Remote SecOps Data & Analytics Engineer

GuidePoint Security LLC; Polska; Hybrid; PLN 352,000 - 509,000; Full time

Benefits offered by this job

Remote work

Group medical insurance

Group dental insurance

13+ holidays and Flexible Time Off

Internet allowance

Retirement plan

Job summary

GuidePoint Security is seeking a SecOps Data & Analytics Engineer for the North Central region (Remote in the U.S.). You will design and optimize data pipelines, integrate data sources, and ensure data quality across security analytics platforms.

The role emphasizes hands-on data engineering, troubleshooting, and client communication, with collaboration across SecOps engineers and project teams to support SIEM, detection, and automation needs.

Qualifications

• 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.

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 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.

Skills

Data engineering

Log management

Observability

Analytics engineering

Platform engineering

Education

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

Tools

JSON

XML

CSV

CEF

Job description

GuidePoint Security is seeking a SecOps Data & Analytics Engineer for the North Central region (Remote in the U.S.). You will design and optimize data pipelines, integrate data sources, and ensure data quality across security analytics platforms.

The role emphasizes hands-on data engineering, troubleshooting, and client communication, with collaboration across SecOps engineers and project teams to support SIEM, detection, and automation needs.