorship availability directly with the hiring team during the offer stage.
Which visa types are commonly used for Data Engineer roles at VAST Data?
VAST Data sponsors H-1B, F-1 OPT, F-1 CPT, and TN visas for Data Engineer positions. F-1 OPT and CPT are typically used by recent graduates already in the U.S., while the H-1B is the standard long-term work visa for this role. Canadian and Mexican nationals in qualifying technical occupations may also be eligible for TN status, which avoids the H-1B lottery entirely.
How do I apply for Data Engineer jobs at VAST Data?
Browse current Data Engineer openings at VAST Data through Migrate Mate, which surfaces roles from employers with confirmed sponsorship track records. When applying, align your resume to VAST Data's infrastructure and AI data platform focus. After submitting, expect a technical screen covering distributed systems, data pipeline design, and storage concepts before progressing to team interviews.
What qualifications does VAST Data expect from Data Engineer candidates?
VAST Data typically looks for strong fundamentals in distributed systems, large-scale data pipelines, and cloud-native storage architectures. A bachelor's or master's degree in computer science, data engineering, or a closely related field is standard. Practical experience with tools like Python, SQL, and stream-processing frameworks carries significant weight, particularly if you've worked on infrastructure supporting machine learning or AI workloads.
How do I navigate the H-1B timeline if I'm targeting a Data Engineer role at VAST Data?
USCIS opens H-1B registration in early March each year, with a lottery draw shortly after. If selected, your employer files the full petition by June 30, and the visa takes effect October 1. To hit that window, start conversations with VAST Data's recruiting team by January or February at the latest. If you're on OPT, your cap-gap protection may bridge any gap between your OPT expiration and the October start date.