1

Big Data Engineer Intern Jobs in Florida (NOW HIRING)

Senior Data Engineer

Miami, FL · On-site

$101K - $137K/yr

The Senior Data Engineer will play a key role in the design, development, and deployment of our ... Experience working with large-scale distributed systems and big data technologies, including Spark ...

Senior Data Engineer

Miami, FL · On-site

$101K - $137K/yr

The Senior Data Engineer will play a key role in the design, development, and deployment of our ... Experience working with large-scale distributed systems and big data technologies, including Spark ...

Azure Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

Intellisoft Technologies is seeking a proficient Azure Data Engineer to design, build, and maintain ... Intellisoft Technologies is an information technology company offering big data and clouding ...

Data Engineer

Doral, FL · On-site

$105K - $127K/yr

MANTECH seeks a motivated, career and customer-oriented Journeyman Data Engineer to join our team ... Hands-on experience with big data technologies and streaming frameworks (e.g., Apache Spark, Kafka)

Data Engineer

Doral, FL

$105K - $127K/yr

MANTECH seeks a motivated, career and customer-oriented Journeyman Data Engineer to join our team ... Hands-on experience with big data technologies and streaming frameworks (e.g., Apache Spark, Kafka)

Python Data Engineer

Tampa, FL

$108K - $129K/yr

Strong hands-on experience in Python for data engineering and application development. Extensive ... and big data technologies. Experience with Docker, Kubernetes, and CI/CD pipelinesHands-on ...

$4.3K - $4.8K/wk

FPGA Engineers work closely with business leaders to design and deploy FPGA solutions that help ... big ideas into real-world outcomes.

Showing results 41-60

Big Data Engineer Intern information

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 are the key skills and qualifications needed to thrive as a Big Data Engineer Intern?

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 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 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 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:

$106K - $128K/yr

Full-time

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


Job description

Job Posting Title: Lead Data Engineer - Solutioning Req ID: 10155496 Job Description: "We Power the Magic!" That's our motto at Disney Experiences Technology (DXT). Our team creates world-class immersive digital experiences for the Company's premier vacation brands including Disney's Parks & Resorts worldwide, Disney Cruise Line, Aulani, A Disney Resort & Spa, and Disney Vacation Club. The DXT team is responsible for the end-to-end digital and physical Guest experience for all technology & digital-led initiatives across the Attractions & Entertainment, Food & Beverage, Resorts & Transportation, and Merchandise lines of business as well as other initiatives including the MyDisneyExperience app and Hey, Disney! This role sits in the Data Products & Platform organization within Disney Experiences Technology (DXT). It works closely with Product Management, Data Architecture, and Data Engineering delivery teams from across the organization. The Lead Data Engineer - Solutioning will report to the Manager of Data Engineering Solutions. What You'll Do: Serve as the primary technical counterpart to Product Managers, engaging early in the intake process to assess feasibility, clarify scope, and identify data dependencies Translate business requirements and product requests into well-defined data solution briefs, including data sourcing strategy, transformation logic, and consumption patterns Partner with Data Architects to translate solution requirements into architectural patterns and data model designs that align with enterprise standards Engage in estimation and planning activities, providing sizing guidance and technical risk assessment for product intake requests Lead the design, construction, and management of technology architecture, solutions, and software aimed at gathering, managing, and using both structured and unstructured data from various sources Develop robust processes and structures to optimize data flow, routing, and storage, meticulously considering business and technical requirements, and deploying cloud and local storage solutions as necessary Use advanced technical tools and programming expertise to implement data cleansing, organization, transformation, and maintenance tasks, integrating automation and innovative methodologies like big data, artificial intelligence, and machine learning Define design standards and quality assurance procedures for software and systems development, ensuring seamless data compatibility, operability, and integrity across all data connections, transmissions, and storage systems Analyze internal and external business and product needs regarding data operations, suggesting adjustments and improvements to systems and storage to keep up with ongoing demands Help engage around the estimation and planning of highly sophisticated scalable projects and their budget allocations You will be expected to stay up to date with emerging technologies so you can make informed recommendations May be required to provide support escalation, coordinate the ongoing operations, and support the enhancement of existing tools as needed Required Qualifications: Minimum 7 years of related work experience Advanced development skills in cross-platform coding languages such as SQL, Python, Java, and Scala. SQL and scripting expertise for data extraction, transformation, and building performant datasets, with a focus on automation Extensive experience with relational databases and NoSQL databases (e.g., Snowflake, Databricks, Oracle, MongoDB, DynamoDB, Redis) Proficient in cloud technologies including AWS (e.g., Lambda, Kinesis, DMS, Managed Flink) and Google Cloud Platform (GCP) for data storage, processing, and analysis Comfortable working in an agile environment, collaborating with cross-functional teams, and adapting to changing requirements A visionary who motivates teams to excel and fosters creativity, consistently driving excellence in all endeavors Familiar with SQL, Python, cloud data platforms (AWS, Azure, or GCP), and modern data stack tools such as Snowflake, Databricks, Spark, Airflow, or dbt, with a desire to further develop technical expertise in data engineering tools, methodologies, and emerging technologies An advocate for a diverse and inclusive culture that encourages innovation and ensures every team member feels a sense of belonging Preferred Qualifications: Proven ability to lead technical solutioning sessions with cross-functional stakeholders, including Product Managers, Architects, and Engineering leads A collaborative, solutions-oriented mindset with a track record of driving clarity and momentum in ambiguous or complex delivery environments Strong understanding of data modeling concepts including dimensional modeling, data vault, and medallion/lake house architectures Demonstrated ability to bridge business and technical domains — translating product and stakeholder requirements into executable data engineering solutions Experience in a formal solutions engineering, technical product management, or data product owner capacity Familiarity with data governance, data quality frameworks, and metadata management platforms (e.g., Alation, Unity Catalog, Apache Atlas) Experience with data contract design and producer/consumer interface standards Required Education: Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience Preferred Education: Master's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience #DISNEYTECH #LI-AF2 The hiring range for this position in FL is $148,300.00-$198,800.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. Job Posting Segment: DX Technology Job Posting Primary Business: Emerging Tech & Data Job Posting Primary Job Posting Category: Data Engineering Employment Type: Full time Primary City, State, Region, Postal Code: Orlando, FL, USA Alternate City, State, Region, Postal Code: Date Posted: 2026-07-28 Learn more about us. #J-18808-Ljbffr