Remote SecOps Data & Analytics Engineer

Remote; San Francisco (CA); Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Remote workforce primarily (U.S. based

Group Medical Insurance options

Group Dental Insurance

12 corporate holidays

Flexible Time Off (FTO)

Mobile phone and home internet stipend

Retirement plan eligibility

Pet Benefit Option

Job summary

GuidePoint Security is seeking a skilled Security Data and Analytics Engineer to support data pipelines and analytics platforms across client environments. You will develop data-source integrations, transformations, and data-quality controls while delivering high-value service to clients and internal teams.

The role emphasizes strong data engineering, troubleshooting, and communication with technical leads, project managers, and stakeholders, including SIEM, detection, and automation support.

Qualifications

• Two to five years of experience in data engineering, log management, observability, analytics engineering, platform engineering, or 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 with JSON, XML, CSV, key-value data, syslog, or CEF.
• Understanding of APIs, authentication, certificates, service accounts, network connectivity, and integration concepts.
• Basic scripting with Python, PowerShell, JavaScript; SQL and data transformation languages.

Responsibilities

• Configure and support data ingestion from applications, infrastructure, cloud services, security tools, and business systems.
• Develop and maintain pipelines to collect, route, filter, enrich, transform, mask, aggregate, and deliver data.
• Implement parsing, field extraction, schema mapping, timestamp handling, and data-type conversion.
• Validate data completeness, consistency, accuracy, timeliness, and destination delivery; troubleshoot issues.
• Contribute to reusable pipeline patterns, parsers, and validation routines.
• Document source inventories, data flows, dependencies, and quality issues.
• Maintain awareness of data technologies including AI-enabled data tools.
• Coordinate with client environments and source-system teams.

Skills

Data engineering

Log management

Observability

Analytics engineering

Platform engineering

APIs

Python

PowerShell

JavaScript

SQL

Education

Bachelor’s degree in data engineering, information technology, computer science, cybersecurity, or related field

Equivalent professional and military experience

Job description

GuidePoint Security is seeking a skilled Security Data and Analytics Engineer to support data pipelines and analytics platforms across client environments. You will develop data-source integrations, transformations, and data-quality controls while delivering high-value service to clients and internal teams.

The role emphasizes strong data engineering, troubleshooting, and communication with technical leads, project managers, and stakeholders, including SIEM, detection, and automation support.