SecOps Data & Analytics Engineer - North Central region (Remote in the U.S.)
GuidePoint Security2 months ago
Remote, United StatesMid Level / Senior
H1B sponsor
Responsibilities
- 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 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.
- 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 data pipelines for SIEM, detection, investigation, and automation requirements in collaboration with SecOps engineers.
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 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.
- Familiarity with emerging technologies, including AI tools.
- Preferred certifications include data pipeline or routing certifications from Cribl, Onum, Databahn, or comparable providers; observability certifications from Datadog, Dynatrace, Splunk, Elastic, or comparable providers; and cloud certifications from AWS, Microsoft Azure, or Google Cloud.
- Experience with data masking, retention, tiering, aggregation, sampling, or data-reduction strategies is preferred.
- Familiarity with cloud storage, streaming, and logging services is preferred.
- Client-facing consulting or professional services experience is preferred.
- Experience producing source inventories, data mappings, validation reports, pipeline diagrams, or technical documentation is preferred.
Benefits
- Primarily remote U.S.-based work arrangement, with some travel and possible on-site work for certain federal positions.
- Up to 10% travel may be required.
- Medical insurance options include a zero-deductible PPO or a high-deductible health plan with HSA.
- Dental insurance is provided with employer-paid premiums for employees and partial coverage for family plans.
- 12 corporate holidays and a Flexible Time Off program.
- Mobile phone and home internet allowance.
- Eligibility for the retirement plan after two months at open enrollment.
- Pet benefit option.
Tech Stack
Categories
Data Engineering
About GuidePoint Security
GuidePoint Security provides cybersecurity consulting, managed services, and value-added reselling/integration of security products for enterprises and U.S. public-sector agencies. Its teams deliver assessments, penetration testing, cloud and application security, identity and access management, endpoint and network protection, and governance services. Founded in 2011 and headquartered in Reston, Virginia, the privately held company serves Fortune 500 organizations and cabinet-level federal agencies.