OPT Business Intelligence Engineer Jobs
Business Intelligence Engineer jobs are a strong fit for F-1 OPT students with degrees in data science, computer science, information systems, or related fields. Most BI Engineer roles qualify as STEM OPT extensions, giving you up to 36 months of work authorization without H-1B visa sponsorship right away.
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BeaconFire is based in Central NJ, specializing in Software Development, Web Development, and Business Intelligence; looking for a strong agentic AI developer who can build and productionize Vertex AI–based RAG systems (Vertex AI Search / Vertex AI RAG patterns), design reliable tool-using agents, and work comfortably with vector databases and graph databases.
About the Role
You’ll own end-to-end delivery: ingestion, retrieval, agent orchestration, evaluation, and deployment.
Responsibilities
- Collaborate with the team to design and develop high quality Web applications using Python, Flask, Django, and related technologies.
- Write clean and efficient code, and ensure code maintainability and reusability.
- Design and implement RAG pipelines on Google Cloud / Vertex AI (chunking, embeddings, indexing, retrieval, reranking, grounding).
- Build agentic workflows (tool use, planning, reflection/guardrails, structured outputs) using Python-first frameworks.
- Perform code reviews to ensure code quality and consistency.
- Conduct testing to ensure application quality and reliability.
- Create and maintain technical documentation for web applications.
- Participate in project planning, estimation, and prioritization.
- Stay up to date with the latest technologies for Python development.
- Define and run evaluation (retrieval metrics, answer quality, hallucination/grounding checks), and improve system quality iteratively.
- Ship to production: APIs, monitoring/observability, cost/performance optimization, CI/CD, and security best practices.
Qualifications
- Experience in software development in Python3.
- Decent understanding of the software development/testing life cycle.
- Knowledge of relational databases (e.g. MySQL, PostgreSQL, etc).
- Experience with version control tools, such as Git.
- Experience building RAG solutions (hybrid search, reranking, chunking strategies, embeddings, prompt + schema design).
- Familiar with at least one agentic framework (e.g., LangGraph/LangChain, LlamaIndex, Semantic Kernel, AutoGen) and tool/function calling patterns.
- Solid knowledge of vector search concepts and at least one vector DB in production.
- Strong engineering practices: code reviews, testing, telemetry, secure-by-design, reliability mindset.
Preferred Skills
- Master’s Degree in Computer Science, Software Engineering, or related field.
- 1+ year professional experience in Python web application development with either Flask or Django.
- Experience in RESTful API development in Python.
- Understanding of Python web application frameworks such as Flask or Django.
- Experience with Cloud services, such as AWS.
- Experience with Vertex AI and GCP fundamentals (IAM, logging/monitoring, CloudRun/GKE, storage).
- Knowledge graphs for RAG (entity linking, graph traversal + retrieval fusion).
- Streaming/messaging (Pub/Sub, Kafka), document pipelines (Document AI), and multilingual retrieval.
- Experience with evaluation tooling (RAGAS, TruLens, custom eval harnesses), prompt/version management.
- Frontend integration (basic React/Next.js) or platform enablement (internal developer tooling).
Pay range and compensation package
BeaconFire is an E-verified company and provides equal employment opportunities (visa sponsorship provided).
Equal Opportunity Statement
BeaconFire is committed to diversity and inclusivity.
About the Company
BeaconFire is based in Central NJ, specializing in Software Development, Web Development, and Business Intelligence; looking for a strong agentic AI developer who can build and productionize Vertex AI–based RAG systems (Vertex AI Search / Vertex AI RAG patterns), design reliable tool-using agents, and work comfortably with vector databases and graph databases.
About the Role
You’ll own end-to-end delivery: ingestion, retrieval, agent orchestration, evaluation, and deployment.
Responsibilities
- Collaborate with the team to design and develop high quality Web applications using Python, Flask, Django, and related technologies.
- Write clean and efficient code, and ensure code maintainability and reusability.
- Design and implement RAG pipelines on Google Cloud / Vertex AI (chunking, embeddings, indexing, retrieval, reranking, grounding).
- Build agentic workflows (tool use, planning, reflection/guardrails, structured outputs) using Python-first frameworks.
- Perform code reviews to ensure code quality and consistency.
- Conduct testing to ensure application quality and reliability.
- Create and maintain technical documentation for web applications.
- Participate in project planning, estimation, and prioritization.
- Stay up to date with the latest technologies for Python development.
- Define and run evaluation (retrieval metrics, answer quality, hallucination/grounding checks), and improve system quality iteratively.
- Ship to production: APIs, monitoring/observability, cost/performance optimization, CI/CD, and security best practices.
Qualifications
- Experience in software development in Python3.
- Decent understanding of the software development/testing life cycle.
- Knowledge of relational databases (e.g. MySQL, PostgreSQL, etc).
- Experience with version control tools, such as Git.
- Experience building RAG solutions (hybrid search, reranking, chunking strategies, embeddings, prompt + schema design).
- Familiar with at least one agentic framework (e.g., LangGraph/LangChain, LlamaIndex, Semantic Kernel, AutoGen) and tool/function calling patterns.
- Solid knowledge of vector search concepts and at least one vector DB in production.
- Strong engineering practices: code reviews, testing, telemetry, secure-by-design, reliability mindset.
Preferred Skills
- Master’s Degree in Computer Science, Software Engineering, or related field.
- 1+ year professional experience in Python web application development with either Flask or Django.
- Experience in RESTful API development in Python.
- Understanding of Python web application frameworks such as Flask or Django.
- Experience with Cloud services, such as AWS.
- Experience with Vertex AI and GCP fundamentals (IAM, logging/monitoring, CloudRun/GKE, storage).
- Knowledge graphs for RAG (entity linking, graph traversal + retrieval fusion).
- Streaming/messaging (Pub/Sub, Kafka), document pipelines (Document AI), and multilingual retrieval.
- Experience with evaluation tooling (RAGAS, TruLens, custom eval harnesses), prompt/version management.
- Frontend integration (basic React/Next.js) or platform enablement (internal developer tooling).
Pay range and compensation package
BeaconFire is an E-verified company and provides equal employment opportunities (visa sponsorship provided).
Equal Opportunity Statement
BeaconFire is committed to diversity and inclusivity.
See all 828+ OPT Business Intelligence Engineer Jobs
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Get Access To All JobsTips for Finding OPT Sponsorship as a Business Intelligence Engineer
Target companies with active data infrastructure investments
Companies scaling their analytics or data warehouse functions are more likely to sponsor. Look for organizations migrating to cloud platforms like Snowflake or BigQuery, as those projects typically require sustained BI engineering headcount beyond a single OPT cycle.
Confirm your degree qualifies for STEM OPT extension
BI Engineer roles almost always qualify for the 24-month STEM OPT extension, but only if your degree is on the STEM designated degree list. Computer science, data science, and information systems typically qualify. Confirm with your DSO before accepting an offer.
Lead with your technical stack, not just your job title
Employers evaluating OPT candidates want to see immediate productivity. Highlight proficiency in SQL, dbt, Looker, Tableau, or whichever tools the job description emphasizes. Specificity signals you can contribute from day one without a long ramp-up period.
Understand the E-Verify requirement before you apply
To hire OPT students, employers must be enrolled in E-Verify. Ask recruiters early in the process whether the company participates. Filtering for E-Verify employers upfront saves time and avoids offers that fall through at the background check stage.
Frame your H-1B sponsorship conversation around timing, not uncertainty
Bring up H-1B visa sponsorship after you have demonstrated value, ideally once you have an offer. Frame it as a timeline discussion: your STEM OPT runs through a specific date, giving the employer a clear window to initiate the sponsorship process alongside your regular work.
Build a portfolio of BI projects that show business impact
Hiring managers for BI roles want evidence you can translate data into decisions, not just write queries. A portfolio showing dashboards you built, metrics you owned, or reporting pipelines you improved gives you credibility that a resume alone cannot provide.
Business Intelligence Engineer OPT: Frequently Asked Questions
Do Business Intelligence Engineer jobs qualify for the STEM OPT extension?
Yes, Business Intelligence Engineer roles almost always qualify for the 24-month STEM OPT extension, bringing your total OPT work authorization to 36 months. Qualification depends on your degree being on the STEM designated degree list, not the job title itself. Degrees in computer science, data science, information systems, and statistics are the most common qualifying fields for BI engineering roles.
How do I find Business Intelligence Engineer jobs that sponsor OPT students?
Migrate Mate filters job listings specifically for employers who sponsor F-1 OPT students, so you are not wasting applications on companies that cannot hire you. BI Engineer roles are well-represented among sponsoring employers, particularly at mid-size technology companies, financial services firms, and healthcare organizations with active data teams.
What does a Business Intelligence Engineer typically do, and does it require a specific degree?
Business Intelligence Engineers design and maintain data pipelines, dashboards, and reporting systems that help organizations make data-driven decisions. Most employers require a bachelor's degree or higher in computer science, information systems, data science, or a related technical field. That degree requirement is also what makes the role eligible for STEM OPT and, eventually, H-1B sponsorship as a specialty occupation.
Can I work as a Business Intelligence Engineer on OPT if my degree is in a non-technical field?
It depends on how closely your degree relates to the role. USCIS and employers expect a direct connection between your field of study and the job duties. If your degree is in business analytics or a quantitative discipline, you may still qualify. However, a degree with no data or technical component creates both an OPT authorization risk and a STEM extension ineligibility problem. Confirm your situation with your DSO.
How early should I start applying for Business Intelligence Engineer jobs before my OPT start date?
Start applying at least three to four months before your OPT start date. Most employers will not make an offer contingent on a future authorization date more than 90 days out, so timing your applications carefully matters. You can begin your OPT application with USCIS up to 90 days before your program end date, which gives you a clear window to align job applications with your expected authorization.