ZipRecruiter

Log In

1

Databricks Engineer Jobs in Milwaukee, WI (NOW HIRING)

Techvilla Solutions

ML Ops Engineer

Nashotah, WI

We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine ... Experience with Apache Airflow, Databricks, Spark, or Kafka. * Knowledge of LLMOps/GenAI deployment ...

Techvilla Solutions

ML Ops Engineer

Brown Deer, WI

We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine ... Experience with Apache Airflow, Databricks, Spark, or Kafka. * Knowledge of LLMOps/GenAI deployment ...

Techvilla Solutions

ML Ops Engineer

Big Bend, WI · On-site

We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine ... Experience with Apache Airflow, Databricks, Spark, or Kafka. * Knowledge of LLMOps/GenAI deployment ...

Techvilla Solutions

ML Ops Engineer

Elm Grove, WI · On-site

We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine ... Experience with Apache Airflow, Databricks, Spark, or Kafka. * Knowledge of LLMOps/GenAI deployment ...

Techvilla Solutions

ML Ops Engineer

West Allis, WI · On-site

We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine ... Experience with Apache Airflow, Databricks, Spark, or Kafka. * Knowledge of LLMOps/GenAI deployment ...

Techvilla Solutions

ML Ops Engineer

Franklin, WI · On-site

We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine ... Experience with Apache Airflow, Databricks, Spark, or Kafka. * Knowledge of LLMOps/GenAI deployment ...

Techvilla Solutions

ML Ops Engineer

Butler, WI · On-site

We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine ... Experience with Apache Airflow, Databricks, Spark, or Kafka. * Knowledge of LLMOps/GenAI deployment ...

Techvilla Solutions

ML Ops Engineer

Genesee Depot, WI · On-site

We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine ... Experience with Apache Airflow, Databricks, Spark, or Kafka. * Knowledge of LLMOps/GenAI deployment ...

Techvilla Solutions

ML Ops Engineer

Colgate, WI · On-site

We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine ... Experience with Apache Airflow, Databricks, Spark, or Kafka. * Knowledge of LLMOps/GenAI deployment ...

Techvilla Solutions

ML Ops Engineer

Bayside, WI

We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine ... Experience with Apache Airflow, Databricks, Spark, or Kafka. * Knowledge of LLMOps/GenAI deployment ...

Techvilla Solutions

ML Ops Engineer

West Milwaukee, WI · On-site

We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine ... Experience with Apache Airflow, Databricks, Spark, or Kafka. * Knowledge of LLMOps/GenAI deployment ...

Techvilla Solutions

ML Ops Engineer

Whitefish Bay, WI · On-site

We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine ... Experience with Apache Airflow, Databricks, Spark, or Kafka. * Knowledge of LLMOps/GenAI deployment ...

Techvilla Solutions

ML Ops Engineer

Glendale, WI · On-site

We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine ... Experience with Apache Airflow, Databricks, Spark, or Kafka. * Knowledge of LLMOps/GenAI deployment ...

Techvilla Solutions

ML Ops Engineer

Cudahy, WI

We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine ... Experience with Apache Airflow, Databricks, Spark, or Kafka. * Knowledge of LLMOps/GenAI deployment ...

Techvilla Solutions

ML Ops Engineer

River Hills, WI · On-site

We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine ... Experience with Apache Airflow, Databricks, Spark, or Kafka. * Knowledge of LLMOps/GenAI deployment ...

Techvilla Solutions

ML Ops Engineer

Hales Corners, WI · On-site

We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine ... Experience with Apache Airflow, Databricks, Spark, or Kafka. * Knowledge of LLMOps/GenAI deployment ...

Milwaukee Tool

Sr Data Engineer

Menomonee Falls, WI · On-site

$114K - $138K/yr

Familiarity with modern data engineering tools and practices such as Spark, Databricks, Airflow,dbt,Fabric, or automated testing. * Strong understanding of data quality, data governance, data ...

Bakertilly

Associate Data Engineer

Milwaukee, WI · On-site

$85K - $162K/yr

As a Senior Consultant - Associate Data Engineer you will design, build, and optimize modern data ... and Databricks; implement bestpractice patterns for performance, security, and cost control.

ClifyX

Principal - Quality Engineering

Milwaukee, WI · On-site

Job Summary : ClifyX is a company looking for a Principal - Quality Engineering to lead testing ... SQL, MySQL, PostgreSQL, Databricks, Snowflake • Power BI/SSRS/SSIS for report testing • ...

previous page

Showing results 41-60

All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Milwaukee, WI

Databricks Engineer information

See Milwaukee, WI salary details

$58.6K

$109.9K

$199.8K

How much do databricks engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for databricks engineer in Milwaukee, WI is $109,889.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,200.00 and $130,400.00 per year, depending on experience, location, and employer.

What is a Databricks engineer?

A Databricks Engineer is a data engineering professional who specializes in using the Databricks platform to build, manage, and optimize data pipelines and analytics solutions. They work with big data technologies like Apache Spark, Delta Lake, and cloud services to process and analyze large datasets efficiently. Their role often involves developing ETL (extract, transform, load) workflows, setting up data lakes, and ensuring data quality and performance for business intelligence and machine learning applications.

What are the key skills and qualifications needed to thrive as a Databricks engineer?

To thrive as a Databricks Engineer, you need strong expertise in big data processing, cloud platforms (like AWS or Azure), and proficiency with languages such as Python, SQL, and Scala, often supported by a degree in computer science or a related field. Familiarity with Apache Spark, Databricks Workspace, version control systems like Git, and relevant Databricks certifications are typically required. Strong analytical thinking, collaboration, and effective communication skills help you understand business needs and work seamlessly with data teams. These skills ensure efficient data pipeline development, scalable analytics solutions, and successful integration of Databricks into organizational workflows.

What are some common challenges faced by Databricks engineers when working with large-scale data pipelines?

Databricks Engineers often encounter challenges related to optimizing the performance and reliability of large-scale data pipelines. These can include efficiently managing cluster resources, handling data partitioning to prevent bottlenecks, and troubleshooting job failures due to resource constraints or data quality issues. Collaboration with data scientists, analysts, and DevOps teams is essential to ensure seamless integration and deployment of production workflows. Staying current with evolving Databricks features and best practices also plays a key role in overcoming these challenges.

How much does a Databricks engineer make?

A Databricks engineer's salary typically ranges from $90,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, and data engineering can earn higher compensation, often including bonuses and benefits.

Is a Databricks engineer in demand?

Databricks engineers are in high demand due to the growing adoption of cloud-based data analytics and machine learning platforms. They typically require skills in Spark, SQL, and cloud environments like AWS or Azure, making them valuable in data-driven organizations across various industries.

What are popular job titles related to Databricks Engineer jobs in Milwaukee, WI?

For Databricks Engineer jobs in Milwaukee, WI, the most frequently searched job titles are:

What job categories do people searching Databricks Engineer jobs in Milwaukee, WI look for?

The top searched job categories for Databricks Engineer jobs in Milwaukee, WI are:

What cities near Milwaukee, WI are hiring for Databricks Engineer jobs?

Cities near Milwaukee, WI with the most Databricks Engineer job openings:

Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in Milwaukee, WI as of September 2026, with employment types broken down into 1% Internship, 86% Full Time, 9% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $109,889 per year, or $52.8 per hour.

ML Ops Engineer

Nashotah, WI

Techvilla Solutions
IT Services • 51 - 200 employees
Learn more about Techvilla Solutionsexternal

Full-time

Posted 20 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.

Apply