Senior Analytics Engineer

The Analytics Engineer role focuses on building and maintaining data models and pipelines that power business analytics and reporting. The role involves transforming raw data into actionable insights, ensuring data quality, and collaborating with data scientists and business stakeholders to support decision-making.

This role focuses on designing, building, and maintaining scalable data pipelines and infrastructure. The Senior Data Engineer will work with large datasets, optimize data processing workflows, and ensure data availability for analytics and product teams. Strong programming skills and experience with cloud data platforms are required.

Build and maintain scalable data pipelines and ETL processes to ensure data quality and availability for analytics and machine learning applications. The role requires strong expertise in data engineering technologies and collaboration with data science teams.

This senior analytics engineering role involves building and maintaining data pipelines and analytics infrastructure to support business and product decisions. The engineer will work with large datasets and ensure data quality and accessibility.

Manages revenue and marketing technology systems, optimizing system integrations and driving operational efficiency. Requires experience with marketing automation platforms like HubSpot or Marketo, CRM systems such as Salesforce, and data integration tools like Segment.

Develops and deploys machine learning models to optimize Kargo's advertising platform, focusing on algorithmic optimization and data-driven solutions. Requires strong programming skills in Python and experience with ML frameworks like TensorFlow or PyTorch, as well as cloud platforms such as AWS.

This role focuses on leading engineering efforts for the Karlo self-service platform. The Staff Engineer will be responsible for architectural decisions and driving platform innovation.