Job Description
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.
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.
Physical Demands
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. While performing the duties of this job, the employee is regularly required to talk and hear; use hands to finger, handle, or feel; and reach with hands and arms. The employee frequently is required to stand and walk. This is a largely sedentary role.
Candidates with disabilities are encouraged to apply and email [email protected] with any questions. Reasonable accommodations may be made to enable disabled individuals to perform the essential functions of this role.
Position Type/Expected Hours of Work
This is a full-time position, and hours of work and days are Monday through Friday 8:30am to 5pm. Occasional evening and weekend work may be required as job duties demand.
Travel
Not applicable.
Required Education, Experience, and Skills
Punctuality and timely attendance 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 working 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 within 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 and recommendations 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
Preferred Education, Experience, and Skills
Residence in Eastern time zone preferred.
Experience working with cybersecurity analytics platforms, vulnerability management data, security telemetry, or operational security datasets
Experience building analytics solutions within Azure Data Explorer environments, including schema design, materialized views, analytical modeling, and query optimization
Strong understanding of Kusto Query Language (KQL) best practices for scalable and efficient analytical workloads
Ability to translate complex cybersecurity data into intuitive visualizations, meaningful metrics, and actionable data stories
Experience with statistical analysis, predictive modeling, machine learning, or anomaly detection techniques
Familiarity with data normalization strategies across multiple tools and heterogeneous data sources
Understanding of modern cloud analytics ecosystems including Azure-based data pipelines, enrichment workflows, and scalable reporting architectures
Experience partnering with engineering and product teams to shape analytics-driven product capabilities and reporting strategies
Experience mentoring analysts, engineers, or technical teams on analytics best practices, visualization strategies, and data modeling approaches
Other Duties
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.
EEO Statement
Security Risk Advisors is an Equal Opportunity Employer and prohibits discrimination or harassment of any kind. All employment decisions at SRA are based on business needs, job requirements, and individual qualifications, without regard to race, color, sex, sexual orientation, gender identity or expression, age, religion, national origin, disability, marital or family status, veteran status, medical condition, or any similar category protected under federal, state, or local laws.
Work with Experts: Robust internal training program, plus Company-paid external training. SRA recognizes the value of professional development for employees. Therefore, we encourage our employees to pursue continuing education and role-specific training. Every SRA employee is eligible to attend one training per year paid for by SRA.
Mental Health Services: SRA has partnered with BetterHelp to provide SRA employees with free mental health support. BetterHelp connects individuals with licensed therapists for chat, video, and phone sessions.
Medical / Dental / Other (regular full-time employees only)
Generous medical, dental, and vision benefits at different price points.
Company-paid disability and life insurance.
Company 401(k) plan including annual 3% safe harbor contribution.
Free patient advocacy service that helps find care providers and resolve insurance queries.
Free financial advising.
Generous parental leave, sick leave, and vacation policies.
Possibility to work remotely or with a flexible schedule when needed and approved.
Company-paid cell phone with discounted accessories.
1-2-3 Give Program: 1. SRA will give $1,000 to a charity of your choice. 2. If you give an additional amount (up to $1,000), then 3. SRA will match that amount up to $1,000.
Other discounted, employee-paid benefits including pet insurance, legal support, and voluntary life insurance.
(Subject to change)
