Description
GuidePoint Security is looking for a skilled Security Data and Analytics Engineer to support the implementation, optimization, and operational support of data pipelines and analytics platforms.
The Security Data and Analytics Engineer must demonstrate strong data engineering, technical troubleshooting, and client communication skills. The engineer must lead through influence and apply sound business and financial awareness when making decisions involving data volume, processing cost, platform capacity, project scope, and client value.
Key areas of focus include:
- Establishing reliable and reusable data pipelines.
- Improving data quality, accessibility, and processing efficiency.
- Supporting security, observability, analytics, and operational use cases.
Responsibilities:
- Configure and support data ingestion from applications, infrastructure, cloud services, security tools, and business systems.
- 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:
- 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.
Benefits:
- 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 or High Deductible Health Plan with HSA
- Group Dental Insurance: GuidePoint pays 100% of the premium for employees and 75% of family plans
- 12 corporate holidays and a 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
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