ZipRecruiter

Log In

1

Databricks Engineer Jobs in Wisconsin (NOW HIRING)

Qualysoft

Fur ein langfristig angelegtes Daten- und KI-Programm wird ein Databricks AI / ML Engineer (m/w/d) gesucht. Ziel ist die Entwicklung, Implementierung und der Betrieb skalierbarer Machine-Learning ...

Jobtailor

WI · On-site

$115K - $138K/yr

Engineer solutions using PySpark, Spark SQL, SQL, Python, Delta Lake, and orchestration tools ... Expertise with Databricks, including enterprise-level strategy and architecture with Unity Catalog ...

Tiger Analytics

WI · On-site

Design Databricks-driven enterprise data warehousing (EDW), lakehouse, and business intelligence ... Data Engineering & Governance * BI & EDW: Deep expertise in enterprise data warehousing and ...

Farm Systems

Data Engineer

Madison, WI · On-site

$114K - $137K/yr

Working primarily in Databricks, you'll develop and maintain pipelines and datasets that power ... We're looking for someone with strong data engineering fundamentals, hands-on Databricks experience ...

AgSource

Senior Data Engineer

Madison, WI · On-site

$105K - $143K/yr

Working primarily in Databricks, you will build and maintain the pipelines and datasets that feed ... A strong grasp of AI-assisted development tools as a regular part of the engineering workflow is ...

Urus

Data Engineer

Madison, WI · On-site

$114K - $137K/yr

Working primarily in Databricks, you'll develop and maintain pipelines and datasets that power ... We're looking for someone with strong data engineering fundamentals, hands-on Databricks experience ...

AgSource

Data Engineer

Madison, WI · On-site

$114K - $137K/yr

Working primarily in Databricks, you'll develop and maintain pipelines and datasets that power ... We're looking for someone with strong data engineering fundamentals, hands-on Databricks experience ...

AgSource

Senior Data Engineer

Watertown, WI · On-site +1

$101K - $137K/yr

Working primarily in Databricks, you will build and maintain the pipelines and datasets that feed ... A strong grasp of AI-assisted development tools as a regular part of the engineering workflow is ...

Farm Systems

Senior Data Engineer

Madison, WI · On-site

$105K - $143K/yr

Working primarily in Databricks, you will build and maintain the pipelines and datasets that feed ... A strong grasp of AI-assisted development tools as a regular part of the engineering workflow is ...

AgSource

Data Engineer

Watertown, WI · On-site +1

$109K - $131K/yr

Working primarily in Databricks, you'll develop and maintain pipelines and datasets that power ... We're looking for someone with strong data engineering fundamentals, hands-on Databricks experience ...

Urus Group LP

Data Engineer

Madison, WI · On-site +1

$114K - $137K/yr

Working primarily in Databricks, you'll develop and maintain pipelines and datasets that power ... We're looking for someone with strong data engineering fundamentals, hands-on Databricks experience ...

Urus

Senior Data Engineer

Madison, WI · On-site

$105K - $143K/yr

Working primarily in Databricks, you will build and maintain the pipelines and datasets that feed ... A strong grasp of AI-assisted development tools as a regular part of the engineering workflow is ...

REPAY

WI · On-site

$104K - $125K/yr

The Data Engineer is responsible for designing, building, optimizing, and maintaining scalable ... Design, build, maintain, and optimize data pipelines using Python, SQL, PySpark, Databricks, and ...

New

TiTANS Consulting

WI · On-site

$111K - $133K/yr

Als Data Analytics Engineer ben je betrokken bij elke fase van de data lifecycle: van dataanalyse ... Je bent vertrouwd met Databricks en PBI. Tot slot werk je pragmatisch en volgens Agile-principes.

next page

Showing results 1-20

All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Wisconsin

Databricks Engineer information

See Wisconsin salary details

$60.1K

$112.7K

$204.9K

How much do databricks engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for databricks engineer in Wisconsin is $112,676.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,300.00 and $133,700.00 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 Wisconsin?

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

What job categories do people searching Databricks Engineer jobs in Wisconsin look for?

The top searched job categories for Databricks Engineer jobs in Wisconsin are:

What cities in Wisconsin are hiring for Databricks Engineer jobs?

Cities in Wisconsin with the most Databricks Engineer job openings:

Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in Wisconsin as of August 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $112,676 per year, or $54.2 per hour.

Databricks AI / ML Engineer (m/w/d)

On-site, Remote

Qualysoft
See more jobs at Qualysoftexternal

Contractor

Re-posted 12 days ago

Job description

Fur ein langfristig angelegtes Daten- und KI-Programm wird ein Databricks AI / ML Engineer (m/w/d) gesucht.
Ziel ist die Entwicklung, Implementierung und der Betrieb skalierbarer Machine-Learning- und LLM-Losungen auf Azure Databricks von der Datenaufbereitung uber Feature Engineering bis hin zu MLOps, Deployment und Monitoring.
Der Fokus liegt auf Big-Data-Engineering, ML/LLM-Workloads, MLOps-Automatisierung sowie der nahtlosen Integration in das Microsoft-Okosystem.
520 - 560 a day
Rahmenbedingungen
Start: Marz/April 2026
Laufzeit: 3 Jahre (optional verlangerbar bis max. 5 Jahre)
Auslastung: 100 %
Arbeitsmodell: Hybrid - ca. 50 % vor Ort in Wien, ca. 50 % remote
Projektsprache: Deutsch und Englisch

Aufgaben:
Datenanalyse und Prototyping mit Python in Azure Databricks unter Einsatz gangiger ML-Frameworks
Entwicklung und Betrieb von Big-Data-Pipelines mit Apache Spark, Delta Lake und Databricks SQL
Durchfuhrung von Feature Engineering sowie Training, Versionierung und Deployment von Modellen mit Databricks MLflow
Entwicklung und Betrieb von ML- und LLM-Workloads auf Azure Databricks (inkl. Unity Catalog, Performance- und Kostenoptimierung)
End-to-End-Integration der Losungen in das Microsoft-Okosystem (z. B. API- und Schnittstellendesign, Orchestrierung mit Azure Functions und Logic Apps)
Aufbau und Weiterentwicklung von MLOps- und CI/CD-Pipelines fur automatisiertes Training, Testing, Deployment und Monitoring von ML- und LLM-Modellen sowie Agents
Durchfuhrung von Modell- und Datenmonitoring (Modellleistung, Daten-Drift, Bias) inklusive Wartungs- und Updateprozessen
Einsatz von AutoML-Tools zur Beschleunigung von Prototypen und Experimenten
Sicherstellung von Skalierbarkeit, Sicherheit und stabilen Betriebsprozessen der entwickelten Losungen

Fachliche Anforderungen:
Fundierte Kenntnisse in Datenanalyse und Prototyping mit Python in Azure Databricks
Erfahrung mit Machine-Learning-Frameworks wie TensorFlow, PyTorch und scikit-learn
Praktische Erfahrung im Big Data Engineering mit Apache Spark, Delta Lake und Databricks SQL
Kompetenz in Feature Engineering sowie Modell-Deployment mit managed Databricks MLflow
Erfahrung in der Entwicklung und dem Betrieb von ML- und LLM-Workloads auf Azure Databricks
Erfahrung mit End-to-End-Integrationen im Microsoft-Okosystem
Erfahrung im Aufbau von MLOps- und CI/CD-Pipelines fur ML- und LLM-Modelle sowie agentische Workflows
Erfahrung im Modell- und Datenmonitoring (Leistung, Drift, Bias) inklusive passender Wartungsstrategien
Praktische Erfahrung im Einsatz von AutoML-Tools
Vorhandensein einer eigenen, vom Produktivsystem des Auftraggebers getrennten Entwicklungsumgebung, die den aktuellen Standards fur Datensicherheit und Zugriffsschutz entspricht (inkl. Nachweis der Infrastruktur)

PLUS:
Erfahrung mit Data- und KI-Governance
Erfahrung in der Konzeption und Umsetzung agentischer Ansatze (Agenten, Multi-Agent-Systeme, agentische Workflows) mit Azure-Ressourcen
Erfahrung in der Umsetzung von End-to-End-Databricks-Projekten (von Datenaufbereitung und Feature Engineering uber Modelltraining und Deployment bis zu MLOps und Monitoring)
Branchenkenntnisse in der Energieindustrie
Strukturierte und analytische Arbeitsweise
Hohes Qualitatsbewusstsein und Verantwortungsbereitschaft
Sehr gute Kommunikationsfahigkeit gegenuber technischen und fachlichen Stakeholdern
Teamfahigkeit und Bereitschaft zur Wissensweitergabe

Interessiert?
Bitte senden Sie uns Ihren aktuellen Lebenslauf, Ihre Verfugbarkeit sowie Ihre Stundensatzvorstellung.
Wir freuen uns auf Ihre Ruckmeldung.
Kontaktaufnahme gerne uber Freelancermap, per E-Mail oder uber LinkedIn.
Vielen Dank fur Ihr Interesse!

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
apply for this job

Apply