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Hiring Opt Student For Data Engineer Jobs in Rochester, NY

Varsity Tutors

Data Analysis Tutor

Rochester, NY · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Analysis tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

Pwc

AI & GenAI Data Scientist - Manager

Rochester, NY · On-site

$99K - $232K/yr

In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy ... for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance ...

StateJobsNY

Student Assistant Region 4

Pittsford, NY · On-site

$20.70/hr

For new State employees appointed into graded positions, the annual salary is the hiring rate ... OPT STEM, or for permanent residence. Offers of permanent employment may not be made to ...

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Hiring Opt Student For Data Engineer information

See Rochester, NY salary details

$43.9K

$128K

$175.1K

How much do hiring opt student for data engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for hiring opt student for data engineer in Rochester, NY is $127,987.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,000.00 and $135,700.00 per year, depending on experience, location, and employer.

What is a data engineer hired under OPT?

A Data Engineer hired under OPT (Optional Practical Training) is an international student in the U.S. on an F-1 visa who has completed or is pursuing their degree and is authorized to work in their field of study. As a Data Engineer, their primary role is to design, build, and maintain the infrastructure and tools needed to collect, store, and analyze large datasets. They work with technologies such as SQL, Python, and big data frameworks to ensure data is accessible and reliable for analytics and business intelligence. OPT allows these students to gain practical experience relevant to their academic background.

What kinds of projects and responsibilities can an OPT student expect when starting as a data engineer?

As an OPT student beginning a Data Engineer role, you can expect to work on projects involving data collection, ETL (Extract, Transform, Load) pipeline development, and database management. Early responsibilities often include supporting senior engineers with data cleaning, designing data models, and collaborating with data analysts and software developers to ensure reliable and accessible data infrastructure. You'll likely use tools such as SQL, Python, and cloud platforms, and participate in team meetings to discuss project goals and troubleshoot data-related challenges. This hands-on experience provides a strong foundation for future career growth in data engineering.

What are the key skills and qualifications needed to thrive as an OPT data engineer, and why are they important?

To excel as an OPT Data Engineer, you need a solid background in computer science, programming (especially Python or Java), and experience with database systems, often supported by a relevant degree. Familiarity with big data tools (like Hadoop or Spark), cloud platforms (AWS, Azure, or GCP), and data pipeline technologies is typically required. Strong problem-solving skills, attention to detail, and effective communication help you stand out in this role. These skills enable efficient data processing and collaboration, which are essential for building reliable, scalable data solutions in a fast-paced environment.

What is the difference between Hiring Opt Student For Data Engineer vs Data Analyst?

AspectHiring Opt Student For Data EngineerData Analyst
Required CredentialsRelevant coursework, basic programming skills, possibly some certifications in data toolsStatistical knowledge, data visualization skills, often a degree in statistics, mathematics, or related fields
Work EnvironmentTechnical teams, data engineering projects, cloud platformsBusiness units, reporting, data interpretation tasks
Employer & Industry UsageTech companies, startups, organizations with data infrastructure needsFinance, marketing, healthcare, and other sectors analyzing data for insights

Hiring Opt Student For Data Engineer roles focus on technical skills like programming and data infrastructure, while Data Analysts emphasize statistical and visualization skills. Both roles support data-driven decision-making but differ in technical depth and project scope.

Are Hiring Opt Students for Data Engineer roles still in demand?

Data Engineer roles, including those suitable for OPT students, remain in demand due to the growing need for data infrastructure and analytics across industries. Skills in SQL, Python, cloud platforms, and data pipeline tools like Apache Spark are highly valued, and employers often seek candidates with relevant internships or project experience. However, competition can vary based on location and market conditions.

Can I get a hiring opt student for data engineer job with no experience?

Hiring for data engineer positions often requires relevant skills such as programming, data modeling, and familiarity with tools like SQL and Python. While some entry-level roles may consider students with no experience if they demonstrate strong technical aptitude and willingness to learn, most positions prefer candidates with some practical knowledge or internships.

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For Hiring Opt Student For Data Engineer jobs in Rochester, NY, the most frequently searched job titles are:

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Cities near Rochester, NY with the most Hiring Opt Student For Data Engineer job openings:

Hiring Opt Student For Data Engineer jobs near you

Cloud Engineer- Data/AI Focused

Innovative Solutions

Rochester, NY • On-site

$113K - $135K/yr

Full-time

Re-posted 11 hours ago

Job description

Job Summary:
Innovative Solutions is seeking a Cloud Engineer with a focus on Data and AI. The role involves building and deploying data pipelines and generative AI solutions on AWS, working directly with clients to deliver secure and scalable data and AI solutions.
Responsibilities:
• Implementing data pipelines using AWS services such as Glue, Lambda, Step Functions, and EMR
• Creating and maintaining data extraction, transformation, and loading processes
• Configuring and optimizing AWS database services including RDS, Aurora, Redshift, and DynamoDB
• Implementing data lakes using S3 and related AWS services
• Designing and building production-ready Generative AI applications using Amazon Bedrock and foundation models such as Anthropic Claude
• Building and optimizing RAG (Retrieval-Augmented Generation) pipelines with vector databases
• Developing AI agents and multi-agent orchestration systems using frameworks like LangChain or LlamaIndex
• Writing and testing SQL queries and stored procedures
• Documenting technical solutions and providing knowledge transfer to customers
• Supporting the implementation of data governance and security controls
• Troubleshooting and resolving issues with data pipelines and AI services
• Participating in code reviews and implementing feedback
• Assisting with proof-of-concept implementations for customer engagements
Qualifications:
Required:
• 5+ years of software engineering experience with at least 2+ years focused on AI/ML, data engineering, or cloud-native development
• 2+ years of hands-on AWS experience with production deployments
• 1+ years of direct Generative AI experience (LLMs, embeddings, RAG, agents)
• Proven track record delivering production AI applications from concept to deployment
• Strong understanding of software engineering best practices (version control, testing, code review, documentation)
• Experience working in agile/scrum environments with distributed teams
• Excellent problem-solving skills and ability to work independently with minimal supervision
• Strong written and verbal communication skills for client-facing interactions
Preferred:
• Technical familiarity with AWS data and AI/ML services and modern data engineering practices
• Hands-on experience with ETL/ELT processes and data transformation
• Exposure to Generative AI concepts including LLMs, embeddings, RAG, and agent frameworks
• Ability to write and optimize SQL queries across various database platforms
• Knowledge of data modeling concepts and best practices
• Strong analytical and problem-solving skills
• Eagerness to learn new technologies and keep up with cloud and AI innovations
• Excellent communication skills with the ability to explain technical concepts clearly
• Attention to detail and commitment to solution quality
• Collaborative mindset with strong teamwork capabilities
• Experience or interest in automation and infrastructure as code
Company:
Innovative Solutions is an IT company that specializes in software development, mobile app development, and game development. Founded in 2009, the company is headquartered in Karachi, PAK, with a team of 51-200 employees. The company is currently Growth Stage.

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