Cybersecurity Data Engineer

Job description

**EVOCS OVERVIEW** EVOCS was founded with a clear purpose: to help businesses operate more effectively, solve complex challenges, and create opportunities for growth through practical expertise and technology solutions. As an IT consulting firm, we work with our clients to understand their needs, identify the right technologies, and deliver solutions that improve performance and support their business objectives. Today, EVOCS is a trusted technology partner to a growing number of organizations and industry leaders. Our team combines technical expertise, business understanding, and a commitment to quality to deliver effective solutions and build lasting client relationships based on responsiveness, consistency, and results. ## **EVOCS Overview** EVOCS's journey began with a mission to empower businesses with advisory expertise, empowered with ideal technologies to provide them with comprehensive solutions to grow and prosper. Founded by a team of passionate experts, EVOCS has grown into a trusted partner to a growing number of leaders across their respective industries. Our roots in employee-managed operations reflect our commitment to quality, consistency, and client success. If you enjoy working in a hyper-fast-growing company, are eager to be part of an agile team, and want to be part of our success story, then let's talk! ## **🎯 Role Overview** As a Cybersecurity Data Engineer, you will design and maintain the data pipelines and integrations that power a single pane of glass across our clients' cybersecurity and IT tools. You will be responsible for turning fragmented, tool-level data into normalized, trusted models that fuel executive reporting, operational dashboards, and better security decisions. ## **🧩 What You Will Do** In this role, you will: - Design, build, and maintain cybersecurity and applicable IT data pipelines that support centralized analytics and reporting - Integrate data from cybersecurity tools, IT platforms, vulnerability management systems, cloud platforms, identity systems, endpoint tools, and other applicable sources - Create a single pane of glass for cybersecurity and applicable IT data to improve visibility, decision-making, and operational prioritization - Normalize, enrich, correlate, and validate data across source systems to improve reporting consistency and trust in metrics - Develop clear data models that support executive reporting, operational dashboards, risk reporting, and trend analysis - Support data quality controls, lineage documentation, source mapping, ingestion monitoring, and repeatable data engineering standards - Partner with cybersecurity, IT, and analytics stakeholders to ensure dashboards and reports reflect actionable insight rather than disconnected tool-level reporting ## **🧠 What You Will Bring** The top candidate will have the following skills: - 5+ years experience in data engineering for cybersecurity or IT operational environments - Experience with Microsoft Fabric, Azure Data Lake, Azure Data Factory, Databricks, Snowflake, or comparable data platforms; Security data normalization, correlation, enrichment, and reporting; Power BI semantic models, executive dashboards, and operational analytics; Integration with SIEM, vulnerability management, EDR, IAM, cloud security, ITSM, CMDB, and infrastructure monitoring platforms; Data governance, data quality management, lineage, cataloging, and access control - A passion for building the single source of truth that security and IT teams rely on - Ability to design data models that scale across multiple cybersecurity and IT source systems - An undying concern about data quality, lineage, and trust across every reporting pipeline - A willingness to partner closely with cybersecurity, IT, and analytics stakeholders - Strong interpersonal and communication skills -- this is a client-facing role that involves frequent interaction via email, calls, and meetings *Ideally you have...* - A degree in Data Engineering, Computer Science, Information Systems, or a related field - Ability to lead source-system integration projects end-to-end ## **📦 Key Deliverables** - Cybersecurity and applicable IT data pipelines - Single pane of glass data architecture and reporting support - Source system integrations across cybersecurity and IT tools - Normalized and enriched cybersecurity data models - Data quality validation, lineage, and source mapping - Operational and executive analytics support - Documentation and data engineering runbooks #LI-DNP Pay Range for jobs in the US. Pay Range $75—$100 USD **👥 Our Values** We are privileged to serve our loyal customer base in our mission to build lasting relationships with our clients based on trust and mutual success. We strive to deliver exceptional quality and consistency through a white-glove approach. By empowering businesses with tailored solutions and insights, we help them achieve their goals and navigate the ever-evolving tech landscape. *The values we live by:* - Customer-centric Solutions - Innovation & Excellence - Integrity & Transparency - Data-driven Decision Making **📝 Need to Know** The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.