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Overnight Remote Azure Data Engineer Jobs in Washington

System One

Technical Data Steward

Merrifield, VA · Remote

Remote Pay Rate: Open to Both C2C and W2 options Position Type: Multiyear Contract The Technical ... R Data Warehouse (Azure) and its platforms. This role ensures that data is properly defined ...

ICF

Data Engineer (Databricks)

Reston, VA · Remote

$119K - $143K/yr

This position is fully remote with up to 10% travel to the DC Metropolitan area for client meetings ... Databricks on Azure for data engineering and ML pipeline support. * SQL, Python, Spark, Tableau.

ResolveSoft Inc

Be Seen First

Data Engineer

Washington, DC · Remote

$98K - $128K/yr

Remote Position Summary The Data Engineer / Data Project Lead provides technical leadership for ... Experience with cloud platforms (e.g., AWS, Azure). * Knowledge of data governance, security, and ...

A-TEK Inc.

Health IT Data Engineer

Alexandria, VA · Remote

$125K - $135K/yr

This is a remote position requiring all work be performed in the continental United States. US ... Azure Data Factory, Synapse, Databricks, or Microsoft Fabric experience. * Power BI and Tableau ...

Booz Allen Hamilton, Inc.

Data Engineer

Arlington, VA · On-site +1

$62K - $141K/yr

Remote Work: Hybrid Job Number: R0242536 Location: Arlington,VA,US Share job via: Share Data ... Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud * Experience with ...

Booz Allen Hamilton, Inc.

Data Engineer

Arlington, VA · On-site +1

$62K - $141K/yr

Remote Work: Hybrid Job Number: R0242942 Location: Arlington,VA,US Share job via: Share Data ... Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud * Experience with ...

Booz Allen Hamilton, Inc.

Data Engineer

Mclean, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0245992 Location: McLean,VA,US Share job via: Share Data Engineer The ... Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud * Experience with ...

SMX

Cleared Hybrid Data Engineer (5418)

Hanover, MD · On-site +1

$103K - $171K/yr

Experience with Azure Data Factory, AWS Glue, or similar data integration platforms. * Experience ... Exposure to DevOps/CI-CD patterns for data workflows * MuleSoft implementation experience

Steampunk

Data Engineer

Mclean, VA · On-site +1

$125K - $160K/yr

We are looking for more than just a "Data Engineer", but a technologist with excellent ... Alternatively Azure, GCP). * Key must have skill sets - Python, AWS * Support an Agile software ...

ManTech

Principal Azure Cloud Engineer

Chantilly, VA · Remote

$141K - $236K/yr

Leveraging Azure data services such as Azure Monitor, Azure Logging Analytics, Microsoft Defender ... For Remote Opportunities), education and certifications as well as Federal Government Contract ...

Ex Parte, Inc

Data QA Engineer

Bethesda, MD · On-site +1

$122K - $146K/yr

We are is looking for talented, enthusiastic senior data engineers who share our passion for big ... Applied experience with Databricks and/or Azure ML * Strong coding abilities in one or more ...

Viasat, Inc.

Data Engineer

Germantown, MD · On-site +1

$174K - $261K/yr

Our mission is to enable our community of data scientists, analysts, and developers to derive ... Familiarity with at least one cloud provider such as AWS, GCP, or Azure. * Experience in design and ...

Booz Allen Hamilton, Inc.

Data Engineer

Chantilly, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0239070 Location: Chantilly,VA,US Share job via: Share Data Engineer The Opportunity: Ever-expanding technology and collection methodologies means that there is more ...

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Overnight Remote Azure Data Engineer information

What is an overnight remote Azure Data Engineer?

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?

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.
What are the most commonly searched types of Remote Azure Data Engineer jobs in Washington? The most popular types of Remote Azure Data Engineer jobs in Washington are:
What are popular job titles related to Overnight Remote Azure Data Engineer jobs in Washington? For Overnight Remote Azure Data Engineer jobs in Washington, the most frequently searched job titles are:
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Overnight Remote Azure Data Engineer jobs near you

Technical Data Steward

System One

Merrifield, VA • Remote

Contractor

Posted 13 days ago

Job description

Job Title: Technical Data Steward Location: Remote Pay Rate: Open to Both C2C and W2 options Position Type: Multiyear Contract The Technical Data Steward is responsible for the technical data management, governance, integrity and quality of Human Resources data assets for the HR Data Warehouse (Azure) and its platforms. This role ensures that data is properly defined, secured, governed, and usable across systems by partnering with HR business stewards, HR Data Analytics team, engineering teams, and stakeholders. Basic Description Provide technical data stewardship support to the HR Data Analytics team in managing, governing, and optimizing HR data assets. This role ensures data is accurate, secure, and aligned with enterprise data governance standards to support analytics, reporting, and strategic initiatives. Responsibilities 1. Data Governance & Standards • Implement and enforce enterprise data governance policies, standards, and procedures • Ensure execution of governance workstreams, including: o Metadata management o Enterprise quality controls o AI ready metadata o Data quality o Data lifecycle management o Policies and standards compliance • Monitor adherence to technical data standards and drive compliance across the business area 2. Data Management & Technical Oversight • Own technical data decisions on behalf of the Business Data Owner • Provide subject matter expertise on: o Source systems o Data stores and warehouses o ETL processes and pipelines o Business intelligence tools • Ensure proper implementation of data across systems and platforms 3. Metadata, Lineage & Cataloging • Build and maintain a data catalog, including metadata and business glossary • Ensure data definitions, rules, and standards are clearly documented and consistently applied • Capture and maintain data lineage (end-to-end technical flows) 4. Data Quality & Issue Resolution • Drive root cause analysis of data quality issues and coordinate resolution with Enterprise data and HR Analytics teams • Assist in design and implementation data quality audits, controls, and monitoring tools • Plan and lead data cleansing and remediation initiatives 5. Security & Risk Management • Partner with Information Security, HR Data Governance and HR Data teams to implement controls such as: o Role-based access (RBAC) o Persona based access o Row level access o Encryption and data protection standards • Ensure data confidentiality, integrity, and availability across platforms 6. Stakeholder Collaboration • Partner with: o Business Data Stewards o Data Owners o Data Engineering / IT teams • Translate business requirements into technical data solutions • Communicate impacts of data decisions across stakeholder groups Qualifications and Skill Requirements • Ability to work seamlessly and professionally across multiple business units and with all levels of the organization • Oracle HCM / PeopleSoft data experience • Cloud data platforms (Azure Data Lake, Power BI) • Data warehousing concepts (Azure) • Data integration / ETL processes (SQL Server, DataBricks, Azure) • Data quality and data lifecycle management • Enterprise platforms (e.g., data catalogs, BI tools, integration tools) • Data governance frameworks and best practices • Metadata management, lineage, and cataloging • Master data management (MDM) • Experience implementing data governance capabilities across an organization Desired Skills • Strong analytical and problem-solving skills • Ability to translate complex technical concepts for non-technical stakeholders • Attention to detail and commitment to data accuracy • Effective cross-functional communication and collaboration • Oracle HCM / PeopleSoft data experience • Cloud data platforms (Azure Data Lake, Power BI) • Regulatory and HR reporting alignment Ref: #851-Rockville-S1