Data Engineer Jobs at Tiger Analytics with Visa Sponsorship
Tiger Analytics builds its data engineering practice around consulting engagements across industries, so Data Engineer roles here involve production pipelines, cloud infrastructure, and client-facing delivery. The company sponsors multiple visa types for this function, making it a realistic target if you need employer support to work in the U.S.
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Get Access To All JobsINTRODUCTION
Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world. We are seeking an experienced Data Engineer to join our data team. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines, data integration processes, and data infrastructure on AWS cloud. You will collaborate closely with data scientists, analysts, and AI teams to support analytics, machine learning, and Generative AI initiatives across the organization.
ROLE AND RESPONSIBILITIES
Key Responsibilities
- Design, develop, and deploy end-to-end data pipelines on AWS cloud infrastructure using services such as Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, etc.
- Implement data processing and transformation workflows using Databricks, Apache Spark, and SQL to support analytics, reporting, and AI-driven use cases.
- Build and maintain orchestration workflows using Apache Airflow to automate data pipeline execution, scheduling, and monitoring.
- Support data preparation and ingestion for AI/ML and Generative AI workloads, including handling structured and unstructured datasets.
- Enable data pipelines that support LLM-based applications, vector embeddings, and knowledge retrieval systems.
- Lead the migration of legacy data systems to modern cloud-based data architectures.
- Develop and maintain CI/CD pipelines for data workflows and platform automation.
- Collaborate with data scientists, ML engineers, and AI teams to ensure data availability for model training, inference, and GenAI applications.
- Optimize data pipelines for performance, reliability, scalability, and cost-effectiveness using AWS best practices.
BASIC QUALIFICATIONS
Required Skills
- Strong experience as a Data Engineer working with AWS cloud services.
- Hands-on experience with AWS services such as S3, Glue, Lambda, Redshift, and related data platform tools.
- Experience building data pipelines using Databricks, Apache Spark, and SQL.
- Experience with Apache Airflow for workflow orchestration.
- Strong understanding of data modeling, data lake/lakehouse architectures, and ETL/ELT frameworks.
- Experience with CI/CD pipelines and version control systems (Git).
- Exposure to Generative AI or LLM-based applications.
- Experience supporting data pipelines for AI/ML workloads.
- Familiarity with vector databases, embeddings, and Retrieval-Augmented Generation (RAG) architectures.
- Experience working with LLM APIs or AI frameworks such as LangChain.
- Understanding of MLOps workflows and model deployment pipelines.
BENEFITS
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
INTRODUCTION
Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world. We are seeking an experienced Data Engineer to join our data team. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines, data integration processes, and data infrastructure on AWS cloud. You will collaborate closely with data scientists, analysts, and AI teams to support analytics, machine learning, and Generative AI initiatives across the organization.
ROLE AND RESPONSIBILITIES
Key Responsibilities
- Design, develop, and deploy end-to-end data pipelines on AWS cloud infrastructure using services such as Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, etc.
- Implement data processing and transformation workflows using Databricks, Apache Spark, and SQL to support analytics, reporting, and AI-driven use cases.
- Build and maintain orchestration workflows using Apache Airflow to automate data pipeline execution, scheduling, and monitoring.
- Support data preparation and ingestion for AI/ML and Generative AI workloads, including handling structured and unstructured datasets.
- Enable data pipelines that support LLM-based applications, vector embeddings, and knowledge retrieval systems.
- Lead the migration of legacy data systems to modern cloud-based data architectures.
- Develop and maintain CI/CD pipelines for data workflows and platform automation.
- Collaborate with data scientists, ML engineers, and AI teams to ensure data availability for model training, inference, and GenAI applications.
- Optimize data pipelines for performance, reliability, scalability, and cost-effectiveness using AWS best practices.
BASIC QUALIFICATIONS
Required Skills
- Strong experience as a Data Engineer working with AWS cloud services.
- Hands-on experience with AWS services such as S3, Glue, Lambda, Redshift, and related data platform tools.
- Experience building data pipelines using Databricks, Apache Spark, and SQL.
- Experience with Apache Airflow for workflow orchestration.
- Strong understanding of data modeling, data lake/lakehouse architectures, and ETL/ELT frameworks.
- Experience with CI/CD pipelines and version control systems (Git).
- Exposure to Generative AI or LLM-based applications.
- Experience supporting data pipelines for AI/ML workloads.
- Familiarity with vector databases, embeddings, and Retrieval-Augmented Generation (RAG) architectures.
- Experience working with LLM APIs or AI frameworks such as LangChain.
- Understanding of MLOps workflows and model deployment pipelines.
BENEFITS
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
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Get Access To All JobsTips for Finding Data Engineer Jobs at Tiger Analytics Jobs
Align your portfolio with consulting delivery patterns
Tiger Analytics data engineers work across client engagements, not a single internal stack. Build project examples that show you can stand up pipelines quickly in new environments using tools like Spark, Airflow, and cloud-native services on AWS or Azure.
Verify your OPT or CPT timeline before applying
F-1 students have a 60-day grace period after program end, and OPT authorization takes time to process through USCIS. Map your graduation date against Tiger Analytics hiring cycles so your work authorization is active before an offer converts to a start date.
Target roles using verified sponsorship data on Migrate Mate
Search Data Engineer openings at Tiger Analytics on Migrate Mate to filter by visa type and confirm active listings. It surfaces roles where sponsorship is confirmed, saving you time you'd otherwise spend cold-applying to positions without verified support.
Prepare credentials for specialty occupation documentation
USCIS requires the petitioning employer to demonstrate that Data Engineer roles qualify as specialty occupations. A degree in computer science, information systems, or a closely related field strengthens your petition. Gather official transcripts and, if your degree is foreign, a credential evaluation early.
Understand how PERM shapes EB-2 and EB-3 timelines
Tiger Analytics sponsors EB-2 and EB-3 green cards for this role, but both paths require DOL PERM labor certification first. PERM processing currently runs over a year before the I-140 petition stage, so raise green card interest during offer negotiation, not after.
Data Engineer at Tiger Analytics jobs are hiring across the US. Find yours.
Find Data Engineer at Tiger Analytics JobsFrequently Asked Questions
Does Tiger Analytics sponsor H-1B visas for Data Engineers?
Yes, Tiger Analytics sponsors H-1B visas for Data Engineer roles. As a consulting firm, they have established processes for cap-subject petitions filed in the April USCIS lottery window as well as cap-exempt situations. If you're on F-1 OPT, the transition from OPT to H-1B is the most common path, so confirm the timing with your recruiter early in the offer process.
How do I apply for Data Engineer jobs at Tiger Analytics?
You can browse and apply for Data Engineer positions at Tiger Analytics directly through Migrate Mate, which lists their open roles with visa sponsorship details confirmed. Tiger Analytics typically screens for hands-on experience with data pipeline tools, cloud platforms, and distributed processing frameworks, so tailor your resume to reflect production-level project work before applying.
Which visa types does Tiger Analytics commonly use for Data Engineer roles?
Tiger Analytics sponsors H-1B, F-1 OPT, F-1 CPT, TN, EB-2, and EB-3 for Data Engineer positions. F-1 OPT and CPT cover students and recent graduates in the short term. TN is available to Canadian and Mexican nationals with qualifying degrees. EB-2 and EB-3 are the permanent residence routes, both requiring DOL PERM labor certification before the I-140 petition.
What qualifications does Tiger Analytics expect from Data Engineer candidates?
Tiger Analytics data engineering roles are consultancy-facing, so they prioritize applied experience over theoretical knowledge. Expect screening around pipeline development with tools like Apache Spark, Airflow, or dbt, and cloud infrastructure on AWS, Azure, or GCP. A bachelor's degree in computer science, engineering, or a related field is standard for H-1B specialty occupation filings, and a master's degree strengthens EB-2 eligibility.
How long does the visa sponsorship process take for a Data Engineer role at Tiger Analytics?
Timeline depends on visa type. F-1 OPT can begin immediately if your EAD is active. H-1B cap-subject petitions are filed in April with an October 1 start date, meaning a gap of several months from offer to authorization. EB-2 and EB-3 green card paths involve DOL PERM certification, which currently takes over a year, followed by I-140 petition processing at USCIS before any adjustment of status.
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