Data Engineer

Security Risk Advisors offers a collaborative, growth-oriented culture with flexible remote options and a competitive salary range of $95,000 to $120,000 per year. Join our Philadelphia area team to help shape Sight, our cybersecurity analytics platform, with opportunities to learn, mentor peers, and impact analytics at scale.

This Data Engineer role focuses on designing and implementing scalable analytics for Sight, emphasizing data modeling, reporting and visualization in Azure Data Explorer and Power BI, plus mentoring junior team members.

Benefits

• Robust training and professional development opportunities, including internal sessions with experts and company-sponsored external training
• Mental health support through BetterHelp
• Medical, dental, and vision insurance
• Company-paid disability and life insurance
• 401(k) plan with an annual 3% safe harbor contribution
• Free patient advocacy service
• Free financial advising
• Generous parental leave, sick leave, and vacation policies
• Remote work flexibility or a flexible schedule when needed and approved
• Company-paid cell phone with discounted accessories
• 1-2-3 Give Program with donation matching
• Other discounted benefits including pet insurance, legal support, and voluntary life insurance

Responsibilities

• Design, develop, and optimize scalable analytics solutions for large and complex datasets using Azure Data Explorer, Kusto Query Language (KQL), and related analytics technologies
• Collaborate with engineers, subject matter experts, and business stakeholders to model, normalize, and analyze data for reporting, operational analytics, and product driven insights
• Build and maintain performant KQL queries, analytical workflows, data models, and reporting structures that support scalable analytics and visualization initiatives
• Design and develop interactive dashboards and reports in Microsoft Power BI to communicate trends, operational health, risk, and business value to technical and non-technical audiences
• Translate raw data and operational telemetry into actionable insights, meaningful metrics, and compelling data stories to support strategic and operational decisions
• Apply statistical analysis, predictive modeling, and analytical techniques to identify trends, anomalies, patterns, and opportunities within large datasets
• Ensure data quality, integrity, and consistency through validation and best practices across reporting and visualization workflows
• Help define and implement best practices for analytics architecture, schema design, data modeling, query optimization, and scalable reporting solutions
• Research, prototype, and introduce innovative analytics methodologies and data driven product capabilities
• Create and maintain documentation for data definitions, business logic, metrics, reporting methodologies, and analytics workflows
• Partner cross-functionally with engineering, product, and leadership to support long term analytics strategy and platform innovation

Requirements

• Punctuality and timely responsiveness to external client and internal stakeholder needs
• Bachelor’s degree in Data Science, Computer Science, Cybersecurity, Statistics, Information Systems, or a related technical field, or equivalent experience
• 4+ years of experience with analytics platforms, business intelligence solutions, data science initiatives, or enterprise data environments
• Strong experience analyzing, modeling, and visualizing large and complex datasets
• Experience building dashboards, reports, and data models in Microsoft Power BI
• Proficiency in Python, SQL, and data analytics workflows for reporting, automation, and insight generation
• Strong analytical and problem solving skills with the ability to identify trends, patterns, anomalies, and actionable insights from data
• Experience designing scalable analytical workflows and optimizing queries for performance and maintainability
• Ability to communicate technical findings clearly to both technical and non-technical stakeholders
• Strong collaboration skills with the ability to work cross-functionally across engineering, product, operations, and business teams
• Demonstrated ability to independently research, prototype, and implement innovative analytics solutions

Technologies

Azure Data Explorer, Kusto Query Language (KQL), Microsoft Power BI, Python, SQL

Position and hours

Full-time, Monday through Friday, 8:30 am to 5:00 pm. Location: Philadelphia, PA (remote). Occasional evening and weekend work may be required.