SecOps Data & Analytics Engineer

GuidePoint Security

. Configure and support data ingestion from applications, infrastructure, cloud services, security tools, and business systems using agents, APIs, webhooks, syslog, object storage, message queues, and native integrations .

Posted 9/15/2026full-timeRemote • United StatesJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data engineering and pipeline development, with a strong focus on data ingestion, transformation, and validation. Proficient in working with both structured and unstructured data formats while leveraging emerging technologies and analytics tools.

Highest-signal resume keywords

Data Pipeline DevelopmentData Ingestion TroubleshootingStructured And Unstructured Data HandlingBasic Scripting In PythonExperience With APIs And Integrations

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringLog ManagementObservabilityAnalytics EngineeringData TransformationData ValidationJSONXMLCSVSQL

Soft Skills

CommunicationCollaborationProblem-Solving

Tools & Technologies

Data Pipeline PlatformsAnalytics ToolsSIEMCloud ServicesEmerging AI Technologies

Industry Keywords

Data ArchitectureData QualityIntegration ConceptsData FlowsData Sources

Tech Stack

Tools & technologies

CloudCyber SecurityJavaScriptPythonSQL

About the role

Key responsibilities & impact

Configure and support data ingestion from applications, infrastructure, cloud services, security tools, and business systems using agents, APIs, webhooks, syslog, object storage, message queues, and native integrations
Develop and maintain pipelines that collect, route, filter, enrich, transform, mask, aggregate, and deliver data to supported destinations
Implement parsing, field extraction, schema mapping, timestamp handling, data-type conversion, and normalization for structured and unstructured data
Validate data completeness, consistency, accuracy, timeliness, and destination delivery while troubleshooting malformed, duplicated, delayed, or missing data
Contribute to reusable pipeline patterns, parsers, transformation logic, validation routines, data dictionaries, and implementation standards
Participate in data architecture assessments and document source inventories, data flows, dependencies, ownership, quality issues, and recommendations
Maintain awareness of data pipeline, analytics, log-management, observability, cloud, and emerging AI-enabled data technologies
Execute technical work across multiple client environments while managing delivery priorities, dependencies, and source-system coordination
Communicate data-quality issues, technical risks, progress, and scope considerations to technical leads, project managers, and client stakeholders
Support regional delivery priorities and collaborate with SecOps engineers when data pipelines support SIEM, detection, investigation, or automation requirements

Requirements

What you’ll need

Two to five years of experience in data engineering, log management, observability, analytics engineering, platform engineering, or a related field
Hands-on experience with at least one data pipeline, analytics, log-management, or observability platform
Experience onboarding data sources and troubleshooting ingestion, transformation, processing, or destination-delivery issues
Experience working with structured and unstructured data formats such as JSON, XML, CSV, key-value data, syslog, or CEF
Understanding of APIs, authentication, certificates, service accounts, network connectivity, and integration concepts
Basic scripting experience with Python, PowerShell, JavaScript, or a similar language
Familiarity with SQL, platform-specific query languages, or data transformation languages
Bachelor’s degree in data engineering, information technology, computer science, cybersecurity, or a related field, or equivalent professional and military experience
Ability to embrace emerging technologies, including AI tools

Benefits

Comp & perks

Remote workforce primarily (U.S. based only, some travel may be required for certain positions, working on-site may be required for Federal positions)
Group Medical Insurance options: Zero Deductible PPO Plan; GuidePoint pays 90% of the premium for employees and 70% for family plans; High Deductible Health Plan with HSA; GuidePoint pays 100% of employees' premiums and 75% for family plans
HSA contributions of $850 per employee annually or $1,750 per family annually, paid in 4 equal quarterly installments
Group Dental Insurance; GuidePoint pays 100% of the premium for employees and 75% of family plans
12 corporate holidays
Flexible Time Off (FTO) program
Healthy mobile phone and home internet allowance
Eligibility for retirement plan after 2 months at open enrollment
Pet Benefit Option