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Intern Databricks Data Engineer Jobs in Minnesota

Senior Data Engineer

Eden Prairie, MN · Remote

$108K - $146K/yr

Support data engineering project execution using Azure Cloud, Databricks, Spark, Scala, and Python to enhance data efficiency, reliability, and value * Evaluate emerging technology trends and ...

Data Engineer Senior

Bloomington, MN · On-site

$115K - $138K/yr

The Data Engineer will help advance and maintain the Leadership Financial Reporting & Analytics ... Expert in Microsoft Azure applications such as Azure Data Factory, Synapse, Purview, Databricks ...

Data Engineer Senior

Bloomington, MN · On-site

$115K - $138K/yr

The Data Engineer will help advance and maintain the Leadership Financial Reporting & Analytics ... Expert in Microsoft Azure applications such as Azure Data Factory, Synapse, Purview, Databricks ...

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 ... Expert in Microsoft Azure applications such as Azure Data Factory, Synapse, Purview, Databricks ...

Data Engineer

Blaine, MN · On-site

$65K/yr

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

Sr. Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

W2 Role only, No visa sponsorship at this time Sr. Data Engineer Locals only/out of area/ remote ... Databricks Healthcare/Payer domain experience is preferred (Clinical, Claims, Provider) Thanks ...

Data Engineer

Blaine, MN · On-site

$65K/yr

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

Data Engineer

Blaine, MN · On-site

$65K/yr

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

Data Engineer

Blaine, MN · On-site

$65K/yr

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

Data Engineer

Minneapolis, MN · On-site

$120K - $140K/yr

We are adding Data Engineers to influence the direction of data modernization for our customers. We ... Experience with Databricks is a bonus * Experience with DBT is a bonus * Prior consulting or ...

Data Engineer

Minneapolis, MN · On-site +1

$120K - $140K/yr

We are adding Data Engineers to influence the direction of data modernization for our customers. We ... Experience with Databricks is a bonus * Experience with DBT is a bonus * Prior consulting or ...

Showing results 21-40

Intern Databricks Data Engineer information

What is the difference between Intern Databricks Data Engineer vs Intern Data Analyst?

AspectIntern Databricks Data EngineerIntern Data Analyst
Required SkillsSQL, Python, Spark, Databricks platformExcel, SQL, data visualization tools
Work EnvironmentData engineering teams, cloud platformsBusiness intelligence teams, reporting environments
Industry UsageTech, finance, healthcareRetail, marketing, finance

Intern Databricks Data Engineers focus on building data pipelines and managing large-scale data workflows using Databricks and Spark, while Intern Data Analysts primarily analyze data and create reports. Both roles require SQL and basic programming skills, but Data Engineers need more technical expertise in data infrastructure, whereas Data Analysts focus on interpreting data for business insights.

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Posted 10 days ago


Job description

Job Title: AI/ML Engineer
Work Location: MinneapolisMN55401Detailed Job Description

The AI/ML Engineer will be responsible for delivering capital-funded cloud migration initiatives involving AI/ML and data platforms.

The resource will work closely with engineering, data, cloud, and business teams to migrate and modernize existing workloads while implementing scalable AI/ML solutions in the Azure ecosystem.

Key responsibilities include:

  • Design, develop, and implement AI/ML solutions for enterprise applications and data platforms.
  • Support the migration of existing AI, analytics, and data workloads to Microsoft Azure and Databricks.
  • Develop scalable data processing and machine learning pipelines using Python, Spark/PySpark, and Airflow.
  • Build and maintain Airflow workflows/DAGs for data and ML pipeline orchestration.
  • Develop, train, evaluate, and optimize machine learning models.
  • Apply strong AI/ML knowledge to solve complex business and technical problems.
  • Collaborate with cloud and data engineering teams to modernize legacy workloads.
  • Ensure migrated workloads meet performance, scalability, security, and reliability requirements.
  • Troubleshoot and optimize cloud-based AI/ML and data processing workloads.
  • Contribute to architecture, technical design, development, testing, deployment, and production support activities.
  • Participate in enterprise-scale cloud migration and modernization programs.
Top 3 Responsibilities
  1. AI/ML Engineering
    Design, develop, optimize, and productionize AI/ML solutions using Python and modern machine learning technologies.
  2. Cloud Migration & Modernization
    Deliver capital-funded initiatives focused on migrating and modernizing AI/data workloads using Azure and Databricks.
  3. Data & ML Pipeline Engineering
    Build and optimize scalable pipelines using Python, Spark/PySpark, and Airflow to support enterprise AI/ML workloads.