Vast.ai · 1 day ago
Data Engineer — Analytics Infrastructure (Foundational Hire)
Los Angeles, CA
Full-time
Onsite
Mid, Senior Level
$140K/yr - $190K/yr
3+ years expVast.ai is a company dedicated to democratizing and decentralizing AI computing. They are seeking a Data Engineer to build and own their data platform, focusing on ingestion, modeling, governance, and self-serve analytics for various departments.
AI InfrastructureArtificial Intelligence (AI)Cloud ComputingGPUMachine Learning
Responsibilities
Own the data pipeline: design, build, and operate batch/streaming ingestion from product, billing, CRM, support, and marketing/ad platforms into a central warehouse
Model the data: create clean, well‑documented staging and business marts (dimensional/star schemas) that map to the needs of Marketing, Sales, Accounting/Finance, and Operations
Enable: publish certified datasets with row‑/column‑level security, manage refresh SLAs, and make it easy for teams to self‑serve
Collaborate cross‑functionally: intake requirements, translate them into data contracts and models, and partner with Engineering on event/telemetry capture
Document & scale: maintain clear docs, lineage, and a pragmatic data catalog so others can discover and trust the data
Qualification
Required
3+ years (typically 3–6) in a Data Engineering role building production ELT/ETL on a cloud platform (AWS strongly preferred)
Expert SQL and solid Python for data processing/automation
Proven experience designing data models (staging, marts, star schemas) and standing up a warehouse/lakehouse
Orchestration, scheduling, and operational ownership (SLAs, alerting, runbooks)
Experience enabling a BI layer (ideally QuickSight) with secure, governed datasets
Strong collaboration and communication; able to gather requirements from non‑technical stakeholders and translate to data contracts
Preferred
Marketing/Sales/RevOps data (CRM, ads, attribution), Accounting/Finance integrations, or product telemetry/event pipelines
Stream processing (Kafka/Kinesis), CDC, or near‑real‑time ingestion
Data privacy/security best practices (e.g., CPRA), partitioning/performance tuning, and cost management on AWS
Benefits
Comprehensive health, dental, vision, and life insurance
401(k) with company match
Meaningful early-stage equity
Onsite meals, snacks, and close collaboration with founders/tech leaders
Ambitious, fast-paced startup culture where initiative is rewarded
Company
Vast.ai
Global GPU rental platform for saving 5-6X on GPU compute using one simple interface.
11-50 employees
Funding
Current Stage
Early StageTotal Funding
$4MKey Investors
DRW Venture Capital
2024-07-12Seed· $4M
Leadership Team
Travis Cannell
CMO
Recent News
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