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Overnight Azure Data Scientist Jobs (NOW HIRING)

Azure Data Engineer

$117K - $140K/yr

Azure Data Engineer Associate (or higher), Azure Data Factory, Job Summary: We are seeking a highly ... Collaborate with data analysts, data scientists, and other stakeholders to understand data ...

Senior Data Scientist Senior Data Scientist Who are we? Versant Health is one of the nation ... Azure Synapse Analytics (dedicated & serverless SQL pools) * Azure Data Factory (Fabric Data ...

Data Scientist

Tampa, FL · On-site

$130K - $140K/yr

Skills / Experience: * 8+ years in data science or Applied ML roles; 3+ years of experience in Databricks in production * 5+ years of experience in Python -- Pandas, PySpark, scikit-learn, Azure ML ...

Skills / Experience: * 8+ years in data science or Applied ML roles; 3+ years of experience in Databricks in production * 5+ years of experience in Python - Pandas, PySpark, scikit-learn, Azure ML or ...

Senior Azure Data Engineer

Atlanta, GA · On-site

$61 - $79.50/hr

Master's or Bachelor's Degree with coursework focused on Data & Analytics, Data Science, Data ... Azure Data Engineer Associate Certification) preferred * Minimum 3 years of experience working on ...

Data Scientist Salary - Market (DOE) REMOTE / Work From Home Full-Time / Direct-Hire As Data ... MLOps & CI/CD for ML - MLflow, GitHub Actions, or Azure DevOps pipelines to automate model ...

Azure AI Apps Architect

Dallas, TX · On-site

$62.75 - $82/hr

Azure Data Scientist Associate), or Databricks ML Data Scientist Certifications a plus • Experience with GitHub or Azure DevOps • Prior consulting and business development experience a plus ...

Azure Data Architect

Malvern, PA · Remote

$65 - $84.75/hr

Azure Data Architect Location: Remote Duration: Long Term Contract Visa- Only US Citizen, H4 EAD ... Good to have domain knowledge of Life science (any of them Healthcare, Pharma, Med-Tech, Med ...

Azure Data Engineer

New York, NY · On-site

$125K - $150K/yr

Azure Data Engineer Date: Start Date: 10/01/2025 Assist in building and maintaining the ... Work with data scientists, analysts, and marketers to understand business needs and translate them ...

Azure Data Architect

Mahwah, NJ

$64.25 - $83.75/hr

Azure Data Architect Location: - Mahwah, NJ (Hybrid) Employment Type: : Contract/Fulltime (FTE ... Good to have domain knowledge of Life science (any of them Healthcare, Pharma, Med-Tech, Med ...

Azure Data Architect

Jersey City, NJ

$66.25 - $86.25/hr

Relevant experience of 5+ Years of experience as Azure Data Architect Azure Architect with 5+ years ... Good to have domain knowledge of Life science (any of them Healthcare, Pharma, Med- Tech, Med ...

Azure Data Engineer

Fairfax, VA · On-site

$113K - $136K/yr

BA/BS/MS in Computer Science, Engineering, or an equivalent combination of education and/or ... One or more Microsoft Azure Cloud Certifications (e.g., Azure Data Engineer Associate, Azure ...

azure data architect

Winters, TX · On-site +1

$60.50 - $78.75/hr

Bachelor's degree in Computer Science, Information Technology, or a related field * 8+ years of experience in data architecture and design * Strong proficiency in Azure Data services (Azure SQL ...

Data Scientist

Fredericksburg, VA · On-site

$60 - $70/hr

Implement ETL processes and maintain scalable data storage on cloud platforms such as AWS, Azure ... Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Engineering, or ...

Azure Data Engineer

Newtown Square, PA · Hybrid

$109K - $131K/yr

Role Overview The Azure Data Engineer designs, builds, and optimizes large scale cloud data ... Work with product owners, data scientists, analysts, and architects to translate business ...

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Overnight Azure Data Scientist information

See salary details

$46K

$165K

$243.5K

How much do overnight azure data scientist jobs pay per year?

As of Jun 13, 2026, the average yearly pay for overnight azure data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What time is considered overnight?

For an overnight Azure Data Scientist role, overnight hours typically refer to the period from late evening to early morning, commonly between 10:00 PM and 6:00 AM. These hours may vary depending on the company's schedule or project requirements, and working overnight often involves shift work or flexible hours to support 24/7 data operations.

Is overnight one word or two?

In the context of an overnight Azure Data Scientist, the term 'overnight' is written as one word. It typically describes work scheduled during the night or outside regular hours, which may be relevant for shift-based roles or tasks requiring off-hours data processing.

What are the key skills and qualifications needed to thrive as an Overnight Azure Data Scientist, and why are they important?

To thrive as an Overnight Azure Data Scientist, you need a strong background in data science, statistics, and machine learning, typically backed by a relevant degree and experience with cloud-based analytics. Proficiency with Microsoft Azure tools (such as Azure Machine Learning, Data Factory, and Databricks), Python or R, and relevant certifications like Microsoft Certified: Azure Data Scientist Associate are commonly required. Excellent problem-solving, communication, and the ability to work independently during overnight hours are critical soft skills. These competencies ensure robust data solutions, seamless collaboration across teams, and reliable support for real-time business needs during off-peak hours.

What is an Overnight Azure Data Scientist?

An Overnight Azure Data Scientist is a professional who works primarily during nighttime or non-standard hours to analyze, process, and interpret large data sets using Microsoft Azure's cloud computing tools and services. Their responsibilities often include building and deploying machine learning models, managing data pipelines, and ensuring the reliability of data-driven systems outside of typical business hours. This role is crucial for organizations that require 24/7 data operations, global collaboration, or support for real-time analytics.

What are some unique challenges faced by Overnight Azure Data Scientists, and how can they effectively collaborate with daytime teams?

Overnight Azure Data Scientists often encounter challenges such as limited real-time access to stakeholders and the need to synchronize work with daytime teams. Effective communication through detailed documentation and regular handoff meetings is crucial to ensure project continuity. Leveraging Azure's collaborative tools, such as shared notebooks and automated reports, helps maintain alignment and smooth transitions between shifts. Building strong relationships with colleagues across time zones also enhances collaboration and project efficiency.

What is the difference between Overnight Azure Data Scientist vs Data Analyst?

AspectOvernight Azure Data ScientistData Analyst
Required CredentialsAzure certifications, data science degrees, programming skillsData analysis courses, basic SQL, Excel skills
Work EnvironmentCloud platforms, data science teams, project-basedOffice settings, reporting teams, business units
Employer & Industry UsageTech companies, finance, healthcare using AzureRetail, marketing, finance across various industries

Overnight Azure Data Scientists focus on developing machine learning models and data solutions using Azure cloud services, often working in technical, project-driven environments. Data Analysts primarily interpret data, generate reports, and support business decisions with less emphasis on cloud platforms or advanced modeling. While both roles analyze data, the Azure Data Scientist requires specialized cloud and programming skills, making their work more technical and cloud-centric.

Is overnight one day?

In the context of an overnight Azure Data Scientist role, 'overnight' typically refers to a work shift that occurs during nighttime hours, often spanning a single calendar day. It does not mean the role lasts for one day, but rather that the work is scheduled during overnight hours, which may be part of a multi-day schedule depending on the employer's needs.
What cities are hiring for Overnight Azure Data Scientist jobs? Cities with the most Overnight Azure Data Scientist job openings:
What are the most commonly searched types of Azure Data Scientist jobs? The most popular types of Azure Data Scientist jobs are:
What states have the most Overnight Azure Data Scientist jobs? States with the most job openings for Overnight Azure Data Scientist jobs include:
Azure Data Engineer

$117K - $140K/yr

Contractor

Posted 20 days ago


Job description

Must Have: Certification: Required - Microsoft Certified: Azure Data Engineer Associate (or higher), Azure Data Factory,
Job Summary:
We are seeking a highly skilled Data Engineer with strong expertise in Azure Data Factory, Azure Databricks, Oracle, and PostgreSQL. The ideal candidate will design and implement robust data pipelines, optimize data flows, and contribute to our cloud data platform initiatives using the Microsoft Azure ecosystem.
Key Responsibilities:
  • Design, build, and maintain scalable data pipelines using Azure Data Factory and Databricks (Spark-based).
  • Ingest, transform, and orchestrate data from various sources including Oracle and PostgreSQL databases.
  • Collaborate with data analysts, data scientists, and other stakeholders to understand data requirements and deliver clean, reliable data.
  • Optimize performance of data workflows, especially within Azure environments.
  • Implement data quality checks, lineage tracking, and monitoring processes.
  • Follow and contribute to data governance, security, and compliance policies.
  • Participate in code reviews, documentation, and continuous improvement initiatives.

Required Skills & Experience:
  • Strong hands-on experience with Azure Data Factory and Azure Databricks (PySpark/Scala preferred).
  • Solid working knowledge of Oracle and PostgreSQL databases, including writing efficient SQL queries.
  • Proficient in building ETL/ELT workflows and data orchestration on Azure.
  • Experience with Azure storage solutions (Blob Storage, ADLS Gen2).
  • Strong understanding of data modeling, warehousing concepts, and performance optimization.
  • Familiarity with CI/CD pipelines in Azure DevOps is a plus.
  • Excellent problem-solving skills and ability to work independently or in a team.