Skip to content
DeepgramDeepgramCalifornia

Senior Data Intelligence Engineer

Builds semantic layers with dbt/SQL, agent tooling for autonomous data querying across Athena/Salesforce, and infrastructure for AI-driven insights on usage-based SaaS metrics. Requires 5+ years in data/AI engineering, SQL/Python mastery, and RAG/agentic systems experience.

Salary not listed
Remote5+ YOEData Engineering

About the role

Key Responsibilities

  • Semantic Layer Architecture: Build and maintain high-fidelity dbt and SQL models that serve as the "ground truth" for our complex, usage-based revenue models.
  • Agent Tooling & Integration: Develop the tools and permissions frameworks that allow "Analyst Agents" to query Athena, correlate Salesforce churn signals, and identify API latency issues.
  • Infrastructure Evolution: Serve as the technical bridge to the Engineering/Infra team to ensure our data contracts are "agent-ready" and highly reliable.
  • The "Unlock Audio Intelligence" Project: Partner with the Head of Data to ingest thousands of hours of internal calls using Deepgram’s own models, turning unstructured audio into queryable insights for GTM teams.
  • Automation Obsession: Maintain a culture where manual, repetitive SQL tasks are viewed as automation bugs to be solved with code and agents.

Requirements

  • Experience: 5+ years in high-growth Data or AI Engineering roles.
  • AI-Native Technical Skills: Mastery of SQL and Python (production-grade) with a proven track record of building RAG or Agentic systems on top of structured data.
  • Usage-Based SaaS Fluency: Familiarity with the metrics of an API-first business, such as consumption patterns, gross margins, and NRR.
  • Builder Mindset: Comfort with "work-in-progress" infrastructure and the ability to turn messy, siloed data into high-impact business logic.

Bonus Points

  • Prior experience as a Software Engineer or Data Engineer.
  • Experience with real-time billing and consumption systems.
  • Contributions to open-source data or AI projects.

Skills

SQLPythondbtAthenaSalesforceRAGAI AgentsData Modeling
HappyRobot

Data Operations Lead

HappyRobotSan Francisco, CA

Lead data operations for AI audio models at HappyRobot. Translate research needs into data specs, manage end-to-end acquisition/annotation with internal and vendor teams, optimize tooling/workflows, and scale labeling operations to deliver high-quality datasets on time.

180k – 240k/yr
Hybrid5+ YOEData Engineering
Ambient.ai

Senior Software Engineer, AI Data Systems & Database Infrastructure

Ambient.aiRedwood City, CA

Senior Platform Engineer designing, building, and scaling database infrastructure for production and AI systems, including relational, analytical, and vector stores. Requires 7+ years experience with distributed systems, high-availability databases, and supporting AI workloads like vector search and RAG.

168k – 205k/yr
Hybrid7+ YOEData Engineering
Vanta

Senior Data Engineer

VantaUnited States

Senior Data Engineer responsible for designing and deploying scalable data infrastructure, orchestration models, and analytics tooling to enable data-driven decisions, ML products, and enterprise reporting at Vanta. Requires 4+ years data experience, software engineering mindset, modern data stack proficiency, and passion for secure, compliant data systems.

190k – 224k/yr
Remote4+ YOEData Engineering
Cloudflare

Senior Data Engineer

CloudflareAustin, TX

Senior Data Engineer building scalable data pipelines, services, and AI-ready data layers in Go/Scala/ClickHouse to power internal products, analytics, and agentic AI for go-to-market, engineering, and product teams. Requires 5+ years experience in production data systems, strong programming, SQL, and databases.

Salary not listed
On-site5+ YOEData Engineering
Trexquant

Senior Data Engineer

TrexquantStamford, CT +1

Senior Data Engineer responsible for building scalable ingestion pipelines, normalizing, and maintaining large-scale financial and alternative datasets from global vendors to support quantitative research and alpha generation. Requires 5+ years data engineering experience in finance/quant environments, strong Python/SQL/Linux skills, and deep knowledge of market/tick/reference data across asset classes.

150k – 200k/yr
On-site5+ YOEData Engineering