Data Infrastructure And Analytics Jobs in Raleigh, NC

Role:DataEngineerIII

Job Type:Full-time

Years of Experience:5+

Work Arrangement:On-site, in-office (this is not a remote or hybrid position)

Location:Raleigh,NC(approx. 15% travel to customer and deployment sites)

Clearance:Ability to obtain andmaintaina U.S. Government security clearance

AboutKognitivEdge:

Kognitiv Edge (KE) is a mission-driven technology company dedicated tooptimizinghuman performance across the defense and national security enterprise. We believe people are any organization's most important capability, and our mission is to deliver the data, technology, and insights that maximize readiness, resilience, and performance at scale.

We build secure, cloud-native platforms that turn fragmented information into actionable intelligence for the military leaders, healthcare providers, researchers, and operators who depend on it. By integrating data from disparate sources and applying advanced analytics, we help organizations make faster, better-informed decisions that shift them from reactive responses to proactive, data-driven action and improve mission outcomes.

Operating at the intersection of technology, data, and national security, our work supports some of the most demanding environments in the world, where the quality of a decision can carry enormous consequences.

We are a team of builders, problem-solvers, and innovators who thrive on complex challenges with real-world impact. If you are passionate about technology that serves a greater purpose, committed to continuous learning, and eager to work alongside high-performing teammates, we invite you to join us.

Position Summary:

Kognitiv Edge is seeking aData Engineer IIIto lead the design, development, and evolution of the enterprise data infrastructure that powersour humanperformance platforms. The ideal candidate is an experienced engineer capable of architecting scalable data solutions, leading complex integration efforts, andestablishingthe data foundations required for advanced analytics, artificial intelligence, and enterprise decision-making.

In this role, you will work across multiple programs and stakeholders to develop data architectures, implement governance frameworks,optimizedata pipelines, and enable trusted, reusable data assets. You will serve as a technical leader within the engineering organization while partnering closely with software engineers, product leaders, and mission stakeholders.

This position is ideal for an engineer who enjoys solving complex technical challenges, mentoring others, and building systems thatoperateat enterprise scale.

Key Responsibilities:

• Design, develop, andmaintainscalable enterprise data architectures, pipelines, and integration frameworks.

• Lead the ingestion, transformation, validation, and operationalization of data from mission systems, wearable technologies, research environments, enterprise applications, and external partners.

• Architect andoptimizedata models, schemas, storage solutions, and data lifecycle management strategies.

• Establish and enforce data governance standards, including metadata management, lineage tracking, auditability, and data quality controls.

• Design and implement monitoring, observability, and operational support capabilities to ensure platform reliability and performance.

• Partner with software engineers, product leaders, and stakeholders to translate operational requirements into scalable technical solutions.

• Enable advanced analytics, machine learning, and artificial intelligence initiatives through trusted and reusable data foundations.

• Evaluate and implement modern data engineering technologies, frameworks, and best practices.

• Lead technical discussions, architecture reviews, and strategic planning efforts across programs.

• Mentor junior engineers and contribute to the growth and maturity of the engineering organization.

• Ensure solutions meet security, compliance, privacy, and governance requirements within regulated government environments.

• Continuously improve platform scalability, performance, maintainability, and operational efficiency.

• Support Kognitiv Edge's mission of transforming complex human performance data into actionableinsightfor military and government organizations.

Qualifications:

• Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field, or equivalent professional experience.

• 5+ years of experience in data engineering, software engineering, analytics engineering, or a related technical role.

• Expertproficiencyin Python and SQL.

• Demonstrated experience designing andmaintainingproduction-scale data pipelines and data platforms.

• Strong understanding of data architecture, data modeling, ETL/ELT design patterns, and data warehousing concepts.

• Experience working within cloud environments such as Azure, AWS, or Google Cloud.

• Experience designing secure, scalable, andhighly availabledata systems.

• Strong analytical, troubleshooting, and problem-solving skills.

• Excellent communication skills with the ability to collaborate across technical and non-technical teams.

• Ability to obtain andmaintaina U.S. Government security clearance.

Preferred Skills:

• Experience with Azure Synapse Analytics, Azure Data Factory, Databricks, Event Grid, or similar cloud-native data platforms.

• Experience designing data governance, master data management, and enterprise data management solutions.

• Experience supporting machine learning, predictive analytics, or AI-enabled systems.

• Familiarity with Kubernetes, Docker, Infrastructure as Code, and modern DevOps practices.

• Experience with event-drivenarchitecturesand real-time data processing.

• Experience supporting government, defense, healthcare, research, or other highly regulated environments.

• Experience developing data visualizations, dashboards, and reporting solutions using Power BI, Grafana, or similar business intelligence platforms.

• Experience working with physiological, sensor, wearable, or operational performance data.

• Previoustechnical leadership or mentoring experience.

Benefits:

Benefits of JoiningKognitivEdge

Competitive Compensation Package:AtKognitivEdge, we understand the value of our team members and offer competitive salaries and benefits to reflect their importance in our success.

Health and Wellness Programs:We prioritize the health and well-being of our employees with comprehensive health insurance plans, including medical,dental, andvision coverage, and wellness initiatives.

Professional Growth Opportunities:KognitivEdge is committed to the continuous professional development of our team. Enjoy access to a range of training programs, workshops, and conferences to enhance your skills and career growth.

Innovative Work Environment:Join a team where innovation thrives. Work oncutting-edgeprojects that challenge and expand your technical and creative boundaries.

Paid Time Off:Enjoy generous vacation days, public holidays, and sick leave, ensuring you have ample time to relax and recharge.

Team Building Activities:Be a part of a company culture that values collaboration and camaraderie through regular team outings, events, and activities.

JoinKognitivEdge and be a part of a dynamic team, contributing to groundbreaking solutions in human performance and operational excellence.