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Big Data Engineer Intern Jobs in Minnesota (NOW HIRING)

Data Engineer

Saint Paul, MN · On-site

$115K - $139K/yr

Hands-on experience with big data and in cloud-native technologies. * Experience in writing Python ... Understanding of MLOps and data engineering best practices for machine learning pipelines.

Data Engineer

Saint Paul, MN · On-site

$115K - $139K/yr

Hands-on experience with big data and in cloud-native technologies. * Experience in writing Python ... Understanding of MLOps and data engineering best practices for machine learning pipelines.

Data Engineer

Saint Paul, MN · On-site

$115K - $139K/yr

Hands-on experience with big data and in cloud-native technologies. * Experience in writing Python ... Understanding of MLOps and data engineering best practices for machine learning pipelines.

Data Engineer

Saint Paul, MN · On-site

$115K - $139K/yr

Hands-on experience with big data and in cloud-native technologies. * Experience in writing Python ... Understanding of MLOps and data engineering best practices for machine learning pipelines.

Data Engineer Senior

Bloomington, MN · On-site

$115K - $138K/yr

The Data Engineer will help advance and maintain the Leadership Financial Reporting & Analytics ... Three (3) years of experience in the areas of Graph databases, Big Data, or Hyper Scale products in ...

Data Engineer Senior

Bloomington, MN · On-site

$115K - $138K/yr

The Data Engineer will help advance and maintain the Leadership Financial Reporting & Analytics ... Three (3) years of experience in the areas of Graph databases, Big Data, or Hyper Scale products in ...

Data Engineer Senior

Bloomington, MN · On-site

$51.85 - $77.77/hr

The Data Engineer will help advance and maintain the Leadership Financial Reporting & Analytics ... Three (3) years of experience in the areas of Graph databases, Big Data, or Hyper Scale products in ...

Data Engineer

Blaine, MN · On-site

$65K/yr

Position Overview We are seeking a motivated Data Engineer to join our Data Engineering team. The ... Big query etc.) • Knowledge of containerization and CI/CD pipelines (e.g., Docker, Kubernetes ...

As a Construction Scheduling Intern at Ryan, you'll work side by side with our scheduling team and ... Help capture and organize completed project schedule data to support the Data Analytics team ...

Reliability Engineer Co-op

Cloquet, MN · On-site

$97K - $123K/yr

... Engineer Intern/Co-op, you will: * Support predictive and preventative maintenance activities to improve equipment reliability and uptime. * Assist in collecting and analyzing data from vibration ...

Data Engineer

Blaine, MN · On-site

$65K/yr

Position Overview We are seeking a motivated Data Engineer to join our Data Engineering team. The ... Big query etc.) • Knowledge of containerization and CI/CD pipelines (e.g., Docker, Kubernetes ...

Data Engineer

Blaine, MN · On-site

$65K/yr

Position Overview We are seeking a motivated Data Engineer to join our Data Engineering team. The ... Big query etc.) • Knowledge of containerization and CI/CD pipelines (e.g., Docker, Kubernetes ...

Data Engineer

Blaine, MN · On-site

$65K/yr

Position Overview We are seeking a motivated Data Engineer to join our Data Engineering team. The ... Big query etc.) • Knowledge of containerization and CI/CD pipelines (e.g., Docker, Kubernetes ...

Showing results 21-40

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:

$115K - $139K/yr

Full-time

Medical, Retirement, PTO

Posted 9 days ago


Trane Technologies rating

8.1

Company rating: 8.1 out of 10

Based on 301 frontline employees who took The Breakroom Quiz

116th of 544 rated manufacturers


Job description

Be a part of our mission! As a world leader in creating comfortable, sustainable, and efficient climate solutions for buildings, homes and transportation, it's our responsibility to put the planet first. For us at Trane Technologies, and through our businesses including TraneandThermo King, sustainability is not just how we do business-it is our business. Do you dare to look at the world's challenges and see impactful possibilities? Do you want to contribute to making a better future? If the answer is yes, we invite you to consider joining us in boldly challenging what's possible for a sustainable world.

Learn about our benefits designed for you to Thrive at work and at home.

We boldly go.

Where is the work:

Monday to Thursday, work onsite with your colleagues. Fridays, choose your work location, balancing what your work requires.

A sustainable future demands ongoing digital advancement. Our digital solutions team leads the way in developing next-generation climate technology focused on reducing demand-side energy consumption and emissions. Our team-including BrainBox AI, Nuvolo, and more-combines technical expertise with advanced analytics to create data-driven solutions that add real value for customers, communities, and the planet. Whether you're advancing AI in HVAC or driving analytics for greater efficiency, your ideas will help engineer solutions for stronger communities and a sustainable world.

Trane Technologies is seeking an experienced Data Engineer who will be responsible for managing and optimizing our database systems, with a special emphasis on NoSQL databases, cloud-native architectures, and high-volume data processing. The role involves designing scalable, distributed data solutions, writing Python scripts to migrate/build data across different applications and systems, and working with both SQL and NoSQL technologies in cloud-native environments. The position works closely with product, design, and development teams to review requirements, evaluate data models, and build database structures optimized for scale and performance. This includes designing, implementing, and maintaining architectures and cloud-native data platforms to ensure high performance, availability, and security while processing terabytes to petabytes of data.

What you will do:

  • Design, implement, and maintain both SQL and NoSQL database systems to ensure high performance, availability, and security.

  • Architect and deploy cloud-native database solutions using serverless technologies.

  • Conduct data analysis to support business decisions and optimize NoSQL data models and query patterns.

  • Develop, implement, and optimize SQL queries and NoSQL data access patterns for various database engines.

  • Design and implement real-time and batch data processing pipelines for high-volume data streams.

  • Analyze, evaluate data and design schema-less and flexible data models suited for NoSQL databases.

  • Build dashboards through reporting tools that integrate data from multiple NoSQL and SQL sources.

  • Manage the migration of data across systems, including relational to NoSQL database migrations and cloud migrations.

  • Utilize cloud services for NoSQL database management, operations, and scaling (AWS DynamoDB, BigQuery, Bigtable, etc.).

  • Design and implement data partitioning, sharding, and replication strategies for high-volume NoSQL databases.

  • Monitor and optimize database performance, including NoSQL index tuning, query optimization, and capacity planning for high-throughput systems.

  • Implement data lake and data mesh architectures for scalable data storage and analytics.

  • Design streaming data architectures for real-time analytics and event-driven systems.

  • Collaborate with development teams to ensure data consistency, integrity, and correctness across polyglot persistence layers.

  • Ensure database security and compliance with relevant regulations across SQL and NoSQL platforms.

  • Provide support for data-related issues and troubleshoot complex distributed NoSQL database issues as needed.

  • Implement CI/CD pipelines for database schema migrations and data pipeline deployments.

  • HVAC domain knowledge is an additional advantage, providing insights for domain-specific requirements and optimizations.

What you will bring:

  • Bachelor of Science degree in Computer Science, Computer Engineering, or equivalent required.

  • 6+ years of experience in Database Engineer, Data Engineer, or similar role with strong NoSQL expertise.

  • Deep hands-on experience with NoSQL databases (DynamoDB, BigQuery, BigTable, or similar).

  • Strong understanding of CAP theorem, eventual consistency, and distributed system concepts.

  • Experience designing denormalized data models and optimizing for read/write patterns in NoSQL databases.

  • Hands-on experience with big data and in cloud-native technologies.

  • Experience in writing Python scripts for data migration, governance, validation.

  • Experience in maintaining high-performance SQL and NoSQL databases at scale.

  • Good understanding of AWS and GCP systems, particularly managed NoSQL services and cloud-native data platforms.

  • Experience in migrating data from different systems, including legacy relational databases to NoSQL platforms and on-prem to cloud migrations.

  • Knowledge of data lake architectures and modern data stack tools.

  • Experience with data governance, data quality frameworks, and metadata management.

  • Understanding of MLOps and data engineering best practices for machine learning pipelines.

  • Excellent analytical and problem-solving skills.

  • Strong communication skills, ability to document complex data architectures and patterns.

Relevant certifications are highly desirable:

  • AWS Certified Data Analytics Specialty or AWS Certified Database Specialty.

  • Google Cloud Professional Data Engineer.

  • DataBricks Certified Data Engineer.

  • Or similar.

Annual Base Salary Range or Hourly Base Pay Range:

$91,516.66 - $128,379.99

Compensation Type:

Salary

Incentive Eligible:

No

Sales Commission Eligible:

No

Disclaimer: We strive to provide competitive compensation for this position, tailored to a variety of factors. The actual compensation will depend on elements such as seniority, merit, geographic location, education, experience, travel requirements, and union designation. Our compensation range is generally based on the national average for the country. Additionally, benefits may vary depending on the region, business alignment, union involvement, and employee status.

Thrive at work and at home:


  • Benefits kick in on DAY ONE for you and your family, including health insurance and holistic wellness programs that include generous incentives - WE DARE TO CARE!
  • Family building benefits include fertility coverage and adoption/surrogacy assistance.
  • 401K match up to 6%, plus an additional 2% core contribution = up to 8% company contribution.
  • Paid time off includes 15 vacation days, 9 paid holidays, 3 floating holidays, sick leave, and additional options to support volunteer and parental leave.
  • Educational and training opportunities through company programs along with tuition assistance and student debt support.

Disclaimer: Benefit offerings may vary depending on Collective Bargaining Agreements and local/state regulations.


Safety Sensitive Role:

No

The company designates certain roles as Safety Sensitive. Safety Sensitive roles may require that you pass additional drug screening.

We offer competitive compensation and comprehensive benefits and programs. We are an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, age, marital status, disability, status as a protected veteran, or any legally protected status.

Employment Type: FULL_TIME

What Trane Technologies employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Trane Technologies logo

About Trane Technologies

Sourced by ZipRecruiter

At Trane Technologies and through our businesses including Trane® and Thermo King®, we create innovative climate solutions for buildings, homes, and transportation that challenge what's possible for a sustainable world. We're a team that dares to look at the world's challenges and see impactful possibilities. We believe in a better future when we uplift others and enable our people to thrive at work and at home. We boldly go.

Industry

Industrial machinery manufacturing and machinery manufacturing

Company size

10,000+ Employees

Headquarters location

Davidson, NC, US