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 focused on democratizing AI computing through its cloud services. They are seeking a Data Engineer to build and manage their data platform, focusing on ingestion, modeling, and analytics to support various business functions.
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
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