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Overnight Databricks Jobs (NOW HIRING)

The role leverages enterprise analytics platforms including Databricks and Microsoft Copilot Studio ... Overnight Travel: * Work may require out-of-town travel depending upon assignment (training and ...

The role leverages enterprise analytics platforms including Databricks and Microsoft Copilot Studio ... Overnight Travel: * Work may require out-of-town travel depending upon assignment (training and ...

Sr. Product Manager - Data Insights

$129K - $170K/yr

... Databricks, Cortex AI, etc.). * Identify opportunities to leverage machine learning and AI to ... Travel 10-25%, including overnight travel Required Education, Experience, Certifications and Skills ...

Senior BI Engineer

Des Peres, MO · On-site

$97K - $134K/yr

Founded in 1981, Lanter Delivery Systems is a national logistics company and a leader in overnight ... with Databricks on Azure and Azure Data Lake is strongly preferred, with comparable cloud data ...

Senior Data Engineer

WV · On-site +1

$95K - $129K/yr

... time basis or overnight batch depending on the individual uses case requirements) and their ... Databricks Certified Data Professional * AWS Certified Data Analytics - Specialty * AWS Certified ...

Overnight Databricks information

What is the difference between Overnight Databricks vs Data Engineer?

AspectOvernight DatabricksData Engineer
Primary FocusData processing, ETL workflows, and analytics using Databricks platformBuilding, maintaining, and optimizing data pipelines and infrastructure
Work EnvironmentCloud-based, collaborative environment with Databricks platformOn-premises or cloud environments, often involving multiple tools
CredentialsKnowledge of Databricks, Spark, SQL, Python; certifications helpfulSQL, Python, cloud certifications, data modeling skills

Overnight Databricks roles focus on managing data workflows within the Databricks platform, often during off-hours for data processing. Data Engineers build and maintain the broader data infrastructure across various tools and environments. While both roles require similar technical skills, Overnight Databricks specialists are more platform-specific, whereas Data Engineers have a wider scope in data architecture.

More about Overnight Databricks jobs

What cities are hiring for Overnight Databricks jobs?

Cities with the most Overnight Databricks job openings:

What are the most commonly searched types of Databricks jobs?

The most popular types of Databricks jobs are:

What states have the most Overnight Databricks jobs?

States with the most job openings for Overnight Databricks jobs include:

Infographic showing various Overnight Databricks job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 20% Part Time, and 1% Contract. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution.

Data Scientist

QuantumClean

Phoenix, AZ • On-site

Full-time

Re-posted 25 days ago


Job description

Join UCT and be part of the fastest-growing sector in the world! We indirectly touch every semiconductor chip that goes into every smartphone, smart car and device that uses artificial intelligence.This is a critical time for the semiconductor industry and for UCT - as technology evolves, we evolve with it. UCT is a diverse workplace where every talented employee is committed to continuous innovation, challenging the status quo and exceeding customer expectations. If you are a person with a relentless drive to succeed, a strong focus on quality with a passion for success – join us today! 

UCT is looking for a talented Data Scientist to join us in Chandler, AZ!

Job Summary:

  • The Data Scientist will serve as a key contributor to the company’s data and analytics strategy, partnering with manufacturing, supply chain, quality, and IT stakeholders to deliver advanced analytics, generative AI, and machine learning solutions. This role focuses on applying statistical modeling, classifier models, and predictive analytics to improve supply chain efficiency, back office, and operational performance.
  • The role leverages enterprise analytics platforms including Databricks and Microsoft Copilot Studio to enable AI-assisted insights and intelligent automation for manufacturing and operations users.

Key Responsibilities:

  • Develop, validate, and deploy machine learning and statistical models to support manufacturing and supply chain use cases such as supplier lead time prediction, inventory segmentation and safety stock optimization, demand forecasting, and predictive cash flow modeling.
  • Design and implement classifier models to identify & predict patterns in product, customer, and supplier taxonomies.
  • ML/Ops: support the full lifecycle of AI Model development & support. Evaluate and monitor model performance, accuracy, and scalability in production environments.
  • Utilize AI to augment IT operations; advocate for augmentation of IT processes using AI including Generative AI for software development (Github Copilot or similar), as well as Agent development in Copilot studio for knowledge management and automation of IT operational workflows.

 Qualifications

  • Education –
    • Bachelor’s degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, or a related field. Master’s degree is a plus.
  • Experience
    • 3- 5 years of experience in data science or advanced analytics, preferably in a high-tech manufacturing environment. Semiconductor equipment manufacturing experience is a definitive advantage.

Technical Skills:

  • Strong proficiency in Python, Scikit-Learn, Optuna
  • Hands-on experience with Databricks, ML/OPS in Databricks, Unity Catalog
  • Experience developing classifier models (Random Forest, KNN, Decision Trees)
  • Strong SQL skills.
  • Experience with Microsoft Copilot Studio development & agent governance
  • Familiarity with Power BI is a plus.

Soft Skills:

  • Excellent communication skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders.
  • Strong problem-solving abilities, with a focus on delivering practical, scalable solutions.
  • Ability to manage multiple projects and priorities, working effectively in a fast-paced, dynamic environment.

Benefits:

  • Competitive salary and performance-based bonuses.
  • Professional development opportunities.

Work Environment:

  • Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions
  • Works in a manufacturing environment.

Physical Demands:

  • Ability to kneel, reach, walk, push, pull and grasp.
  • Ability to lift up to 50 lbs. 
  • Ability to move arms, hands, and fingers
  • Ability to sit for sustained periods.
  • Required to wear personal protective equipment.
  • Prolonged sitting with some standing and bending intermittently during work hours.
  • Subject to interruptions

Environmental Exposure:

  • Required to wear personal protective equipment where applicable.
  • Subject to frequent interruptions.
  • The ability to talk on the phone and use a computer for extended periods may be required.
  • May involve exposure to moderate noise levels from printers, faxes, computers, etc.

Overnight Travel:

  • Work may require out-of-town travel depending upon assignment (training and meeting).

Ultra Clean Technology is proud to be an equal-opportunity employer. We are committed to equal employment opportunity regardless of race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity and expression, marital status, and any other characteristic protected under laws and regulations.