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Geospatial Data Engineer Remote Jobs in Delaware

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

The Chemours Company

Senior AI Engineer

Wilmington, DE · On-site +1

$101K - $139K/yr

This is a remote role and will report directly to the Head of Data Science & AI. The role ... As a Senior AI Engineer, your experience as a mentor and your ability to developing clean, scalable ...

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 ...

Smvsoft LLC.

Golang Engineers

Wilmington, DE · Remote

GoLang Developer family:Calibri,sans -serif">Location : 100% remote Duration : Longterm family ... • Strong knowledge in software architecture, data structures, modern design patterns ...

Agilent

Adobe Target Lead Engineer

Wilmington, DE · On-site +1

$116K - $182K/yr

... develop data-driven strategies that improve customer engagement and conversion. If you're ... This is a hybrid role: 2 days remote, 3 days in the office Key Responsibilities: * Own the design ...

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Geospatial Data Engineer Remote information

What is a Geospatial Data Engineer?

A Geospatial Data Engineer is a technology professional who designs, develops, and manages systems for collecting, storing, analyzing, and visualizing geospatial (location-based) data. They work with geographic information systems (GIS), spatial databases, and cloud platforms to process large datasets from sources like satellites, drones, and sensors. In a remote setting, they collaborate with teams online to build and maintain geospatial data pipelines and support decision-making for industries such as urban planning, environmental science, and logistics.

What are the key skills and qualifications needed to thrive as a Geospatial Data Engineer in a remote role, and why are they important?

To thrive as a Geospatial Data Engineer (Remote), you need a strong background in GIS, geospatial analysis, and computer science, often supported by a related degree and experience with spatial databases. Proficiency with tools like Python, SQL, PostGIS, ArcGIS, and cloud platforms is typically required, along with relevant certifications such as GISP. Excellent problem-solving, communication, and self-management skills are essential for collaborating across distributed teams and delivering results independently. These skills ensure effective management of complex geospatial datasets, seamless integration of spatial data solutions, and success in a remote work environment.

What is the difference between Geospatial Data Engineer Remote vs GIS Analyst?

AspectGeospatial Data Engineer RemoteGIS Analyst
Required CredentialsBachelor's in GIS, Geography, Computer Science; experience with GIS software and programmingBachelor's in Geography, GIS, or related field; proficiency in GIS tools
Work EnvironmentRemote, often collaborative with teams across locationsTypically office-based or hybrid; fieldwork possible
Employer & Industry UsageTech companies, government agencies, environmental firmsUrban planning, government, environmental consulting
Common Search & ComparisonOften compared for GIS and data engineering roles in remote settings

The main difference between a Geospatial Data Engineer Remote and a GIS Analyst lies in their focus and skill set. Geospatial Data Engineers primarily develop and maintain data pipelines and infrastructure, often requiring programming skills, while GIS Analysts focus on spatial data analysis and map creation. Both roles may work remotely and share similar educational backgrounds, but their daily tasks and technical expertise differ significantly.

What are the typical challenges faced by remote Geospatial Data Engineers when collaborating with distributed teams?

Remote Geospatial Data Engineers often navigate challenges such as coordinating across different time zones, ensuring data consistency, and maintaining effective communication with team members who may have varying technical backgrounds. Utilizing collaborative tools like version control systems and cloud-based platforms helps streamline workflows, but clear documentation and regular check-ins are essential to prevent misunderstandings. Building strong relationships virtually and proactively addressing technical or logistical issues can greatly enhance productivity and teamwork in a remote setting.
What are popular job titles related to Geospatial Data Engineer Remote jobs in Delaware? For Geospatial Data Engineer Remote jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Geospatial Data Engineer Remote jobs in Delaware look for? The top searched job categories for Geospatial Data Engineer Remote jobs in Delaware are:
What cities in Delaware are hiring for Geospatial Data Engineer Remote jobs? Cities in Delaware with the most Geospatial Data Engineer Remote job openings:
Geospatial Data Engineer Remote jobs near you
SIEM Engineer

SIEM Engineer

Mondo

Wilmington, DE • Remote

$75 - $80/hr

Contractor

Medical, Dental, Vision, Retirement

Posted 10 days ago

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.