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Big Data Engineer Intern Jobs in Ohio (NOW HIRING)

Skanska USA

Project Engineer Intern

Cincinnati, OH · On-site

$20 - $23/hr

Job Overview Skanska is searching for a dynamic Project Engineering Intern. This is a great ... big milestones and in your everyday life. Please visit the compensation and Benefits summary on our ...

Skanska USA

Project Engineer Intern

Cincinnati, OH

$20 - $23/hr

Job Overview Skanska is searching for a dynamic Project Engineering Intern. This is a great ... big milestones and in your everyday life. Please visit the compensation and Benefits summary on our ...

Flexjet

AI Data Engineer

Cleveland, OH · On-site

$111K - $133K/yr

POSITION SUMMARY Flexjet is seeking a detail-oriented AI Data Engineer to build and maintain data ... big data technologies (e.g., Apache Spark, Kafka, Hadoop) Experience with data pipeline ...

Flexjet

AI Data Engineer

Cleveland, OH

$111K - $133K/yr

POSITION SUMMARY Flexjet is seeking a detail-oriented AI Data Engineer to build and maintain data ... big data technologies (e.g., Apache Spark, Kafka, Hadoop) Experience with data pipeline ...

UIC

Manufacturing Engineer Intern

Sharonville, OH · On-site

$15.50 - $20/hr

The Manufacturing Engineering Intern will support the Manufacturing Engineering team in developing ... with data collection, analysis, and documentation related to production methods, cycle times ...

Flexjet

AI Data Engineer

Cleveland, OH · On-site

$111K - $133K/yr

POSITION SUMMARY Flexjet is seeking a detail-oriented AI Data Engineer to build and maintain data ... big data technologies (e.g., Apache Spark, Kafka, Hadoop) · Experience with data pipeline ...

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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 cities in Ohio are hiring for Big Data Engineer Intern jobs?

Cities in Ohio with the most Big Data Engineer Intern job openings:

Big Data Engineer Intern jobs near you

Big Data with Scala

Avani Technology Solutions, Inc.

Columbus, OH • On-site

$54 - $71.25/hr

Full-time

Re-posted 26 days ago

Job description

Please find the requirement below. let me know your interest with Updated resume
Top Three Skills:
1. SCALA Developer who has used Spark, and has a strong understanding of Kafka ... ***will consider strong JAVA
2. Data Engineering - moving data from source systems (SAP, WMS, Order Mgt., Oracle/DB2). This person would also need to engineer and stage it.
3. Hadoop - on prem., MapR distribution (would also look at experience w/HortonWorks or Cloudera)
4. Experience pulling data from Supply Chain systems
Job Description:
L Brands is looking for a Big Data Engineer responsible for supporting Big Data analytics. Work closely with business partners to translate complex functional and technical requirements into high performing Big Data systems. Work on multiple projects as a technical lead
to develop, test, and deliver Big Data solutions.
Additional Information:
-Conducts logical and physical database design
-Identifies unique opportunities to collect new data.
-Designs ETL processes and data pipelines to build large, complex data sets.
-Strategizes new uses for data and its interaction with data design.
-Finds new uses for existing data sources.
-Conducts statistical modeling and experiment design.
-Discovers "stories" told by the data and presents them to business partners
-Tests and validates predictive models.
-Builds data visualization prototypes.
-Implements automated processes for efficiently producing scale models.
-Designs, modifies and builds new dataprocesses.
-Implement, configure, administer, monitor Hadoop clusters
-Implements new or enhanced software designed to access and handle data more efficiently.
-Prepare and communicate status, issues, and opportunities to the business.
-Provides technical assistance to junior team members
-Create, refine and enforce data management standards, policies, and procedures.
-Evaluates emerging Big Data technologies to develops next-generation Big Data analytics framework
-Responsible for problem escalation to appropriate L Brands teams and third parties as appropriate.
-Provide 24x7 on-call support
Authority:
-Recommend expenditures as required to meet Big Data support requirements.
-Recommend the initiation of Big Data support activities and projects .
-Recommend Big Data standards/directions/technologies.
Qualifications:
Required:
-4 year degree in Information Systems or an equivalent combination of course work
and job experience
-4-6 years experience with Big Data technologies and analytics

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