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Remote Azure Data Factory Jobs in Delaware (NOW HIRING)

Mondo

SIEM Engineer

Wilmington, DE · Remote

$75 - $80/hr

SIEM Engineer, REMOTE Start date is ASAP for this 3 to 6 month contract position. Job Title: SIEM ... Analytics logs. • Configure and maintain Data Collection Rules (DCRs) using the Azure Monitor ...

New

Troutman Pepper

Senior Data Engineer

Wilmington, DE · Remote

$102K - $139K/yr

Retrieve data from cloud applications using Azure SQL and build a centralized data lake integrating ... Prior law firm or professional services experience beneficial. #LI-Remote The Firm will comply with ...

Surefire Cyber

Director, DFIR (Remote)

Wilmington, DE · Remote

$185K - $200K/yr

... malware, data theft, and other threats. Our client-centric approach reduces stress and provides ... Azure, and GCP (Google Cloud Platform). * Knowledge of digital forensic artifacts and tools such as ...

ABB

Senior Project Engineer

DE · Remote

$96K - $126K/yr

The work model for this role is: Remote {#LI-Remote} This role is contributing to the ... Leading and supporting commissioning of data centers, paralleling switchgear (PSG), and power ...

Cognizant

Consulting Principal, AI Architect

Dover, DE · Remote

$122K - $194K/yr

Based on this role's business requirements, this is a remote position open to qualified applicants ... Strong knowledge of cloud platforms (AWS, Azure, or GCP) and enterprise data platforms such as ...

CSC Corptax

Senior Tax Research Specialist

Dover, DE · Remote

$69K - $69K/yr

Senior Tax Research Specialist United States Monday to Friday 8:00 am to 5:00 pm Remote We are ... Experience with Visual Studio, Azure DevOps is a plus * Exposure to and interest in tax software ...

All JobsAzure Data Factory JobsRemote Azure Data Factory JobsRemote Azure Data Factory Jobs in Delaware

Remote Azure Data Factory information

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

To thrive as a Remote Azure Data Factory Engineer, you need strong expertise in data integration, ETL processes, and cloud-based data solutions, typically supported by experience in Microsoft Azure and a relevant technical degree. Proficiency in Azure Data Factory, SQL, Power BI, and familiarity with other Azure services or certifications (such as Azure Data Engineer Associate) is highly beneficial. Excellent problem-solving, communication, and time management skills are crucial for effective remote collaboration and troubleshooting. These competencies ensure efficient data pipeline development, seamless data flow, and the ability to deliver robust analytics solutions in distributed environments.

What are some common challenges faced by remote Azure Data Factory professionals, and how can they be addressed?

Remote Azure Data Factory professionals often encounter challenges related to communication and collaboration, especially when integrating data from multiple sources across different teams. To address this, it's essential to establish clear documentation practices, utilize collaboration tools such as Microsoft Teams, and schedule regular check-ins with stakeholders. Additionally, proactively managing data pipeline failures and ensuring security compliance in a remote setting requires strict adherence to best practices and close coordination with IT and security teams. Building a strong support network and maintaining open lines of communication are key to overcoming these challenges and succeeding in the role.

What is the difference between Remote Azure Data Factory vs Remote Data Engineer?

AspectRemote Azure Data FactoryRemote Data Engineer
CredentialsAzure certifications, data integration skillsData engineering certifications, cloud platform knowledge
Work EnvironmentCloud-based, primarily using Azure platformCloud and on-premises environments, broader tech stack
Industry UsageData integration, ETL workflows in AzureData pipeline development, database management
Search & Comparison IntentFocus on specific tool (Azure Data Factory)Broader data engineering roles

Remote Azure Data Factory specialists focus on designing and managing data workflows within the Azure platform, often requiring specific certifications. Remote Data Engineers have a broader scope, building and maintaining data pipelines across various environments. While both roles involve data integration, Azure Data Factory roles are more tool-specific, whereas Data Engineers encompass a wider range of technologies and responsibilities.

What is a Remote Azure Data Factory professional?

A Remote Azure Data Factory professional is an IT specialist who designs, builds, and manages data integration solutions using Microsoft Azure Data Factory while working from a remote location. They create and manage data pipelines to move and transform data between various sources and destinations in the cloud. These professionals often collaborate with data engineers, analysts, and business stakeholders to ensure data is accessible, secure, and reliable for analytics and reporting needs.
What are popular job titles related to Remote Azure Data Factory jobs in Delaware? For Remote Azure Data Factory jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Remote Azure Data Factory jobs in Delaware look for? The top searched job categories for Remote Azure Data Factory jobs in Delaware are:
What cities in Delaware are hiring for Remote Azure Data Factory jobs? Cities in Delaware with the most Remote Azure Data Factory job openings:
Remote Azure Data Factory jobs near you
SIEM Engineer

SIEM Engineer

Mondo

Wilmington, DE • Remote

$75 - $80/hr

Contractor

Medical, Dental, Vision, Retirement

Posted 2 days ago

New

Job description

Apply now: SIEM Engineer, REMOTE Start date is ASAP for this 3 to 6 month contract position.
Job Title: SIEM Engineer
Location-Type: Fully Remote
Start Date: ASAP
Duration: Contract, 3 months firm, up to 6 months
Compensation Range: $75-80/hr W2
Benefits: Eligible for Health, Dental, Vision, and 401K
Visa Sponsorship: Not eligible for visa sponsorship
Job Description:
The client is seeking a skilled SIEM Engineer to architect and build a greenfield Microsoft Sentinel environment from the ground up, integrating multi-source log feeds across on-premises, cloud, and network infrastructure.
Job Summary
•Design, deploy, and scale the Microsoft Sentinel and Log Analytics Workspace architecture for high performance, optimal retention, and cost efficiency.
•Architect and implement scalable log ingestion pipelines, including data transformation, parsing at ingestion using KQL, and cost-optimization strategies such as routing to Auxiliary/Basic logs vs. Analytics logs.
•Configure and maintain Data Collection Rules (DCRs) using the Azure Monitor Agent (AMA) to collect security telemetry from Windows, Linux, and hybrid workloads.
•Build and troubleshoot native Sentinel data connectors and develop custom API integrations for third-party tools where native connectors are unavailable.
•Manage the lifecycle of security data, including exporting cold/warm data to Azure Data Lake Storage (ADLS Gen2) or Azure Storage Accounts for long-term retention and compliance.
•Develop and deploy automated response playbooks using Azure Logic Apps and Azure Function Apps (Python or PowerShell) to orchestrate incident response and enrich alert data.
•Write, tune, and maintain high-fidelity analytical rules, hunting queries, and watchlists using KQL to minimize false positives.
Minimum Requirements:
•6 years of progressive enterprise security operations experience, with at least 3 years of dedicated, hands-on Microsoft Sentinel engineering and deployment.
•Deep understanding of log ingestion methodology, multi-source log feeds (on-premises, cloud, firewalls), and data orchestration principles, not just tooling.
•Proficiency with Azure Monitor, Log Analytics Workspaces, DCR/AMA architecture, and cold/warm/hot storage tiers including data lake integration.
•Strong proficiency in Azure Logic Apps and Azure Function Apps, with scripting ability in PowerShell or Python.
•Experience deploying Azure security resources using Infrastructure as Code tools such as ARM templates, Bicep, or Terraform.
•Demonstrated ability to interface cross-functionally with multiple teams to gather and onboard log sources, with strong project management and organizational skills.
•Advanced KQL proficiency for detection engineering, parsing, and threat hunting.
•Experience with additional SIEM platforms beyond Microsoft Sentinel, with the ability to apply transferable methodology.
•Familiarity with AI/ML tools applied to threat hunting, root-cause analysis, or automated incident response.
•Experience developing and presenting security metrics (MTTD, MTTR) to leadership.
•Relevant certifications such as GCIH, GCFA, GNFA, CISSP, SC-200, or SC-100.