Pioneer of the Connected Operations Cloud
Senior Data Engineer – Marketing AI
Location
California
Posted
65 days ago
Salary
$112.5K - $170.1K / year
Seniority
Senior
Job Description
Job Requirements
- 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.
- Demonstrated ability to lead requirement gathering sessions independently, bridging the gap between business needs and technical implementation.
- Has demonstrated the ability to have exploratory conversations with stakeholders to understand further opportunities for automation across marketing.
- Familiarity with customer, marketing and/or web data.
- Experience integrating data from core Sales and Marketing platforms (e.g. Marketing Automation, CRM, and web analytics).
- Self-starter, motivated, responsible, innovative and technology-driven individual who performs well both independently and as a team member.
- A proactive problem solver and have good communication as well as project management skills to relay your findings and solutions across technical and non-technical audiences.
Benefits
- Full time employees receive a competitive total compensation package along with employee-led remote and flexible working, health benefits, and much, much more.
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