Kargo creates breakthrough cross-screen ad experiences for the world’s leading brands and publishers. Every day, our 600+ employees bring the power of their creativity and diversity to radically raise the bar on what mobile, CTV, AI, social, and eCommerce can do to wow consumers and build businesses. Now 20 years strong, Kargo has offices in NYC, Chicago, Austin, LA, Dallas, Sydney, Auckland, London and Waterford, Ireland. Humble brag: In 2024, Kargo was recognized as a Best Place to Work by Ad Age and Built In.

THE OPPORTUNITY

At Kargo, we are rapidly evolving our data infrastructure and capabilities to address challenges of data scale, new methodologies for onboarding and targeting, and rigorous privacy standards. We’re looking for an experienced Senior Data Engineer to join our team, focusing on hands-on implementation, creative problem-solving, and exploring new technical approaches. You’ll work collaboratively with our technical leads and peers, actively enhancing and scaling the data processes that drive powerful targeting systems.

QUALIFICATIONS:

• Strong expertise in implementing, maintaining, and optimizing large-scale data systems with minimal oversight.
• Deep proficiency in Python, Spark, and Iceberg, with a clear understanding of data structuring for efficiency and performance.
• Experience with Airflow for building robust data workflows is strongly preferred.
• Extensive DevOps experience, particularly with AWS (including EKS), Docker, Kubernetes, CI/CD automation using ArgoCD, and monitoring via Prometheus.
• Familiarity with Snowflake, including writing and optimizing SQL queries and understanding Snowflake’s performance and cost dynamics.
• Comfort with Agile methodologies, including regular use of Jira and Confluence for task management and documentation.
• Proven ability to independently drive implementation and problem-solving, turning ambiguity into clearly defined actions.
• Excellent communication skills to effectively engage in discussions with technical teams and stakeholders.
• Familiarity with identity, privacy, and targeting methodologies in AdTech is required.

Please refer the Job description for details