Senior Data Engineer
Role Overview
TripleLift is seeking a Senior Data Engineer for a small, influential Data Engineering team.
The role focuses on expanding and optimizing data pipeline architecture, data flow, and data collection for cross-functional teams.
The engineer will support software engineers, product managers, business intelligence analysts, and data scientists on data initiatives.
The position requires self-direction and comfort supporting data needs across multiple teams, systems, and products.
Key Skills for This Role
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About TripleLift
TripleLift is an advertising technology platform focused on digital advertising, publisher monetization, audience targeting, and programmatic products.
The company processes more than 1 trillion monthly ad transactions across online video, connected television, display, and native advertising.
Role Overview
TripleLift is seeking a Senior Data Engineer for a small, influential Data Engineering team.
The role focuses on expanding and optimizing data pipeline architecture, data flow, and data collection for cross-functional teams.
The engineer will support software engineers, product managers, business intelligence analysts, and data scientists on data initiatives.
The position requires self-direction and comfort supporting data needs across multiple teams, systems, and products.
Responsibilities
- Create and maintain optimal data pipeline architecture.
- Explore and assemble large, complex data sets that meet business requirements.
- Automate manual processes, optimize data delivery, and redesign infrastructure for scalability.
- Build extraction, transformation, and loading infrastructure using Spark, EMR, Kafka, and other big data technologies.
- Work with cross-functional stakeholders on data-related technical issues and infrastructure needs.
Education and Requirements
- A bachelor's degree in computer science or a related technical field, or equivalent professional experience, is required.
- At least 5 years of professional software engineering experience focused on production data and machine learning processes at scale is required.
- Experience optimizing large-scale Spark and Kafka pipelines is required.
- Knowledge of machine learning and AI operations, database technologies, and cross-functional data modeling is required.
- Strong SQL skills and expertise in one, or familiarity with multiple, of Python, Scala, and Java are required.
- Experience with MLflow, Feast, Ray, containerization, Kubernetes, and ArgoCD is a plus.
Work Culture
TripleLift describes its culture as positive, collaborative, compassionate, innovative, and focused on helping employees develop.
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