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 ...
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 ...
Remote/Homebased Full time JR014145 The Principal Solution Architect is a senior leadership role ... Snowflake, Databricks, or similar data platforms * Clean room technologies * Customer Data ...
New
Remote/Homebased Full time JR014145 The Principal Solution Architect is a senior leadership role ... Snowflake, Databricks, or similar data platforms * Clean room technologies * Customer Data ...
New
Remote/Homebased Full time JR014145 The Principal Solution Architect is a senior leadership role ... Snowflake, Databricks, or similar data platforms * Clean room technologies * Customer Data ...
New
Remote/Homebased Full time JR014145 The Principal Solution Architect is a senior leadership role ... Snowflake, Databricks, or similar data platforms * Clean room technologies * Customer Data ...
New
Experience working with modern cloud data platforms such as Snowflake and Databricks. * Proficiency in Python, SQL, JSON, or similar technologies to support data analysis, automation, and reporting ...
New
Experience working with modern cloud data platforms such as Snowflake and Databricks. * Proficiency in Python, SQL, JSON, or similar technologies to support data analysis, automation, and reporting ...
New
Experience working with modern cloud data platforms such as Snowflake and Databricks. * Proficiency in Python, SQL, JSON, or similar technologies to support data analysis, automation, and reporting ...
New
Experience working with modern cloud data platforms such as Snowflake and Databricks. * Proficiency in Python, SQL, JSON, or similar technologies to support data analysis, automation, and reporting ...
New
Experience working with modern cloud data platforms such as Snowflake and Databricks. * Proficiency in Python, SQL, JSON, or similar technologies to support data analysis, automation, and reporting ...
New
Experience working with modern cloud data platforms such as Snowflake and Databricks. * Proficiency in Python, SQL, JSON, or similar technologies to support data analysis, automation, and reporting ...
New
Experience working with modern cloud data platforms such as Snowflake and Databricks. * Proficiency in Python, SQL, JSON, or similar technologies to support data analysis, automation, and reporting ...
New
Experience working with modern cloud data platforms such as Snowflake and Databricks. * Proficiency in Python, SQL, JSON, or similar technologies to support data analysis, automation, and reporting ...
New
Technical Analyst - IntelliScript (Remote)
Brookfield, WI · On-site +1
Familiar with Databricks and AWS * The ability to work with confidential and sensitive information ... This position is open to remote work anywhere in the US. Applicants must be willing to travel to ...
New
Technical Analyst - IntelliScript (Remote)
Brookfield, WI · On-site +1
Familiar with Databricks and AWS * The ability to work with confidential and sensitive information ... This position is open to remote work anywhere in the US. Applicants must be willing to travel to ...
New
Technical Analyst - IntelliScript (Remote)
Brookfield, WI · On-site +1
Familiar with Databricks and AWS * The ability to work with confidential and sensitive information ... This position is open to remote work anywhere in the US. Applicants must be willing to travel to ...
Technical Analyst - IntelliScript (Remote)
Brookfield, WI · On-site +1
Familiar with Databricks and AWS * The ability to work with confidential and sensitive information ... This position is open to remote work anywhere in the US. Applicants must be willing to travel to ...
Senior Continuous Improvement Specialist - ZLA
Darien, WI · Remote
$82K - $120K/yr
Proficiency with Power BI, Databricks, and advanced Microsoft Excel for analysis and visualization ... Noise levels can be high, and temperatures may vary. #LI-Remote #LI-MH1 #LI-MSL Compensation Pay ...
Senior Continuous Improvement Specialist - ZLA
Darien, WI · Remote
$82K - $120K/yr
Proficiency with Power BI, Databricks, and advanced Microsoft Excel for analysis and visualization ... Noise levels can be high, and temperatures may vary. #LI-Remote #LI-MH1 #LI-MSL Compensation Pay ...
Remote Databricks information
What is a remote Databricks engineer?
Remote Databricks jobs are positions that involve working with the Databricks data analytics platform from a location outside of a traditional office, typically from home or another remote setting. These roles often focus on developing data pipelines, analyzing big data, building machine learning models, or managing cloud infrastructure using Databricks. Employees use collaboration tools and cloud-based environments to connect with their teams and access the Databricks platform securely. Remote Databricks jobs may be available for data engineers, data scientists, machine learning engineers, and DevOps professionals. The flexibility of remote work allows professionals to collaborate with global teams while leveraging Databricks’ powerful data processing and analytics capabilities.
How does a remote Databricks engineer typically collaborate with cross-functional teams?
As a remote Databricks engineer, you will frequently work with data scientists, analysts, and other engineers through virtual collaboration tools such as Slack, Jira, and Zoom. Regular stand-up meetings, code reviews, and shared documentation platforms help maintain alignment across distributed teams. You'll often contribute to shared Databricks notebooks and participate in sprint planning to ensure data pipelines and analytics workflows meet business requirements. Effective communication and proactive documentation are key to successful remote collaboration in this role.
What are the key skills and qualifications needed to thrive as a remote Databricks engineer?
To thrive as a Remote Databricks Engineer, you need a strong background in data engineering, cloud computing (especially Azure or AWS), and proficiency in languages like Python or Scala, often supported by a degree in computer science or a related field. Familiarity with Databricks platform tools, Spark, SQL, and relevant certifications such as Databricks Certified Data Engineer Associate are typically required. Strong problem-solving, communication, and self-motivation skills help you excel in remote and collaborative data-driven environments. These skills are essential for efficiently designing scalable data solutions and collaborating virtually to drive business value.
What are the most commonly searched types of Databricks jobs in Wisconsin?
The most popular types of Databricks jobs in Wisconsin are:
What are popular job titles related to Remote Databricks jobs in Wisconsin?
For Remote Databricks jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Remote Databricks jobs in Wisconsin look for?
The top searched job categories for Remote Databricks jobs in Wisconsin are:
What cities in Wisconsin are hiring for Remote Databricks jobs?
Cities in Wisconsin with the most Remote Databricks job openings:
Contractor
Re-posted 28 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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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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