About The Company
Kargo is a leading innovator in the advertising technology industry, dedicated to creating powerful moments of connection between brands and consumers. With a focus on leveraging agentic AI, connected TV (CTV), eCommerce, social media, and mobile platforms, Kargo strives to deliver unique and impactful ad experiences across the world’s most premium platforms. The company adopts a Creative Science approach, continuously innovating solutions that outperform industry benchmarks and exceed client expectations. With rapid growth and a global presence, Kargo operates offices in New York City, Chicago, Los Angeles, Dallas, Sydney, Auckland, London, and Waterford, Ireland. The organization values diverse talent—tech enthusiasts, creatives, communicators, data professionals, product innovators, and collaborative team players—who are eager to shape the future of advertising technology.
About The Role
We are seeking a highly skilled Data Engineer to join our dynamic team and lead the development of our identity graph infrastructure. This pivotal role involves owning and expanding our multi-source identity graph, which is essential for cross-surface reach, user-level measurement, and lower-funnel attribution. The successful candidate will be responsible for designing, building, and scaling ingestion pipelines, standardizing partner onboarding processes across web, CTV, and mobile platforms, and preparing the identity audience data layer for self-serve access. Additionally, the role entails setting technical standards for the engineering team, ensuring high observability and alert responsiveness, and mentoring data engineers to maintain best practices. This position offers an exciting opportunity to influence the technical direction of Kargo’s identity solutions, contribute to innovative ad tech products, and work in a fast-paced environment committed to continuous improvement and industry leadership.
Qualifications
- Experience designing and managing large-scale, complex data systems, including building systems from scratch.
- Proven leadership experience in guiding engineering teams, setting technical directions, and reviewing work.
- Expertise in Python, Airflow, Spark, and SQL, with a focus on creating efficient, testable, and cost-optimized transformations.
- Proficiency working within AWS cloud infrastructure and Kubernetes environments.
- Hands-on experience with third-party APIs and data ingestion pipelines.
- Familiarity with AI tooling and understanding of codebase design for AI compatibility.
- Knowledge of identity resolution, device and household graphs, and privacy regulations such as GDPR and CCPA.
- Experience working with data cleanrooms for partner onboarding and client data management.
- Understanding of CI/CD pipelines, monitoring tools like VictoriaMetrics, Prometheus, and Grafana.
Responsibilities
- Build and maintain a scalable, multi-source identity graph, including identifier synchronization, translation, clustering, and opt-out handling.
- Standardize onboarding processes for partners and clients across web, CTV, and mobile identifiers, ensuring efficient and cost-effective integration.
- Prepare and optimize the identity audience data layer for self-serve creation, activation, and reporting by clients.
- Enhance domain observability by inventorying signals, monitoring, and alerts; standardize and centralize these to ensure high data quality and freshness.
- Lead and mentor data engineering team members, establishing standards for testability, cost efficiency, and reusable patterns.
- Collaborate with product and data partnership teams to translate ambiguity into clear, actionable roadmaps.
- Diagnose infrastructure issues by analyzing logs and performance metrics, ensuring system reliability and performance.
- Implement best practices for data ingestion, transformation, and storage, aligning with industry standards and privacy regulations.
Benefits
- Competitive salary and performance-based bonuses.
- Comprehensive health, dental, and vision insurance plans.
- Flexible work arrangements and remote work opportunities.
- Generous paid time off and holidays.
- Professional development programs and continuous learning opportunities.
- Collaborative and innovative work environment with access to cutting-edge technologies.
- Global exposure and opportunities for career advancement within a rapidly growing organization.
Equal Opportunity
Kargo is an equal opportunity employer committed to fostering an inclusive environment. We celebrate diversity and are dedicated to creating a workspace where all employees are valued, respected, and empowered to succeed. We do not discriminate based on race, ethnicity, gender, sexual orientation, age, disability, or any other protected characteristic. All qualified applicants will receive consideration for employment without regard to any protected status.