AI-Driven Data Engineer for Marketing Analytics

Logoslabs; San Francisco (CA); On-site; USD 120,000 - 190,000; Full time

Job summary

Power Digital is seeking a Data Engineer to own end-to-end data pipelines and dbt projects in a multi-tenant warehouse. You will design ingestion, modeling, and data marts supporting agency and client teams, while leveraging AI-agentic workflows to accelerate development.

You will collaborate across nova product/engineering, AI/innovation, and client teams to deliver reliable data foundations and AI-ready data models for BI and AI applications.

Qualifications

• 3+ years in data or analytics engineering, including 1+ years owning a dbt project in production.
• Advanced proficiency in Python and SQL, with a focus on production-grade code for data pipelines and modeling.
• Deep expertise in dbt: incremental strategies, tests, macros, and managing large DAGs.

Responsibilities

• Design, build, and maintain the core data foundation (ingestion, modeling, and data marts).
• Build ingestion that handles API changes, rate limits, and retroactive restatement of data without corrupting downstream models.
• Model across sources to reconcile spend, impressions, conversions, and revenue across multiple platforms.
• Contribute to client-bespoke modeling on top of the core layer with patterns that extend shared foundations.
• Build semantic layers and metric definitions for AI-generated SQL to return consistent results.
• Use AI-agentic workflows to accelerate development and document patterns for reuse.
• Collaborate with product and engineering teams to translate requirements into data solutions.
• Monitor and resolve data quality issues and optimize pipelines for multi-client workloads.

Skills

Python

SQL

dbt

Snowflake

Multi-tenant data modeling

GCP

AI-agentic development workflows

Git + CI/CD

Data pipelines

Tools

Snowflake

GCP

Git

CI/CD

Cursor

Claude Code

GitHub Copilot

Job description

Power Digital is seeking a Data Engineer to own end-to-end data pipelines and dbt projects in a multi-tenant warehouse. You will design ingestion, modeling, and data marts supporting agency and client teams, while leveraging AI-agentic workflows to accelerate development.

You will collaborate across nova product/engineering, AI/innovation, and client teams to deliver reliable data foundations and AI-ready data models for BI and AI applications.