Senior Analytics Engineer - Decision Intelligence

Deepgram · Remote · USA - Remote ·
Fully remoteFull-timeSenior5+ years
COMPENSATION
$200k – $240k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Senior IC role
  • Fully remote
  • SQL + Python
  • AI-native workflow
  • Early team member

Join Deepgram as one of the first engineers on a new team dedicated to building a governed decision layer. You will transform warehouse data into semantic models and tools that allow both humans and AI agents to retrieve accurate answers. This role emphasizes modeling judgment and correctness over traditional data ingestion tasks.

What you'll do

  • Model conformed entities for customers, accounts, and products across disparate systems
  • Own the semantic layer to ensure consistent metrics across dashboards and agents
  • Build tools and permissions that enable analyst agents to navigate data safely
  • Implement assertions to check data grain, uniqueness, and cross-system reconciliation
  • Evaluate agent output accuracy and track confidently-wrong rates separately
  • Answer business questions from sales and finance while leaving behind reusable models

What you'll need

  • Demonstrated daily use of AI tools to change how work is attempted and completed
  • Production-grade SQL and Python skills with experience in self-instrumentation
  • Ownership experience with semantic layers like dbt, Cube, or LookML
  • Ability to reason about data grain and keys before writing queries
  • Comfort working in unfinished infrastructure without established processes
  • Clear writing skills for defining contracts and metrics others must trust

Nice to have

  • Experience with usage-based or consumption business revenue models
  • Background in real-time billing and consumption systems
  • Familiarity with Lakehouse architectures such as Iceberg, Athena, or Trino
  • Contributions to open-source data or AI projects

Stack

  • SQL
  • Python
  • dbt
  • Cube
  • LookML
  • Iceberg
  • Athena
  • Trino

How you'll work

  • Fully remote position
  • Fast-paced environment requiring rapid adaptation
  • Expects active experimentation with advanced AI tools
  • No traditional 9-to-5 structure or prescriptive workflows