Data Engineer

SRA’s mission is to level up every day to protect our clients and their customers. This begins with our team members and their experience. SRA prides itself on maintaining a culture where team members have a shared sense of support and belonging, consistent with our It’s Personal company value. At SRA, we prioritize transparent career pathing, varied DEI programming and community groups, competitive benefits including mental health support, and an emphasis on a sustainable, healthy, and engaging work culture. SRA has twice been named a Best Place to Work by the Philadelphia Business Journal. 

These Essential Functions, Requirements, and Skills are guidelines. If you are a candidate who does not meet this exact job description but can demonstrate excellent organization, attention to detail, professionalism, flexibility, and self-direction in your professional background, we hope you apply. SRA values a diverse workplace and strongly encourages people of all backgrounds to apply.  

Summary/Objective  

We are seeking a highly motivated and technically capable Data Engineer to help drive the future of our cybersecurity analytics platform, Sight. This role sits at the intersection of cybersecurity, big data analytics, visualization, and platform innovation. The ideal candidate will work closely with engineering teams, SMEs, and platform leadership to transform complex datasets into scalable analytics models, actionable insights, and meaningful visual narratives, while also helping mentor and guide junior team members across analytics initiatives. 

This individual will play a key role in shaping how data is modeled, analyzed, and presented across the platform. Responsibilities include building efficient and scalable analytics solutions within Azure Data Explorer, developing advanced reporting and visualization strategies within Microsoft Power BI, and helping pioneer new analytics capabilities that enhance the Sight ecosystem. 

The ideal candidate is both analytical and creative, capable of understanding large-scale datasets while translating technical findings into intuitive metrics, dashboards, and stories that drive operational and executive decision-making. This role requires someone who can think strategically about data, identify opportunities for innovation, help guide analytics best practices, and contribute to the growth and development of junior team members within the organization.

Requirements

Essential Functions  

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.  

• 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, SMEs, 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, reports, and visualizations within Microsoft Power BI that effectively communicate trends, operational health, risk, and business value to both technical and non-technical audiences  

• Translate raw data and operational telemetry into actionable insights, meaningful metrics, and compelling data stories that support strategic and operational decision-making  

• 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, reconciliation, and analytical 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, visualization concepts, 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 teams to support long-term analytics strategy and platform innovation 

Supervisory Responsibility  

Not Applicable.  

Work Environment  

This job operates in a professional office environment or remotely as needed/required. This role routinely uses standard office equipment.