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Overnight Databricks Data Engineer Jobs in Milwaukee, WI

Techvilla Solutions

ML Ops Engineer

Lannon, 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

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

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

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

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

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

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

Hubertus, 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

Delafield, 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

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

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

Brookfield, 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

Vernon, 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

Wauwatosa, WI

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

Fox Point, 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

New Berlin, WI

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

Hartland, 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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Showing results 41-60

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

Overnight Databricks Data Engineer information

What is an overnight Databricks data engineer?

An Overnight Databricks Data Engineer is a professional who works primarily during night shifts to manage, design, and maintain big data pipelines and workflows using Databricks, a cloud-based data analytics platform. Their responsibilities often include developing and optimizing data processing jobs, ensuring data quality, and troubleshooting issues that arise during overnight data operations. This role is critical for organizations that require 24/7 data processing, continuous ETL jobs, or real-time analytics. Working overnight may also involve monitoring automated systems, performing scheduled data loads, and collaborating with global teams to ensure data availability and reliability.

What skills and qualifications are needed to thrive as an overnight Databricks data engineer?

To thrive as an Overnight Databricks Data Engineer, you need strong proficiency in data engineering, Python or Scala programming, and experience with big data technologies, typically supported by a relevant degree in computer science or a related field. Familiarity with Databricks, Apache Spark, cloud platforms (such as AWS or Azure), and certifications like Databricks Certified Data Engineer are highly valued. Attention to detail, problem-solving, and effective communication are essential soft skills, especially for troubleshooting and collaborating across shifts. These competencies ensure reliable data pipeline management and efficient resolution of issues during off-hours, maintaining seamless business operations.

What unique challenges do overnight Databricks data engineers face, and how can they be addressed?

Overnight Databricks Data Engineers often work with limited real-time support, which can present challenges when troubleshooting urgent data pipeline issues or system outages. To address this, it’s essential to develop strong problem-solving skills, document processes thoroughly, and leverage automated monitoring and alerting tools. Additionally, close collaboration with daytime teams during handoff periods ensures continuity and minimizes disruptions. Building a habit of proactive communication and maintaining detailed logs helps the entire team resolve issues efficiently and maintain data quality.

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

AspectOvernight Databricks Data Engineer
Work EnvironmentPrimarily remote or on-site, working overnight shifts to support global data operations
CertificationsDatabricks certifications, cloud platform credentials (AWS, Azure), data engineering certifications
Tools & TechnologiesDatabricks platform, Spark, cloud services, SQL, Python, ETL tools
Industry UsageTech, finance, healthcare, retail with 24/7 data needs

While both roles focus on data engineering, the Overnight Databricks Data Engineer specializes in managing data pipelines on the Databricks platform during overnight shifts, often supporting global operations. A Data Engineer may work across various platforms and shifts, with broader responsibilities in data architecture and pipeline development. The overnight role emphasizes specific platform expertise and shift timing, catering to organizations with continuous data processing needs.

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

The most popular types of Databricks Data Engineer jobs in Milwaukee, WI are:

Overnight Databricks Data Engineer jobs near you

ML Ops Engineer

Techvilla Solutions

Lannon, WI • On-site

Full-time

Posted 15 days ago

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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