H-1B Visa Business Intelligence Engineer Jobs
Business Intelligence Engineer roles qualify as H-1B visa specialty occupations under the computer and mathematical occupations category, typically requiring a bachelor's degree in computer science, information systems, or a related field. Many large tech, finance, and healthcare employers file H-1B petitions for BI Engineers annually, making this one of the more sponsor-active roles in the data profession.
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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 hiring a Business Intelligence Engineer who sits at the intersection of AI-assisted development, advanced data visualization, and modern BI engineering. This role is ideal for someone who thinks like an engineer, designs like a product owner, and uses AI to move faster and smarter. You'll build intuitive, scalable analytics experiences that leaders want to use.
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!
- Engineer highly interactive dashboards and embedded analytics with a strong focus on clarity, usability, and performance.
- Leverage AI tools to accelerate development, automate workflows, and improve code quality.
- Partner with product, analytics, and business leaders to turn complex data into compelling visual narratives.
- Lead technical decisions around BI architecture, visualization standards, and analytics UX.
- Build and enhance analytics solutions across Looker/LookML, Power BI (Fabric), and Tableau environments.
- Contribute to CI/CD pipelines, version control, and scalable analytics delivery.
What We're Looking For
- Bachelor's degree in computer science, Data Analytics, Engineering, or a related field.
- 4+ years of experience in BI Engineering, Analytics Engineering, or Data Engineering roles.
- Strong AI fluency, including hands-on use of tools like Copilot, ChatGPT, or similar for development, code generation, and workflow automation.
- Required experience integrating AI into GitHub or similar development workflows, including PRs.
- Advanced data visualization and dashboard UX experience from an engineering perspective. (not design-only)
- Ability to create wireframes, mockups, and intuitive interfaces; familiarity with Figma, Sketch, or Adobe XD is a plus.
- Advanced SQL and strong Python skills.
- Experience with GCP and Looker/LookML (required); Fabric/Power BI required; Tableau and Cognos preferred.
- Experience with data modeling, ETL/ELT pipelines, and enterprise data warehousing.
- Full-stack familiarity (HTML, CSS, JavaScript, React/Vue/Angular) and REST API integration preferred.
- Proven ability to lead projects, influence technical direction, and partner across technical and non-technical teams.
- 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.
For our complete EEO and Pay Transparency statement, please visit https://www.mclaneco.com/legal/employment/
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 hiring a Business Intelligence Engineer who sits at the intersection of AI-assisted development, advanced data visualization, and modern BI engineering. This role is ideal for someone who thinks like an engineer, designs like a product owner, and uses AI to move faster and smarter. You'll build intuitive, scalable analytics experiences that leaders want to use.
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!
- Engineer highly interactive dashboards and embedded analytics with a strong focus on clarity, usability, and performance.
- Leverage AI tools to accelerate development, automate workflows, and improve code quality.
- Partner with product, analytics, and business leaders to turn complex data into compelling visual narratives.
- Lead technical decisions around BI architecture, visualization standards, and analytics UX.
- Build and enhance analytics solutions across Looker/LookML, Power BI (Fabric), and Tableau environments.
- Contribute to CI/CD pipelines, version control, and scalable analytics delivery.
What We're Looking For
- Bachelor's degree in computer science, Data Analytics, Engineering, or a related field.
- 4+ years of experience in BI Engineering, Analytics Engineering, or Data Engineering roles.
- Strong AI fluency, including hands-on use of tools like Copilot, ChatGPT, or similar for development, code generation, and workflow automation.
- Required experience integrating AI into GitHub or similar development workflows, including PRs.
- Advanced data visualization and dashboard UX experience from an engineering perspective. (not design-only)
- Ability to create wireframes, mockups, and intuitive interfaces; familiarity with Figma, Sketch, or Adobe XD is a plus.
- Advanced SQL and strong Python skills.
- Experience with GCP and Looker/LookML (required); Fabric/Power BI required; Tableau and Cognos preferred.
- Experience with data modeling, ETL/ELT pipelines, and enterprise data warehousing.
- Full-stack familiarity (HTML, CSS, JavaScript, React/Vue/Angular) and REST API integration preferred.
- Proven ability to lead projects, influence technical direction, and partner across technical and non-technical teams.
- 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.
For our complete EEO and Pay Transparency statement, please visit https://www.mclaneco.com/legal/employment/
See all 876+ H-1B Visa Business Intelligence Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa Business Intelligence Engineer Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Business Intelligence Engineer
Match your degree to the role
USCIS requires a direct relationship between your degree field and the BI Engineer role. A degree in computer science, information systems, statistics, or engineering supports the petition most cleanly. A business degree without a technical concentration can draw an RFE.
Look up LCA filings by occupation code
DOL classifies BI Engineer roles under SOC code 15-1211 or 15-1243 depending on the employer. Search Migrate Mate by occupation code to see which employers have active Labor Condition Application filings for BI roles before applying.
Target E-Verify enrolled employers early
If you're on OPT and need cap-gap protection, your employer must be enrolled in E-Verify. Confirm enrollment before your offer stage, not after, since switching employers during cap-gap is time-sensitive and can jeopardize your work authorization.
Verify the prevailing wage tier before negotiating
Use the OFLC Wage Search to check the Level I through Level IV prevailing wage for your job title and work location before salary discussions. Your offer must meet the certified LCA wage, so knowing the floor prevents late-stage complications.
Clarify which tools define the specialty occupation
USCIS evaluates whether the specific BI Engineer role genuinely requires a degree. Make sure your job description names tools like SQL, Tableau, Power BI, or Python, and that the employer can document why a bachelor's degree in a specific field is a minimum requirement.
Request premium processing if your start date is firm
Standard I-129 adjudication can run several months. If your employer has a hard start date tied to project timelines, ask during offer negotiation whether they'll pay for premium processing. USCIS guarantees a decision within 15 business days under that option.
H-1B Visa Business Intelligence Engineer: Frequently Asked Questions
Does a Business Intelligence Engineer role qualify as an H-1B specialty occupation?
Yes. USCIS treats BI Engineer positions as specialty occupations when the role requires at least a bachelor's degree in a directly related field such as computer science, information systems, or statistics. The employer's job description needs to document that a specific technical degree is a genuine minimum requirement, not just a preference, to withstand scrutiny.
Which employers sponsor H-1B visas for Business Intelligence Engineers?
Technology companies, financial services firms, healthcare systems, and large retailers are among the most active filers for BI Engineer roles. DOL Labor Condition Application disclosure data identifies which employers have filed for this occupation code by location and fiscal year. Migrate Mate surfaces that filing history so you can target sponsors before applying.
What happens to my H-1B if my BI Engineer role shifts to a different team or project?
A material change in job duties, work location, or employer entity can require an amended I-129 petition before the change takes effect. Moving to a new office in a different metropolitan area almost always triggers an LCA amendment. Confirm with your employer's immigration counsel whether your new assignment crosses that threshold, since working under an outdated LCA creates compliance risk.
Can I use O*NET data to support my H-1B specialty occupation argument?
O*NET classifications can reinforce the specialty occupation argument by documenting that the occupation typically requires a bachelor's degree and involves complex analytical tasks. Some employers include O*NET job zone data in their H-1B support letters. It's a useful supplement but not a substitute for employer documentation showing that the specific role requires the degree.
How do I know if a BI Engineer job posting is likely to come with H-1B sponsorship?
Postings that mention 'visa sponsorship available' or 'will sponsor' are explicit signals, but many sponsors don't advertise it upfront. Checking an employer's LCA filing history through DOL disclosure data is a more reliable method. Migrate Mate filters BI Engineer roles by verified sponsorship history so you're not wasting applications on employers who don't file.