Senior Marketing AI Data Engineer

5+ years of working experience in a data engineering or data engineering adjacent role.

Expert Python and SQL knowledge with strong hands-on data modeling experience.

Proven experience engineering data pipelines for AI/ML workloads (e.g., preparing unstructured data for LLMs, working with vector stores, or building feature engineering pipelines).

Proven experience building and scaling RAG (Retrieval-Augmented Generation) infrastructure, including managing vector database integrations and data-to-embedding pipelines for LLM applications.

Deep experience with data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools.

Hands-on experience working with modern data technologies stack, such as Databricks, DBT, Google BigQuery, Redshift, RDS, Snowflake or similar solutions.

Data and Analytics is a critical team within Marketing.

Our mission is to enable revenue performance by providing marketing and sales teams with the insights, tools, infrastructure and consultation to make data-driven decisions.

We are a scrappy and growing team that loves all things data!

The team will be composed of data engineers, analytics managers and data scientists.

We are passionate about leveraging world-class data and analytics to deliver a great customer experience.Our team promotes an agile, collaborative, supportive environment where diverse thinking, innovative design, and experimentation are welcomed and encouraged.