Senior Analytics Engineer – Decision Intelligence

Deepgram

. Model the gold layer with conformed entities for customer, account, project, product, and contract .

Posted 10/8/2026full-timeRemote • United StatesSenior💰 $185,000 - $240,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in modeling semantic layers and metrics for data analysis, utilizing SQL and Python to support decision-making across sales, product, and finance. Proficient in navigating complex data environments and ensuring data integrity through effective modeling and validation techniques.

Highest-signal resume keywords

Production-Grade SQLPython ExperienceSemantic Layer OwnershipAI Tools ProficiencyLakehouse Architecture Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonData ModelingMetrics DefinitionData ValidationCross-System ReconciliationBusiness DefinitionAssertions for GrainUsage-Based Business ModelsReal-Time Billing Systems

Soft Skills

Clear WritingModeling Judgment

Tools & Technologies

DbtCubeLookMLIcebergAthenaTrino

Industry Keywords

AI-Native Working PracticeConsumption Business ModelsOpen-Source Contributions

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Model the gold layer with conformed entities for customer, account, project, product, and contract
Resolve identity across Salesforce, the console, Stripe, and the billing system
Own and version the semantic layer defining metrics consistently for dashboards, notebooks, and agents
Build tools, permissions, and MCP surfaces for analyst agents to navigate data safely
Add assertions for grain, uniqueness, and cross-system reconciliation, routing issues to named owners
Evaluate agent output against known-correct answers and track accuracy, refusal, and confidently-wrong rates
Answer real questions from sales, product, and finance while leaving behind reusable models

Requirements

What you’ll need

Daily, intricate use of AI tools and an AI-native working practice
Production-grade SQL and Python experience
Experience owning a semantic or metrics layer, such as dbt, Cube, LookML, or equivalent
Strong modelling judgment regarding grain, keys, data defects, and business definitions
Comfort working in work-in-progress infrastructure without an inherited process
Clear writing
Experience with usage-based or consumption business models (bonus)
Experience with real-time billing and consumption systems (bonus)
Experience with lakehouse architectures, including Iceberg, Athena, Trino, or similar (bonus)
Contributions to open-source data or AI projects (bonus)

Benefits

Comp & perks

Equity
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