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Azure Data Warehouse Developer Jobs in Delaware (NOW HIRING)

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 ... Configure and maintain Data Collection Rules (DCRs) using the Azure Monitor Agent (AMA) to collect ...

Senior Oracle Developer Location: Wilmington DE Duration: 6 months to a year. Interview Type: Phone ... DW - data warehouse * ETL * SQL loader Additional Information Phani phani(at)scoutet(dot)com 609 ...

Lead Data Engineer (Bank Tech)

Wilmington, DE · On-site

$99K - $131K/yr

At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred ... data warehousing experience (Redshift or Snowflake) * 4+ years of experience with UNIX/Linux ...

Hadoop Developer * 7+ Years of experience in the data warehousing architectural approaches and minimum 4 years of experience in Big data(Cloudera). * Excellent working experience in HDFS, Hadoop ...

... data warehouse solutions and platforms, and working knowledge of different databases (e.g., RDBMS ... programming SQL or Python * 5 years of experience mentoring another technologist 5 years of ...

... data warehouse solutions and platforms, and working knowledge of different databases (e.g., RDBMS ... programming SQL or Python * 5 years of experience mentoring another technologist 5 years of ...

... data warehouse solutions and platforms, and working knowledge of different databases (e.g., RDBMS ... programming SQL or Python * 5 years of experience mentoring another technologist 5 years of ...

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Azure Data Warehouse Developer information

What is the difference between Azure Data Warehouse Developer vs Data Engineer?

AspectAzure Data Warehouse DeveloperData Engineer
Primary FocusDesigning and developing data warehouse solutions on AzureBuilding and maintaining data pipelines and infrastructure
Skills & CertificationsAzure SQL, SSIS, T-SQL, Azure Data FactorySQL, Python, ETL tools, cloud platforms
Work EnvironmentData warehousing projects within cloud environmentsBroader data infrastructure across multiple platforms

Azure Data Warehouse Developers specialize in creating data warehouse solutions on Azure, focusing on data storage and retrieval. Data Engineers have a broader role, building data pipelines and infrastructure across various platforms. While both roles require SQL and cloud knowledge, Azure Data Warehouse Developers focus more on data warehousing technologies, whereas Data Engineers handle end-to-end data processing and architecture.

What are popular job titles related to Azure Data Warehouse Developer jobs in Delaware? For Azure Data Warehouse Developer jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Azure Data Warehouse Developer jobs in Delaware look for? The top searched job categories for Azure Data Warehouse Developer jobs in Delaware are:
What cities in Delaware are hiring for Azure Data Warehouse Developer jobs? Cities in Delaware with the most Azure Data Warehouse Developer job openings:
Infographic showing various Azure Data Warehouse Developer job openings in Delaware as of July 2026, with employment types broken down into 89% Full Time, 5% Part Time, and 6% Contract. Highlights an 81% Physical, 6% Hybrid, and 13% Remote job distribution.
SIEM Engineer

SIEM Engineer

Mondo

Wilmington, DE • Remote

$75 - $80/hr

Contractor

Medical, Dental, Vision, Retirement

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


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.