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Day Azure Databricks Jobs in Wisconsin (NOW HIRING)

... day Rahmenbedingungen Start: Marz/April 2026 Laufzeit: 3 Jahre (optional verlangerbar bis max. 5 ... API- und Schnittstellendesign, Orchestrierung mit Azure Functions und Logic Apps) Aufbau und ...

Data Architect

Milwaukee, WI

$62.75 - $80.75/hr

At Concurrency, we believe in living out our core values every day. These principles guide our ... Azure Data Factory / Fabric Pipelines, Databricks (PySpark), SQL, and cloud-native data services

Data Architect

Milwaukee, WI · On-site

$62.75 - $80.75/hr

At Concurrency, we believe in living out our core values every day. These principles guide our ... Azure Data Factory / Fabric Pipelines, Databricks (PySpark), SQL, and cloud-native data services

Senior Back-End Developer

Milwaukee, WI · On-site

$118K - $154K/yr

... every day, for our clients, our people, and our communities through industry-focused wealth ... Databricks experience preferred * Bachelor's degree or a combination of relevant experience and ...

New

Senior Back-End Developer

Madison, WI · On-site

$121K - $157K/yr

... every day, for our clients, our people, and our communities through industry-focused wealth ... Databricks experience preferred * Bachelor's degree or a combination of relevant experience and ...

New

Be Seen First

Data & Integration Manager

Brookfield, WI · On-site

$150K - $175K/yr

Own enterprise data platform strategy, architecture, and delivery for Azure Databases, Dataverse ... Hands-on and/or leadership experience with Power BI, Power Apps, Power Automate, Databricks, SQL ...

Software Engineer, Data (L1)

Stevens Point, WI · On-site

$111K - $133K/yr

Software Engineer, Data (L1) Austin, TX (Onsite 4 days per week) Note: This is a full-time role and ... Our data storage layer includes BigQuery, Databricks, Azure, and Postgres. Across our broader tech ...

Senior Data Engineer

Kenosha, WI · On-site

$96K - $148K/yr

... Python, Azure or Databricks is a plus. * Uline does not participate in the H1-B lottery. Benefits * Complete health insurance coverage and 401(k) with 6% employer match that starts day one!

Senior Data Engineer

Pleasant Prairie, WI · On-site

$96K - $148K/yr

... Python, Azure or Databricks is a plus. * Uline does not participate in the H1-B lottery. Benefits * Complete health insurance coverage and 401(k) with 6% employer match that starts day one!

Experience with Databricks and cloud platforms, particularly Microsoft Azure * Prior exposure to ... Full-time employees accrue 15 days per year, and employees working less than full-time accrue PTO ...

Senior Director DevOps

Milwaukee, WI · On-site

$128K - $164K/yr

... day - quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile ... Azure; 6 years working with Databricks, Snowflake or BigQuery; 6 years working with Cassandra ...

Cyber Data Protection Manager

Milwaukee, WI · Remote

$109K - $147K/yr

... security, Azure/M365 security, Databricks, Snowflake) * 3+ years of professional experience ... Driving day-to-day execution, communicating updates to clients and firm leadership * Providing ...

DevOps Engineer

Milwaukee, WI · On-site

$52 - $71.25/hr

... day - quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile ... Prior experience must include: 4 years working with cloud platforms including AWS, Azure, and GCP ...

... day - quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile ... Azure ML, Databricks ML, and AWS SageMaker; and 2 years contributing to GitHub and open-source ...

Data Architect

Mequon, WI · On-site

$56.50 - $72.75/hr

This position is hybrid, 3 days a week in office in Mequon, WI. Data Architect Position Purpose ... Experience with Azure Data Services, Snowflake, Databricks, PySpark, SQL, Python, Tableau, Power BI ...

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Showing results 1-20

Day Azure Databricks information

What is the difference between Day Azure Databricks vs Data Engineer?

AspectDay Azure DatabricksData Engineer
Primary FocusDeveloping and managing data workflows using Azure Databricks platformBuilding, maintaining, and optimizing data pipelines and infrastructure
Skills & CertificationsAzure certifications, Spark, SQL, Python, data analyticsSQL, ETL tools, cloud platforms, programming languages like Python or Java
Work EnvironmentCloud-based, collaborative data platform within Azure ecosystemVaries; cloud, on-premises, or hybrid environments

Day Azure Databricks specialists focus on leveraging the Azure platform for data processing, while Data Engineers build and maintain the data infrastructure across various environments. Both roles require strong technical skills, but their scope and tools differ, with Day Azure Databricks centered on the Databricks platform and Data Engineers on broader data pipeline development.

What are the most commonly searched types of Azure Databricks jobs in Wisconsin? The most popular types of Azure Databricks jobs in Wisconsin are:
What are popular job titles related to Day Azure Databricks jobs in Wisconsin? For Day Azure Databricks jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Day Azure Databricks jobs in Wisconsin look for? The top searched job categories for Day Azure Databricks jobs in Wisconsin are:
What cities in Wisconsin are hiring for Day Azure Databricks jobs? Cities in Wisconsin with the most Day Azure Databricks job openings:
Infographic showing various Day Azure Databricks job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 26% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

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

Qualysoft

On-site, Remote

Contractor

Re-posted 4 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

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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.
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