SecOps Data & Analytics Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Set up and provide support for data ingestion from applications, infrastructure, cloud services, security tools, and business systems utilizing agents, APIs, webhooks, syslog, object storage, message queues, and native integrations.

• Create and sustain pipelines that collect, route, filter, enrich, transform, mask, aggregate, and deliver data to designated destinations.

• Execute parsing, field extraction, schema mapping, timestamp management, data-type conversion, and normalization for both structured and unstructured data.

• Ensure data completeness, consistency, accuracy, timeliness, and proper delivery while addressing issues related to malformed, duplicated, delayed, or missing data.

• Contribute to the development of reusable pipeline patterns, parsers, transformation logic, validation routines, data dictionaries, and implementation standards.

• Engage in data architecture evaluations and document source inventories, data flows, dependencies, ownership, quality concerns, and recommendations.

• Stay informed about data pipelines, analytics, log management, observability, cloud technologies, and emerging AI-enabled data solutions.

• Perform technical tasks across various client environments while managing delivery priorities, dependencies, and coordination with source systems.

• Report on data quality issues, technical risks, progress, and scope considerations to technical leads, project managers, and client stakeholders.

• Assist in regional delivery priorities and work alongside SecOps engineers when data pipelines support SIEM, detection, investigation, or automation needs.

⛳️ Requirements

• Two to five years of experience in data engineering, log management, observability, analytics engineering, platform engineering, or a related discipline.

• Practical experience with at least one data pipeline, analytics, log management, or observability platform.

• Familiarity with onboarding data sources and resolving ingestion, transformation, processing, or delivery challenges.

• Experience with structured and unstructured data formats such as JSON, XML, CSV, key-value data, syslog, or CEF.

• Knowledge of APIs, authentication, certificates, service accounts, network connectivity, and integration concepts.

• Basic scripting proficiency in Python, PowerShell, JavaScript, or a comparable language.

• Understanding of 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.

• Willingness to adapt to new technologies, including AI tools.

🏝️ Benefits

• Primarily remote workforce (U.S. based only; some travel may be necessary for specific positions, and on-site work may be required for Federal roles).

• Group Medical Insurance options: Zero Deductible PPO Plan; GuidePoint covers 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.

• Annual HSA contributions of $850 per employee or $1,750 per family, distributed in four equal quarterly installments.

• Group Dental Insurance; GuidePoint covers 100% of the premium for employees and 75% for family plans.

• 12 corporate holidays.

• Flexible Time Off (FTO) program.

• Allowance for healthy mobile phone and home internet expenses.

• Eligibility for a retirement plan after 2 months during open enrollment.

• Pet Benefit Option.