Job description
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.
Who We Hire
Success takes all kinds. Diversity describes our workforce. Inclusion defines our culture. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, marital status, age, national origin, protected veteran status, disability or other legally protected status. Individuals with disabilities are provided reasonable accommodation to participate in the job application process, perform essential job functions, and receive other benefits and privileges of employment.
Title: Senior Data Engineer
Job Type: Permanent
Job Location: Remote
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.
The Daily To-Do
- Independently implement, optimize, and maintain robust ETL/ELT pipelines using Python, Airflow, Spark, Iceberg, Snowflake, Aerospike, Docker, Kubernetes (EKS), AWS, and real-time streaming technologies like Kafka and Flink.
- Engage proactively in collaborative design and brainstorming sessions, contributing technical insights and innovative ideas for solving complex data engineering challenges.
- Support the definition and implementation of robust testing strategies, and guide the team in adopting disciplined CI/CD practices using ArgoCD to enable efficient and reliable deployments.
- Monitor and optimize data systems and infrastructure to ensure operational reliability, performance efficiency, and cost-effectiveness.
- Actively contribute to onboarding new datasets, enhancing targeting capabilities, and exploring modern privacy-compliant methodologies.
- Maintain thorough documentation of technical implementations, operational procedures, and best practices for effective knowledge sharing and onboarding.
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.
Follow Our Lead
- Big Picture: kargo.com
- The Latest: Instagram (@kargomobile) and LinkedIn (Kargo)
