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.
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
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
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
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
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.