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Commission 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

Commission Databricks Data Engineer information

What is the difference between Commission Databricks Data Engineer vs Commission Data Engineer?

AspectCommission Databricks Data EngineerCommission Data Engineer
CertificationsDatabricks certifications, cloud platform credentialsGeneral data engineering certifications, cloud platform credentials
Work EnvironmentPrimarily on Databricks platform, cloud-basedVarious cloud platforms, on-premises or cloud
Industry UsageTech, finance, healthcare with Databricks adoptionBroad industry, including finance, retail, healthcare

The Commission Databricks Data Engineer specializes in working with Databricks platform for data processing and analytics, often requiring Databricks-specific certifications. In contrast, the Commission Data Engineer has a broader scope, working across multiple platforms and environments. Both roles involve building data pipelines and managing data workflows, but the Databricks-focused role emphasizes expertise in Databricks tools and cloud integrations.

How much does a Commission Databricks Data Engineer make?

A Databricks Data Engineer's salary varies based on experience, location, and company size, but typically ranges from $90,000 to $140,000 annually. Those with advanced skills in Spark, cloud platforms, and data pipeline development may earn higher compensation, especially with certifications or in high-demand markets.

Is a Databricks data engineer in demand?

Databricks data engineers are in high demand due to the increasing adoption of cloud-based data platforms and big data processing. Skills in Apache Spark, SQL, and cloud environments like AWS or Azure enhance job prospects, with many organizations seeking professionals to manage large-scale data workflows and analytics.

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

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

What cities in Minnesota are hiring for Commission Databricks Data Engineer jobs?

Cities in Minnesota with the most Commission Databricks Data Engineer job openings:

Other

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.