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Big Data Engineer Intern Jobs in Minnesota (NOW HIRING)

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Data Engineer - Finance AI Solutions

Minneapolis, MN · On-site +1

$75K - $135K/yr

... Big Data technologies such as Spark, Hadoop, or distributed data processing frameworks * Programming experience with PySpark, Scala, Java, or Python * Experience with cloud platforms (AWS, GCP, or ...

Onto

Mechanical Systems Engineer Intern

Bloomington, MN · On-site

$18.75 - $25.25/hr

The Mechanical Systems Engineer Intern will work closely with senior engineers and cross-functional ... Important Note on Export Compliance For certain positions requiring access to technical data, U.S ...

Onto

Mechanical Systems Engineer Intern

Bloomington, MN

$18.75 - $25.25/hr

The Mechanical Systems Engineer Intern will work closely with senior engineers and cross-functional ... Important Note on Export Compliance For certain positions requiring access to technical data, U.S ...

Pwc

Data Strategy-Manager

Minneapolis, MN · On-site

$99K - $232K/yr

... with big data engineering tools - Proficiency in SQL and data visualization tools - Experience in designing advanced analytics solutions - Coaching and collaborating with team members Travel ...

krg technology inc

Hadoop developer

Eden Prairie, MN · On-site

Code Big data program using Sqoop and other Big Data Technology Work with clients, Architect ... as Big data developer Part of scrum team and manage work load Additional Information Need ...

UnitedHealth Group

Data Engineer with AI/ML

Minnetonka, MN · On-site +1

$72K - $130K/yr

Bachelor's degree in CS or IT related field * 5 years of hands-on experience in data engineering and backend automation * 5 years of experience in Python, PySpark (Databricks), T-SQL, SQL, and big ...

UnitedHealth Group

Data Engineer with AI/ML

Minnetonka, MN · On-site

$72K - $130K/yr

Bachelor's degree in CS or IT related field * 5+ years of hands-on experience in data engineering and backend automation * 5+ years of experience in Python, PySpark (Databricks), T-SQL, SQL, and big ...

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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:

Big Data Engineer Intern jobs near you

Managing Consultant, Data Engineer - Minneapolis

Thought Logic Consulting

Minneapolis, MN

$115K - $138K/yr

Full-time

Re-posted 20 days ago

Job description

Description
Thought Logic Consulting is a functionally-led, digitally enabled consultancy that exists at the intersection of business transformation and technology innovation. We partner with clients to solve their most complex business problems and we do it in a highly collaborative, local-market approach, giving clients senior-level attention and giving our consultants room to grow, lead, and build.

***Candidates must currently reside in or live within a commutable distance to the Minneapolis Office/Twin Cities Metro ****
The Role
We are looking for a technically skilled and motivated Data Engineer with 7-12 years of experience to join our growing Data & Analytics team. In this role, you'll work closely with cross-functional teams to build modern data pipelines, develop scalable solutions, and help clients unlock insights from their data. You’ll be supported by experienced architects and consultants while having the opportunity to grow your technical and consulting skills in a collaborative, client-facing environment.

What You'll Do
  • Build and maintain scalable, reliable data pipelines using tools like Azure Data Factory, AWS Glue, or Palantir Foundry
  • Develop ETL/ELT processes to transform and prepare raw data for reporting, analytics, and downstream applications
  • Collaborate with team members and clients to gather requirements, integrate data sources, and ensure high data quality
  • Assist in the development and optimization of data models and cloud-based data platforms (e.g., Snowflake, Databricks, Redshift)
  • Support the creation of dashboards and data visualizations using tools like Power BI or Tableau
  • Participate in testing, documentation, and deployment of data solutions to ensure performance and reliability
  • Engage in project workstreams alongside more senior team members, gaining exposure to client interaction and delivery best practices
  • Learn and apply modern data engineering and cloud practices in a variety of industries and use cases

Who You'll Work With
  • A team of collaborative, experienced consultants focused on solving complex business problems through data
  • Clients across industries who are looking to modernize their data platforms and make more informed decisions
  • Colleagues who prioritize curiosity, humility, and hands-on problem-solving
    A supportive environment where ongoing learning and mentorship are central to your professional growth

What You'll Bring
  • 7-12 years of professional experience in data engineering, analytics, or a related technical role
  • Proficiency in SQL and working knowledge of Python or another scripting language
  • Hands-on experience with ETL/ELT processes and modern data tools such as Azure Data Factory, AWS Glue, Snowflake, or Databricks
  • Familiarity with cloud environments (AWS, Azure, Palantir Foundry or similar) and data modeling concepts
  • Understanding of data integration, quality, and performance tuning principles
  • Ability to work collaboratively on fast-paced projects with a mix of technical and non-technical stakeholders
  • Strong problem-solving and communication skills
  • Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field
  • Ability to legally work for any employer in the US without sponsorship
Bonus Points if You Have
  • Experience with tools like Apache Airflow, dbt, or Palantir Foundry
  • Familiarity with big data technologies such as Spark, Kafka, or Redshift
  • Exposure to dashboarding and visualization tools like Power BI or Tableau
  • Certifications in cloud platforms or data engineering technologies
  • Previous consulting firm experience

Why Thought Logic
  • Work on transformations that matter, not slide decks that sit on shelves
  • Real responsibility and ownership over how work gets delivered and how clients experience us
  • Direct access to firm leadership and influence over how we grow and evolve
  • A culture that values depth over optics, outcomes over activity, and people over process
  • The chance to grow your career in a firm that's scaling thoughtfully and intentionally, not just chasing growth for growth's sake