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Big Data Engineer Intern Jobs in Minnesota (NOW HIRING)

Sr. Big Data Developer

Minneapolis, MN ยท On-site

$55.25 - $71.75/hr

Be it core Java, full-stack Java, Web/UI designers, Big Data or Cloud or Mobility developers/architects, we have them all. GC/CITIZEN can apply Qualifications: Experience in database development ...

Big Data/Scala Developer

Eagan, MN ยท On-site

$54 - $70/hr

Looking for developers capable of implementation of innovative solutions in our Big Data space will to collaborate within and across other TR teams. Qualifications Graduate Additional Information All ...

Sr. Big Data Developer

Minneapolis, MN ยท On-site

$55.25 - $71.75/hr

Skill Big Data Development Location Minneapolis, MN Total Experience 5 yrs. Max Salary Not Mentioned Employment Type Direct Jobs (Full Time) Domain Any Description GC/CITIZEN can apply Qualifications:

Data Engineer

Minneapolis, MN ยท On-site

$119K - $143K/yr

Data Engineer Richfield, MN 55423 (Local - Hybrid 2 Days/Week) 12+ Months Contract Project ... years) โ€ข Big Data (warehousing/processing concepts, performance)(5+ years) โ€ข Postgres (3+) ...

Your expertise in big data technologies, distributed systems, and cloud platforms will help shape the engineering roadmap and establish best practices for data processing, analytics, and real-time ...

... Big Data Platforms, Natural Language Processing, Data Engineering, Time Series Analysis, Linear and Non-linear Modeling, Data Mining, Optimization and Simulation and Data Engineering (Snowflake ...

Data Engineer

Minnetonka, MN ยท On-site +1

$63K - $124K/yr

Familiarity with big data platforms (Snowflake, AWS, GCP). * Ability to engineer data solutions using ETL tools or develop APIs as needed. * Bachelor's Degree or equivalent work experience. * Sound ...

Staff Engineer (e-ST)

Minneapolis, MN ยท On-site

$156 - $191/hr

Remain current with industry trends and emerging technologies in Big Data and data engineering and ... evaluate their potential impact on our data infrastructure and systems. Lead, mentor, and develop ...

Design, develop, and maintain data pipelines to handle large and complex data sets using Big Data ... Lead, mentor, and develop up and coming engineers. Engage in technology strategy and data ...

Staff Engineer (e-ST)

Minneapolis, MN ยท On-site +1

$173K/yr

Design, develop, and maintain data pipelines to handle large and complex data sets using Big Data ... Lead, mentor, and develop up and coming engineers. Engage in technology strategy and data ...

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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 are the most commonly searched types of Big Data Engineer jobs in Minnesota?

The most popular types of Big Data Engineer jobs in Minnesota are:

What cities in Minnesota are hiring for Big Data Engineer Intern jobs?

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

$56.75 - $75/hr

Full-time

Re-posted 26 days ago


Job description

POsition : Data Engineer
Location : Minnetonka, MN AND Raleigh, NC
Duration : 6 Months to hire
Experience and Required qualifications:
To be considered for this position, applicants need to meet the qualifications listed in this posting.
Required Qualifications:
โ€ข Bachelor's degree
โ€ข A passion for engineering and a consistent record of delivering great software
โ€ข 6 + Years Hands-on expertise with Java stack
โ€ข 3 + years of Big Data Application Development specific skills : Java , Big Data with Spark and Scala, Apache Kafka,Elastic Search,HBase and Hive, Sqoop, Hbase, MaprDB, MapReduce, HDFS, Kubernetes/Openshift, MapR FS, Docker, oozie
โ€ข Strong Knowledge on CI/CD
โ€ข Experience in design, implementation and deployment of scalable API services
โ€ข Good understanding of Agile/Scrum methodology
โ€ข Clear and concise communication, able to articulate clearly
Regards,
Rajeev
585-532-7200 Ext 9016