1

Overnight Microsoft Data Engineer Jobs in Virginia

Data Engineer

Arlington, VA · On-site

$110K - $130K/yr

As the Commercial Data Engineering team, we are responsible for creating the building blocks that ... Familiarity with cloud platforms such as Microsoft Azure, AWS, or Google Cloud. * Basic knowledge ...

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

Responsibilities As a Data Engineer, you are responsible for designing data models, building data ... Public, private and hybrid Cloud experience (AWS, Microsoft Azure, etc.) * AWS Certified Security ...

Data Engineer

Arlington, VA · On-site

$100 - $125/hr

As a data engineer, you know that organizing big data can yield pivotal insights when it's gathered ... Experience with relational databases and working in a cloud environment, like AWS, Microsoft Azure ...

Data Engineer

Chantilly, VA · On-site +1

$99K - $225K/yr

... Microsoft Azure, or Google Cloud * 5+ years of experience with Distributed data and computing tools ... Agile engineering practices * Experience in executing full data migration lifecycle activities ...

Data Engineer

Herndon, VA · On-site

$150 - $200/hr

Responsibilities As a Data Engineer, you are responsible for designing data models, building data ... Public, private and hybrid Cloud experience (AWS, Microsoft Azure, etc.) * AWS Certified Security ...

New

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

We are seeking to hire a Data Engineer to our team! Client: CTEC develops and delivers innovative ... Microsoft Azure. * Experience implementing layered lakehouse data architectures (bronze, silver ...

Data Engineer

Chantilly, VA · On-site

$118K - $142K/yr

Data Engineer Location: Chantilly, VA Work Schedule: Full-Time, Onsite Clearance Required: Active ... and Microsoft Office files. * Build scalable and maintainable data architectures to support ...

Data Engineer

Mclean, VA · On-site

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud * Experience with ...

Data Engineer

Mclean, VA · On-site

$125 - $150/hr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud * Experience with ...

Data Engineer

Mclean, VA · On-site

$77K - $176K/yr

As a data engineer, you know that organizing data can yield pivotal insights when it's gathered ... Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud * Experience with ...

Data Engineer

Mclean, VA · On-site

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud * Experience with ...

Data Engineer

Arlington, VA · On-site +1

$62K - $141K/yr

Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and ... Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud * Experience with ...

Data Engineer

Mclean, VA · On-site

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud * Experience with ...

Data Engineer

Chantilly, VA · On-site

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud * Experience with ...

Data Engineer

Chantilly, VA · On-site

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud * Experience with ...

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud * Experience with ...

Data Engineer

Arlington, VA · On-site +1

$62K - $141K/yr

Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and ... Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud * Experience with ...

Data Engineer

Mclean, VA · On-site

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud * Experience with ...

Data Engineer

Fort Belvoir, VA · On-site

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud * Experience with ...

Showing results 21-40

Overnight Microsoft Data Engineer information

What is an overnight Microsoft data engineer?

Overnight Microsoft Data Engineers are IT professionals who specialize in developing, managing, and optimizing data solutions using Microsoft technologies during overnight shifts. They work with platforms such as Azure, SQL Server, and Power BI to ensure data pipelines, databases, and analytics systems are running smoothly, often performing maintenance or troubleshooting outside of standard business hours. Their responsibilities may include monitoring data flows, resolving technical issues, and supporting business intelligence needs to ensure data availability and reliability for the next business day.

What are the key skills and qualifications needed to thrive as an overnight Microsoft data engineer?

To thrive as an Overnight Microsoft Data Engineer, you need strong skills in data modeling, ETL processes, and expertise with Microsoft SQL Server and Azure data services, typically supported by a degree in computer science or a related field. Proficiency in tools like Azure Data Factory, SQL Server Integration Services (SSIS), and relevant Microsoft certifications such as Azure Data Engineer Associate are commonly required. Excellent problem-solving abilities, attention to detail, and effective communication are crucial soft skills for quickly resolving issues and collaborating with remote or global teams during overnight shifts. These skills ensure data pipelines remain reliable, secure, and efficient, supporting continuous business operations across time zones.

What are some typical challenges faced by overnight Microsoft data engineers, and how can they be managed effectively?

Overnight Microsoft Data Engineers often encounter challenges such as maintaining system uptime during off-peak hours, managing data pipeline failures, and ensuring data integrity without immediate access to full team support. Effective communication with day teams, thorough documentation, and leveraging automated monitoring tools are essential strategies for overcoming these challenges. Additionally, being proactive in identifying potential issues and collaborating with cross-functional teams during handover meetings helps ensure smooth operations and consistent data quality.

What are popular job titles related to Overnight Microsoft Data Engineer jobs in Virginia?

For Overnight Microsoft Data Engineer jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Overnight Microsoft Data Engineer jobs in Virginia look for?

The top searched job categories for Overnight Microsoft Data Engineer jobs in Virginia are:

What cities in Virginia are hiring for Overnight Microsoft Data Engineer jobs?

Cities in Virginia with the most Overnight Microsoft Data Engineer job openings:

$110K - $130K/yr

Full-time

Re-posted 8 days ago


Key responsibilities

  • Design, develop, and maintain data pipelines using Databricks.

  • Build and optimize ETL/ELT processes to ingest, transform, and load data from various source systems.

  • Monitor data pipeline performance and troubleshoot data quality or processing issues.


Job description

Bloomberg Industry Group runs on data. As the Commercial Data Engineering team, we are responsible for creating the building blocks that allows us to drive analytics throughout the organization to improve our products, engage better with our customers, create greater efficiencies, and drive new businesses by providing data insights. Our data captures the who, what, when, where and why of how our company goes to market. Senior business leaders rely on our work every day to make strategic decisions.

What You Will Do:

  • Design, develop, and maintain data pipelines using Databricks

  • Build and optimize ETL/ELT processes to ingest, transform, and load data from various source systems.

  • Collaborate with business analysts, data scientists, and stakeholders to understand data requirements and deliver reliable datasets.

  • Monitor data pipeline performance and troubleshoot data quality or processing issues.

  • Develop and maintain data models, documentation, and metadata.

  • Support the implementation of data governance, security, and data quality standards.

  • Assist in managing cloud-based data infrastructure and storage solutions.

  • Participate in code reviews and follow best practices for data engineering and software development.

  • Support reporting and analytics teams by creating and maintaining curated data assets.

  • Continuously learn and apply new technologies, tools, and methodologies within the data engineering ecosystem.

You'll Need to Have:

  • 3 years of experience in data engineering, data integration, or related technical roles.

  • Hands-on experience with Databricks preferred.

  • Proficiency in SQL and experience querying large datasets.

  • Experience with Python for data processing and automation.

  • Understanding of ETL/ELT concepts and data pipeline development.

  • Familiarity with cloud platforms such as Microsoft Azure, AWS, or Google Cloud.

  • Basic knowledge of data warehousing concepts and dimensional modeling.

Compensation Range:

$110,000.00-$130,000.00

Placement in the salary range will be decided upon completion of the interview process. Salary determination will be determined based on factors including but not limited to relevant experience, demonstrated skills related to the requirements of the role, education, certifications, and geographic location.


Equal Opportunity


Bloomberg Industry Group maintains a continuing policy of non-discrimination in employment. It is Bloomberg Industry Group's policy to provide equal opportunity and access for all persons, and the Company is committed to attracting, retaining, developing, and promoting the most qualified individuals without regard to age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or maternity/parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law ("Protected Characteristic"). Bloomberg prohibits treating applicants or employees less favorably in connection with the terms and conditions of employment, in all phases of the employment process, because of one or more Protected Characteristics ("Discrimination").