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Big Data Engineer Intern Jobs in Florida (NOW HIRING)

Big Data Engineer

Tampa, FL · On-site

$52.75 - $69.75/hr

Big Data Engineer City :Tampa State :FL : TOP REQUIREMENTS: Big Data (Spark, Scala, Hive, Hadoop Ecosystem) Data Streaming (Kafka) Responsibilities * Building and supporting a cloud based analytical ...

Big Data Engineer

Tampa, FL · On-site

$52.75 - $69.75/hr

Knowledge in Big data tools like Spark, HiveQL is desirable. Ability to effectively use complex analytical, interpretive and problem solving techniques. Analytical, flexible, team-oriented and has ...

Big Data Systems Engineer Belong, Connect, Grow, with KBR! KBR's National Security Solutions (NSS) team provides high-end engineering and advanced technology solutions to our customers in the ...

Big Data Systems Engineer Belong, Connect, Grow, with KBR! KBR's National Security Solutions (NSS) team provides high-end engineering and advanced technology solutions to our customers in the ...

Big Data Systems Engineer Belong, Connect, Grow, with KBR! KBR's National Security Solutions (NSS) team provides high-end engineering and advanced technology solutions to our customers in the ...

Data Engineer

Aventura, FL · On-site

$109K - $131K/yr

We are seeking an experienced Data Engineer to lead the design, development, and optimization of ... The ideal candidate has a strong background in ETL, big data technologies, and cloud services, with ...

Data Engineer

Aventura, FL · On-site

$109K - $131K/yr

We are seeking an experienced Data Engineer to lead the design, development, and optimization of ... The ideal candidate has a strong background in ETL, big data technologies, and cloud services, with ...

Cloud Big Data Engineer

Tampa, FL · On-site

$52.75 - $70.50/hr

The candidate will have the traditional skillset of a hands on SQL Server Data Architect/Engineer but will also need to apply these skills to other Cloud Data Services such as Azure Document DB ...

Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

Data Engineer - MEM SQL Location: New Jersey / Irving, TX / Tampa, FL We are looking for an ... Knowledge of Big Data technologies (Spark, Kafka, etc.) * Telecom domain experience (preferred, not ...

Bigdata Engineer with GCP

Sunrise, FL · On-site

$109K - $131K/yr

Role Overview We are looking for a skilled Big Data Engineer with strong experience on Google Cloud Platform (GCP) to design, build, and optimize large-scale data processing systems. The ideal ...

Big Data Architect

Fort Myers, FL · On-site

$59.50 - $76.50/hr

... engineer and architect across domains Past hands on experience with open source Big data technologies - Spark, HBase, Hadoop, MapR and Map/Reduce, Pig, Hive OR exposure to commercial platform Big ...

The Engineer Intern will keep a Log of Plans and Specification or other data received from the Owner/Engineer. * Must require the Engineer to clearly identify on the revised plans all changes to the ...

Data Engineer (AI-focused)

Miami, FL · On-site

$90K - $110K/yr

Data Engineer (AI-focused) We work with teams building data foundations for AI-and we're looking to ... Experience with ETL/ELT pipelines and big data tools * Familiarity with data requirements for ML/AI ...

Sr Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

Tampa, FL Duration: 8+ Months • Data Management -BigQuery big data hive GCP components • In this role, you will be part of Trane Technologies' Data Engineering team, providing solutions and data ...

Data Engineer

Hurlburt Field, FL

$104K - $125K/yr

Role This Data Engineer supports Air Force Special Operations Command (AFSOC) at Hurlburt Field ... big data infrastructure. Create and maintain optimal data pipeline architecture. * Build and ...

Role This Data Engineer directly supports the Air Force Special Operations Command based at ... big data infrastructure. Create and maintain optimal data pipeline architecture. * Build and ...

Data Engineer

Hurlburt Field, FL

$104K - $125K/yr

Role This Data Engineer supports Air Force Special Operations Command (AFSOC) at Hurlburt Field ... big data infrastructure. Create and maintain optimal data pipeline architecture. * Build and ...

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Big Data Engineer Intern information

What are the key skills and qualifications needed to thrive as a Big Data Engineer Intern, and why are they important?

To thrive as a Big Data Engineer Intern, you need a solid understanding of programming (especially Python, Java, or Scala), data structures, and basic knowledge of distributed computing concepts, typically supported by coursework or relevant projects. Familiarity with big data tools like Hadoop, Spark, and data querying languages such as SQL, as well as exposure to cloud platforms like AWS or Azure, is highly valuable. Strong analytical thinking, problem-solving abilities, and communication skills help interns collaborate effectively and learn quickly in dynamic environments. These skills and qualities are crucial for handling large-scale datasets and supporting the development of data-driven solutions within engineering teams.

What does a Big Data Engineer Intern do?

A Big Data Engineer Intern assists with designing, building, and maintaining large-scale data processing systems. They often work with technologies such as Hadoop, Spark, and SQL to manage and analyze large datasets. Interns may help develop data pipelines, clean and organize data, and support senior engineers in optimizing data workflows. This role provides hands-on experience in handling big data tools and working on real-world data engineering projects.

What is the difference between Big Data Engineer Intern vs Data Engineer?

AspectBig Data Engineer InternData Engineer
CredentialsRelevant coursework, some internshipsBachelor's or master's in CS, experience preferred
Work EnvironmentInternship, learning-focused, entry-level projectsFull-time, professional projects, team collaboration
Industry UsageTech, finance, healthcare, startupsSame industries, more responsibility
Search & Comparison IntentEntry-level, internship opportunitiesCareer advancement, full-time roles

The main difference between a Big Data Engineer Intern and a Data Engineer is experience level and responsibility. Interns are typically students or early learners gaining exposure, while Data Engineers are full-time professionals managing complex data systems. Internships serve as stepping stones toward full-time data engineering careers.

What are some common challenges a Big Data Engineer Intern might face when working with large datasets?

As a Big Data Engineer Intern, you'll often encounter challenges related to managing the scale and complexity of massive datasets. These can include optimizing data ingestion pipelines for speed and efficiency, troubleshooting data quality issues, and ensuring data privacy and security. Additionally, you may need to quickly learn new tools or frameworks, such as Hadoop or Spark, and collaborate closely with data scientists and engineers to ensure data is structured and accessible for analysis. Developing problem-solving skills and being proactive in seeking help from your team can help you overcome these hurdles.
What are the most commonly searched types of Big Data Engineer jobs in Florida? The most popular types of Big Data Engineer jobs in Florida are:
What cities in Florida are hiring for Big Data Engineer Intern jobs? Cities in Florida with the most Big Data Engineer Intern job openings:

$52.75 - $69.75/hr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Big Data Engineer
City :Tampa
State :FL
Job Description :
TOP REQUIREMENTS:
Big Data (Spark, Scala, Hive, Hadoop Ecosystem)
Data Streaming (Kafka)
Responsibilities
  • Building and supporting a cloud based analytical platform for complex data systems.
  • Document technical applications, specifications, and enhancements.
  • Collaborate with business and technical stakeholders while defining solutions.
  • Collaborate with the data scientists to organize huge sets of data for data modeling.
  • Recommend ways to improve data reliability, quality and efficiency.
  • Lead engineers in making sound, sustainable, and practical technical decisions.
  • Foster high-performance, collaborative technical work resulting in high-quality output.
  • Compile and present key findings and reports to all levels of the organization, including senior leadership.

What skills/attributes are a must have?
  • 5+ years of experience with Big Data (HDFS, MapReduce, Hive, HBase, Pig, Sqoop, Spark, Scala).
  • Experience building and optimizing data pipelines, architectures and data sets.
  • Experience with data modelling, data management and ETL tools like Kafka Connect, Informatica etc.
  • Experience building and deploying applications to the cloud (AWS, Azure, etc.).
  • Experience working in an Agile environment.
  • Expertise with modern programming languages, systems, and architectures.

What skills/attributes are nice to have?
  • BA/BS degree in Computer Science or equivalent experience.
  • Experience with the use of containers such as Kubernetes and Docker.
  • Experience with DevOps, Continuous Integration, and Continuous Delivery.
  • Expertise in performance and scalability optimization.
  • Knowledge of software and infrastructure security practices.