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Trainee Gcp Data Engineer Jobs in Racine, WI (NOW HIRING)

Techvilla Solutions

ML Ops Engineer

Brookfield, WI · On-site

Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ... Experience with AWS, Azure, or GCP. * Strong knowledge of Docker and Kubernetes. * Experience with ...

Techvilla Solutions

ML Ops Engineer

Wauwatosa, WI · On-site

Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ... Experience with AWS, Azure, or GCP. * Strong knowledge of Docker and Kubernetes. * Experience with ...

Techvilla Solutions

ML Ops Engineer

Whitefish Bay, WI · On-site

Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ... Experience with AWS, Azure, or GCP. * Strong knowledge of Docker and Kubernetes. * Experience with ...

Techvilla Solutions

ML Ops Engineer

Cudahy, WI · On-site

Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ... Experience with AWS, Azure, or GCP. * Strong knowledge of Docker and Kubernetes. * Experience with ...

Techvilla Solutions

ML Ops Engineer

Glendale, WI · On-site

Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ... Experience with AWS, Azure, or GCP. * Strong knowledge of Docker and Kubernetes. * Experience with ...

Techvilla Solutions

ML Ops Engineer

Hales Corners, WI · On-site

Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ... Experience with AWS, Azure, or GCP. * Strong knowledge of Docker and Kubernetes. * Experience with ...

Techvilla Solutions

ML Ops Engineer

Milwaukee, WI · On-site

Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ... Experience with AWS, Azure, or GCP. * Strong knowledge of Docker and Kubernetes. * Experience with ...

Techvilla Solutions

ML Ops Engineer

West Allis, WI · On-site

Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ... Experience with AWS, Azure, or GCP. * Strong knowledge of Docker and Kubernetes. * Experience with ...

Techvilla Solutions

ML Ops Engineer

Big Bend, WI · On-site

Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ... Experience with AWS, Azure, or GCP. * Strong knowledge of Docker and Kubernetes. * Experience with ...

Techvilla Solutions

ML Ops Engineer

Elm Grove, WI · On-site

Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ... Experience with AWS, Azure, or GCP. * Strong knowledge of Docker and Kubernetes. * Experience with ...

Techvilla Solutions

ML Ops Engineer

Franklin, WI

Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ... Experience with AWS, Azure, or GCP. * Strong knowledge of Docker and Kubernetes. * Experience with ...

Techvilla Solutions

ML Ops Engineer

Butler, WI · On-site

Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ... Experience with AWS, Azure, or GCP. * Strong knowledge of Docker and Kubernetes. * Experience with ...

Georgia IT, Inc.

GCP-Cloud-Brookfield WI

Brookfield, WI · On-site

$52.75 - $70.50/hr

Georgia IT, Inc. is seeking a GCP Cloud Engineer to lead the design and implementation of ... cloud, data, infrastructure, and APIs. • Understanding or experience with a plurality of the ...

SmartIPlace

DevOps Engineer[remote]

Milwaukee, WI · Remote

$54 - $74/hr

USC, GC, GC-EAD, H4-EAD Top Skills * 3 years of Cloud experience (Azure, AWS, and/or GCP) * Strong ... Data Platform and Big Data: SQL Server, Azure SQL DB, HDInsight/Hadoop, Machine Learning, Cosmos DB

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Showing results 21-40

All JobsGcp Data Engineer JobsTrainee Gcp Data Engineer JobsTrainee Gcp Data Engineer Jobs in Racine, WI

Trainee Gcp Data Engineer information

See Racine, WI salary details

$41.7K

$121.6K

$166.4K

How much do trainee gcp data engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for trainee gcp data engineer in Racine, WI is $121,632.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,400.00 and $128,900.00 per year, depending on experience, location, and employer.

What is the difference between Trainee Gcp Data Engineer vs Junior Data Engineer?

AspectTrainee Gcp Data EngineerJunior Data Engineer
Required CredentialsBasic understanding of GCP, entry-level certificationsSome certifications, practical experience preferred
Work EnvironmentTraining programs, supervised projectsReal-world data projects, team collaboration
Employer & Industry UsageEntry-level roles in tech and data companiesFull-time roles in data engineering teams

The Trainee Gcp Data Engineer is an entry-level position focused on learning GCP data tools, often in a training setting. A Junior Data Engineer typically has some practical experience and works on real data projects. While both roles involve GCP data services, the trainee role emphasizes learning and development, whereas the junior role involves applying skills in a professional environment.

What are popular job titles related to Trainee Gcp Data Engineer jobs in Racine, WI?

For Trainee Gcp Data Engineer jobs in Racine, WI, the most frequently searched job titles are:

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Cities near Racine, WI with the most Trainee Gcp Data Engineer job openings:

Trainee Gcp Data Engineer jobs near you

ML Ops Engineer

Techvilla Solutions

Brookfield, WI • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine learning infrastructure and deployment pipelines. The ideal candidate will have strong experience with cloud platforms, CI/CD, containerization, model deployment, monitoring, and ML lifecycle management.

Roles and Responsibilities
  • Build and maintain MLOps pipelines for model development, deployment, monitoring, and retraining.
  • Automate ML workflows using CI/CD, infrastructure as code, and workflow orchestration.
  • Deploy and manage machine learning models across cloud and on-premise environments.
  • Implement model versioning, experiment tracking, feature management, and model governance.
  • Build scalable infrastructure using Docker, Kubernetes, and cloud services.
  • Monitor model performance, data quality, system health, and production workloads.
  • Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams.
  • Troubleshoot production ML systems and optimize reliability, scalability, and performance.
  • Implement security, access controls, logging, and compliance best practices.
Required Skills
  • 5+ years of experience in DevOps, ML Engineering, MLOps, or a related field.
  • Strong experience with MLOps concepts and ML lifecycle management.
  • Hands-on experience with Python and scripting.
  • Experience with AWS, Azure, or GCP.
  • Strong knowledge of Docker and Kubernetes.
  • Experience with CI/CD tools such as Jenkins, GitHub Actions, GitLab CI, or Azure DevOps.
  • Experience with MLflow, Kubeflow, SageMaker, Vertex AI, Azure ML, or similar ML platforms.
  • Experience with Git, Terraform, and infrastructure automation.
  • Knowledge of model monitoring, observability, data validation, and model performance tracking.
  • Strong understanding of REST APIs, microservices, Linux, and cloud-native architectures.
Preferred Skills
  • Experience with Apache Airflow, Databricks, Spark, or Kafka.
  • Knowledge of LLMOps/GenAI deployment and monitoring.
  • Experience with model serving frameworks such as KServe, Seldon, or NVIDIA Triton.
  • Familiarity with Prometheus, Grafana, ELK, or similar observability tools.
  • Understanding of ML security, governance, and responsible AI practices.
Education

Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field, or equivalent practical experience.

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