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Senior Marketing AI Data Engineer

1 month, 3 weeks ago
United States
Full-time
Senior
Data Engineer
Data Science and Analytics
CRM Databricks dbt Domo Feature Engineering Generative AI Google Analytics Kubeflow Looker Mixpanel MLflow MLOps Python Salesforce Segment Snowflake SQL Tableau
Apply Now
Samsara

Samsara

Samsara pioneers the Connected Operations Cloud, offering AI safety programs, real-time visibility, and integrations for industries to enhance efficiency, safety, and sustainability globally.

IT Services
1K-5K
Founded 2015
View All Jobs 106

Description

  • Architect and maintain complex marketing databases, datasets, data pipelines, and the Customer Data Platform (CDP) to enable segmentation, targeting, automation, and analytics.
  • Design and implement data infrastructure for AI/ML initiatives, including pipelines for generative AI applications, feature stores, and vector database integrations to support predictive modeling and personalization.
  • Support the execution and expansion of conversational BI and Ambient AI capabilities within the marketing organization in partnership with the BI team.
  • Automate manual marketing tasks using AI to increase efficiency across the marketing organization.
  • Manage critical, high-volume data pipelines, maintain SLAs, and continuously improve pipeline efficiency and data quality.
  • Facilitate complex data integration and transformation requirements to ensure interoperability between applications, data marts, AI models, and CDP environments.
  • Partner autonomously with non-technical stakeholders (Marketing, Sales, Ops) to translate ambiguous business questions into technical requirements and scalable data solutions.
  • Write optimized data transformations in Python and SQL to produce data products consumed by customer systems, Analytics, Marketing Operations, and Sales Operations teams.
  • Mentor junior engineers, conduct code reviews, and help define best practices for the data engineering team.

Requirements

  • 5+ years of experience in a data engineering or data-engineering-adjacent role.
  • Expert knowledge of Python and SQL with strong hands-on data modeling experience.
  • Proven experience engineering data pipelines for AI/ML workloads, including preparing unstructured data for LLMs and 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 architectures, infrastructure components, ETL/ELT processes, and reporting/analytics tools.
  • Hands-on experience with modern data technologies such as Databricks, dbt, Google BigQuery, Amazon Redshift, RDS, Snowflake, or similar solutions.
  • Demonstrated ability to lead requirement-gathering sessions independently and translate business needs into technical implementations.
  • Experience with customer, marketing, and/or web data and integrating data from Marketing Automation, CRM, and web analytics platforms.
  • Strong communication and project management skills, a proactive/self-starting mindset, and ability to work independently and as part of a team.
  • Role is open to candidates residing in the US except the San Francisco Bay Metro Area, NYC Metro Area, and Washington, D.C. Metro Area.

Benefits

  • Annual base salary range: $118,107.50 - $178,650 USD (base pay may vary by location, experience, and skills).
  • Competitive total compensation package.
  • Employee-led remote and flexible working model with support for in-office, hybrid, or remote arrangements where applicable.
  • Health benefits for full-time employees.
  • Inclusive work environment with reasonable accommodations for candidates with disabilities (contact [email protected]).
  • Opportunities for rapid career development and internal mobility in a high-growth company.
  • Access to Samsara benefits information and programs via the company benefits site.

Interested in this position?

Apply directly on the company website

Apply Now

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