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Trainee Databricks Data Engineer Jobs in Milwaukee, WI

Techvilla Solutions

ML Ops Engineer

West Milwaukee, WI · On-site

Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ... Experience with Apache Airflow, Databricks, Spark, or Kafka. * Knowledge of LLMOps/GenAI deployment ...

Techvilla Solutions

ML Ops Engineer

Hales Corners, WI · On-site

Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ... Experience with Apache Airflow, Databricks, Spark, or Kafka. * Knowledge of LLMOps/GenAI deployment ...

Techvilla Solutions

ML Ops Engineer

Menomonee Falls, WI · On-site

Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ... Experience with Apache Airflow, Databricks, Spark, or Kafka. * Knowledge of LLMOps/GenAI deployment ...

Techvilla Solutions

ML Ops Engineer

Sussex, WI · On-site

Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ... Experience with Apache Airflow, Databricks, Spark, or Kafka. * Knowledge of LLMOps/GenAI deployment ...

Techvilla Solutions

ML Ops Engineer

Saint Francis, WI · On-site

Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ... Experience with Apache Airflow, Databricks, Spark, or Kafka. * Knowledge of LLMOps/GenAI deployment ...

Techvilla Solutions

ML Ops Engineer

North Lake, WI · On-site

Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ... Experience with Apache Airflow, Databricks, Spark, or Kafka. * Knowledge of LLMOps/GenAI deployment ...

Techvilla Solutions

ML Ops Engineer

Nashotah, WI · On-site

Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ... Experience with Apache Airflow, Databricks, Spark, or Kafka. * Knowledge of LLMOps/GenAI deployment ...

Techvilla Solutions

ML Ops Engineer

Glendale, WI · On-site

Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ... Experience with Apache Airflow, Databricks, Spark, or Kafka. * Knowledge of LLMOps/GenAI deployment ...

Techvilla Solutions

ML Ops Engineer

Butler, WI · On-site

Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ... Experience with Apache Airflow, Databricks, Spark, or Kafka. * Knowledge of LLMOps/GenAI deployment ...

Techvilla Solutions

ML Ops Engineer

River Hills, WI · On-site

Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ... Experience with Apache Airflow, Databricks, Spark, or Kafka. * Knowledge of LLMOps/GenAI deployment ...

Techvilla Solutions

ML Ops Engineer

Muskego, WI · On-site

Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ... Experience with Apache Airflow, Databricks, Spark, or Kafka. * Knowledge of LLMOps/GenAI deployment ...

Techvilla Solutions

ML Ops Engineer

Big Bend, WI · On-site

Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ... Experience with Apache Airflow, Databricks, Spark, or Kafka. * Knowledge of LLMOps/GenAI deployment ...

Techvilla Solutions

ML Ops Engineer

Richfield, WI · On-site

Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ... Experience with Apache Airflow, Databricks, Spark, or Kafka. * Knowledge of LLMOps/GenAI deployment ...

Techvilla Solutions

ML Ops Engineer

Thiensville, WI · On-site

Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ... Experience with Apache Airflow, Databricks, Spark, or Kafka. * Knowledge of LLMOps/GenAI deployment ...

Concurrency

Data Architect

Milwaukee, WI · On-site

$62.75 - $80.75/hr

You'll work with a high-performance engineering team and report directly to the Practice Manager ... ADLS, Databricks, Fabric, Synapse, and related tooling * Define and document reference ...

Techvilla Solutions

ML Ops Engineer

Wales, WI · On-site

Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ... Experience with Apache Airflow, Databricks, Spark, or Kafka. * Knowledge of LLMOps/GenAI deployment ...

Techvilla Solutions

ML Ops Engineer

Waukesha, WI · On-site

Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ... Experience with Apache Airflow, Databricks, Spark, or Kafka. * Knowledge of LLMOps/GenAI deployment ...

Techvilla Solutions

ML Ops Engineer

Brown Deer, WI · On-site

Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ... Experience with Apache Airflow, Databricks, Spark, or Kafka. * Knowledge of LLMOps/GenAI deployment ...

Techvilla Solutions

ML Ops Engineer

Greenfield, WI · On-site

Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ... Experience with Apache Airflow, Databricks, Spark, or Kafka. * Knowledge of LLMOps/GenAI deployment ...

Techvilla Solutions

ML Ops Engineer

Wauwatosa, WI · On-site

Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ... Experience with Apache Airflow, Databricks, Spark, or Kafka. * Knowledge of LLMOps/GenAI deployment ...

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All JobsDatabricks Data Engineer JobsTrainee Databricks Data Engineer JobsTrainee Databricks Data Engineer Jobs in Milwaukee, WI

Trainee Databricks Data Engineer information

See Milwaukee, WI salary details

$43.8K

$127.8K

$174.9K

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

As of Sep 1, 2026, the average yearly pay for trainee databricks data engineer in Milwaukee, WI is $127,802.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,800.00 and $135,500.00 per year, depending on experience, location, and employer.

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

AspectTrainee Databricks Data EngineerJunior Data Engineer
Required CredentialsBasic knowledge of Databricks, SQL, and data fundamentalsDegree in Computer Science or related field, some experience with data tools
Work EnvironmentTraining programs, mentorship, entry-level projects on Databricks platformEntry-level to mid-level data teams, real-world data projects
Employer & Industry UsageTech companies, data consulting firms, startups focusing on cloud data platformsVariety of industries including finance, healthcare, retail, with data teams

The Trainee Databricks Data Engineer is an entry-level role focused on learning Databricks and data engineering fundamentals, often within training programs. In contrast, a Junior Data Engineer typically has some hands-on experience and works on real data projects. Both roles are common in tech-driven industries, but the trainee position emphasizes skill development, while the junior role involves more independent work.

What are the most commonly searched types of Databricks Data Engineer jobs in Milwaukee, WI?

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Trainee Databricks Data Engineer jobs near you

ML Ops Engineer

Techvilla Solutions

West Milwaukee, 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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