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Hiring Opt Student For Data Engineer Jobs in Florida

Stellar IT Group

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

Data Engineer ONSITE - Miami, FL 6+ Months Contract-to-Hire * Strong data experience is required ... Preference for candidates with experience supporting subscription-based business models. Experience ...

Phase2 Technology

Azure Data Engineer

Melbourne, FL · On-site

$62 - $141/hr

Work with us to use data for good. Join us. The world can't wait. You Have: * 3+ years of ... Identity Statement As part of the hiring process, we will ask you to complete an identity ...

Posted today

Disney Experiences

Lead Data Engineer

Orlando, FL · On-site

$148K - $198K/yr

Own the data engineering frameworks and capabilities for Orbit and Book of Work, defining how data ... The hiring range for this position in FL is $148,300 - $198,800 per year. The base pay actually ...

Disney Experiences Careers

Lead Data Engineer

Orlando, FL · On-site

$148K - $198K/yr

Own the data engineering frameworks and capabilities for Orbit and Book of Work, defining how data ... The hiring range for this position in FL is $148,300 - $198,800 per year. The base pay actually ...

Disney Experiences Careers

Lead Data Engineer

Orlando, FL · On-site

$148K - $198K/yr

Own the data engineering frameworks and capabilities for Orbit and Book of Work, defining how data ... The hiring range for this position in FL is $148,300 - $198,800 per year. The base pay actually ...

MSR Cosmos

Data Engineer with DynamoDB

Miami, FL · On-site

Role: Data Engineer Location: Miami, FL-Onsite Duration: Long Term Skills * Hands on data ... Expert level proficiency in Python for data processing, ETL development, and automation (PySpark)

Vaco LLC

Data Engineer/Data Architect

Hollywood, FL · On-site

Senior Data Engineer / Data Architect Location: Fort Lauderdale, FL Work Arrangement: Fully onsite ... future hiring for similarly qualified positions. EEO Notice Vaco by Highspring is an Equal ...

New

World Emblem Internatio

Data Engineer

Hollywood, FL · On-site

$190K/yr

The gap is dedicated ownership for the data that moves between them. Without a clear cross-system ... Engineering and Integration * Build and maintain reliable data pipelines connecting Business ...

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Hiring Opt Student For Data Engineer information

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.

What are popular job titles related to Hiring Opt Student For Data Engineer jobs in Florida?

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

What job categories do people searching Hiring Opt Student For Data Engineer jobs in Florida look for?

The top searched job categories for Hiring Opt Student For Data Engineer jobs in Florida are:

What cities in Florida are hiring for Hiring Opt Student For Data Engineer jobs?

Cities in Florida with the most Hiring Opt Student For Data Engineer job openings:

Hiring Opt Student For Data Engineer jobs near you
Infographic showing various Hiring Opt Student For Data Engineer job openings in Florida as of August 2026, with employment types broken down into 4% Internship, 92% Full Time, and 4% Contract. Highlights an 96% In-person, and 4% Remote job distribution.

Data Engineer

Stellar IT Group

Miami, FL • On-site

$109K - $131K/yr

Contractor

Re-posted 15 days ago

Job description

Overview:
Data Engineer
ONSITE - Miami, FL
6+ Months Contract-to-Hire
  • Strong data experience is required. Thorough hands-on experience with Salesforce is a must, and experience with BigQuery is also a mandatory requirement.
  • Preference for candidates with experience supporting subscription-based business models. Experience working with data related to recurring revenue, customer subscriptions, renewals, retention, and similar subscription-service metrics would be highly relevant.
  • MRR and ARR knowledge is a plus
  • RevCloud is a plus

Key Responsibilities
• Design, build, and maintain robust ELT/ETL pipelines ingesting data from Salesforce, HubSpot, Stripe, and other commercial systems into BigQuery.
• Manage and extend our Fivetran connector configurations; implement custom connectors where no off-the-shelf solution exists.
• Develop and maintain dbt models, tests, and documentation to ensure data quality and lineage transparency.
• Monitor pipeline health, set up alerting, and respond to incidents - keeping our data fresh and stakeholders informed.
• Work with the Senior Data Architect to implement data governance practices including cataloguing, data certification, and access controls.
• Optimize BigQuery tables for cost and query performance: partitioning, clustering, and materialization strategies.
• Collaborate with Analytics Engineers and Analysts to understand downstream data requirements and model data accordingly.
• Support infrastructure-as-code practices and contribute to CI/CD pipelines for data assets.
• Document data flows, dependencies, and pipeline architecture so the team has a clear picture of the data lake.
What You Bring
• 5+ years of experience in data engineering or a closely related role.
• Strong SQL and Python skills - comfortable building pipelines, writing transformation logic, and debugging production issues.
• Hands-on experience with BigQuery or another cloud data warehouse (Snowflake, Redshift, or similar).
• Experience with ELT/ETL tooling such as Fivetran, Airbyte, or custom pipeline frameworks.
• Proficiency with dbt (data build tool) for data transformation and testing.
• Experience with workflow orchestration tools such as Apache Airflow, Cloud Composer, or Prefect.
• Familiarity with GCP services (Cloud Storage, Pub/Sub, Cloud Functions) or equivalent AWS/Azure services.
• Strong understanding of data modeling concepts: star schema, slowly changing dimensions, normalization.
• Fluent in English (written and spoken).
Nice to Have
• Experience integrating Salesforce, HubSpot, or Stripe data sources specifically.
• Knowledge of data governance tools such as GCP Data Catalog or Dataplex.
• Experience with streaming pipelines (Pub/Sub, Kafka, or similar).
• Familiarity with Terraform or other infrastructure-as-code tools.
• Prior experience working in a Revenue Operations or go-to-market data context.
• Contribution to open-source data projects or dbt packages
Skills:
Salesforce,bigquery

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