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Overnight Remote Azure Data Engineer Jobs (NOW HIRING)

Noblesoft Technologies

Data Engineer

Seattle, WA · Remote

$117K - $140K/yr

Senior Data Engineer Location: Remote JD: Key Responsibilities • Design and implement ETL ... and Azure Data Factory. • Build and maintain a metadata-driven Lakehouse architecture with ...

Bluelight Consulting

$134K - $161K/yr

Develop and maintain ETL data engineering processes using Python (PySpark) within Azure Synapse ... Remote

Constitution Surgery Alliance

Senior Data Engineer

$130K - $160K/hr

Senior Data Engineer Full-Time | Remote | Healthcare An in-person interview is required for this ... Architect and administer Azure SQL databases including schema design, maintenance, query ...

NAVA Software Solutions

Data Engineer - Remote

Manhattan, NY · On-site +1

$126K - $151K/yr

Data Engineer Location: Remote Project Duration: 6-12 months Responsibilities: * Analysis, design ... Strong data warehousing experience with Azure, Databricks, and Snowflake. * Demonstrated strength ...

Constitution Surgery Alliance

Senior Data Engineer

$130K - $160K/yr

Senior Data Engineer Full-Time | Remote | Healthcare An in-person interview is required for this ... Architect and administer Azure SQL databases including schema design, maintenance, query ...

Bluelight Consulting

$94K - $113K/yr

Develop and maintain ETL data engineering processes using Python (PySpark) within Azure Synapse ... Remote apply for this job

RICEFW Technologies, Inc.

Azure Data Architect

$65.25 - $84/hr

REMOTE Duration: 6+ months Reponsibilities: * Design and implement scalable data solutions using ... Work extensively with Databricks (PySpark) and Snowflake for data engineering and analytics use ...

SolGenie

Senior Data Engineer

$108K - $147K/yr

We have a contract opportunity for Senior Data Engineer ( Remote) with one of our clients. Detailed ... Azure Data Platform experience (Azure Data Factory, Synapse, Databricks) * Metadata-driven ETL ...

New

Noblesoft Technologies

Data Engineer

Bellevue, WA · Remote

$117K - $140K/yr

Data Engineer Location: Bellevue, WA. (Remote) Mandatory Skills: Vectr and Cribl 8+ years of ... Design and develop ETL/ELT pipelines using Azure Data Factory (ADF) and Databricks (PySpark)

IT America Inc

"DATA ENGINEER"

Dallas, TX · Remote

$117K - $140K/yr

Lead Data Engineer & Sr. Data Engineer Location: Remote Duration: CTH/FTE Type: Only W2 Note ... Must have Azure (Azure Data Factory, Azure Synapse Analytics) develop and maintain data pipelines.

MSR Technology Group

ETL Data Engineer

Springfield, IL · Remote

$113K - $136K/yr

Senior Data Engineer - Azure / Python ETL Modernization Remote (U.S.) with Minimal travel (2-3x per year) Overview We're hiring a Senior Data Engineer to lead enterprise ETL modernization initiatives ...

Cognizant

SR Azure Data Factory with SSIS- Remote

$117K - $140K/yr

They are seeking a skilled Azure Data Engineer with strong experience in Azure Data Factory and SSIS to design, develop, and optimize scalable ETL/ELT data pipelines that support enterprise data ...

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Overnight Remote Azure Data Engineer information

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$44.5K

$129.7K

$177.5K

How much do overnight remote azure data engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for overnight remote azure data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What are Overnight Remote Azure Data Engineers?

Overnight Remote Azure Data Engineers are professionals who work remotely, often during nighttime or non-standard business hours, to design, build, and maintain data solutions using Microsoft Azure cloud services. Their responsibilities include setting up data pipelines, managing databases, ensuring data security, and troubleshooting data issues in real-time. Working overnight allows them to support global teams, maintain 24/7 data availability, and perform updates or maintenance during off-peak hours to minimize disruption.

What is the difference between Overnight Remote Azure Data Engineer vs Overnight Remote Data Analyst?

AspectOvernight Remote Azure Data EngineerOvernight Remote Data Analyst
Required CredentialsAzure certifications, SQL, cloud computing skillsData analysis certifications, SQL, Excel proficiency
Work EnvironmentCloud platforms, data pipelines, codingData visualization, reporting, business insights
Employer & Industry UsageTech, finance, healthcare companies using AzureMarketing, retail, finance firms analyzing data

While both roles involve working with data remotely overnight, the Azure Data Engineer focuses on building and maintaining data pipelines in Azure cloud environments, requiring technical certifications and coding skills. The Data Analyst emphasizes interpreting data and creating reports, often using Excel and visualization tools. Their work environments overlap but differ in technical depth and responsibilities.

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

To thrive as an Overnight Remote Azure Data Engineer, you need expertise in data engineering concepts, strong SQL and programming skills (such as Python or Scala), and a solid understanding of Azure cloud services, typically supported by a degree in computer science or a related field. Familiarity with Azure Data Factory, Azure Synapse Analytics, Databricks, and relevant certifications like Microsoft Certified: Azure Data Engineer Associate are highly valued. Excellent problem-solving abilities, self-motivation, and strong written communication are essential soft skills for remote and overnight work. These skills ensure efficient data pipeline management, system reliability, and effective collaboration across distributed teams in a 24/7 environment.

What are the unique challenges of working as an Overnight Remote Azure Data Engineer, and how can I best prepare for them?

As an Overnight Remote Azure Data Engineer, you may face challenges such as troubleshooting urgent data pipeline issues with limited immediate support and managing communication across different time zones. You'll often need to be highly self-reliant, proactive in documenting your work, and skilled at asynchronous collaboration using tools like Microsoft Teams or Slack. To prepare, familiarize yourself with Azure monitoring tools, automate routine checks, and establish clear communication protocols with your daytime counterparts to ensure smooth handoffs and minimize disruptions.
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Overnight Remote Azure Data Engineer jobs near you

Azure Data Bricks Developer

Futran Tech Solutions Pvt. Ltd.

Remote

$117K - $140K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Role: Data Engineer (Sr)
Location: Louisville, Kentucky-USA, Remote.
The Senior Data Engineer will be responsible for the build of the Enterprise Data platform.
Setting up data pipelines that are scalable, robust, and resilient and building pipelines to validate, ingest, normalize/enrich, and business-specific processing of healthcare data.
Build Azure Data Lake leveraging Databricks technology to consolidate all data across the company and serve the data to various products and services.
The scope of this role will include working with engineering, product management, program management, and operations teams in delivering pipeline platform, foundational and application-specific pipelines, and building the Data Lake in collaboration with business and other teams.
Responsibilities
• Design, Develop, Operate and drive scalable and resilient data platforms to address the business requirements
• Drive technology and business transformation through the creation of the Azure Data Lake
• Ensure industry best practices around data pipelines, metadata management, data quality, data governance, and data privacy
• Partner with Product Management and Business leaders to drive Agile delivery of both existing and new offerings; assist with the Leadership and collaboration with engineering organizations within Change to manage and optimize the portfolio
Required Skills
• 10+ / 7+ years working experience in Data processing / ETL / Big data technologies like Informatica, Hadoop, Cloudera
• 3 + / 2+ years of working experience in Databricks (essential) and Python
• Experience with Cloud / Azure architectural components
• Experience building data pipelines and infrastructure
• Deep understanding of Data warehousing concepts, reporting, and Analytical concepts
• Experience with Big Data tech stack, including Hadoop, Java, Spark, Scala, and Hive, NoSQL data stores
• Bachelor's degree in Mathematics, Physical Sciences, Engineering, or Computer Science
Nice to Have skills
• Experience in leading the design and development of large systems
• Demonstrates a strong drive to learn and advocate for the development of best practices
• Proven track record of building and delivering enterprise-class products
• Full Stack Experience (End to End Development)
• Crisp and effective executive communication skills, including significant experience presenting cross-functionally and across all levels

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