Data Engineer

Location: San Francisco or New York City
Company Stage: Series C / Late-Stage (AI / Enterprise)
Office Type: Onsite (5 Days a Week)
Salary: $130,000 – $400,000 + Equity

This high-growth AI company is building the infrastructure that powers how human expertise is leveraged to train and improve frontier AI systems. With a global network of tens of thousands of experts and partnerships with leading AI labs and enterprises, the platform operates at massive scale—enabling real-world workflows that directly shape the future of AI. Backed by top-tier investors and operating profitably, the company is focused on scaling its data and infrastructure to support rapid growth and increasingly complex use cases.

• Build and maintain robust data pipelines to ingest, transform, and unify data from diverse sources (databases, SaaS tools, analytics platforms)


• Design and implement data models and transformations using dbt to create clean, reliable, production-ready datasets


• Develop scalable ETL/ELT workflows using modern data stack tools (e.g., Fivetran, dbt, SQL, Python)


• Ensure high data reliability, availability, and timeliness across the entire data lifecycle


• Partner closely with data science, engineering, product, and business teams to support data-driven decision making


• Own data quality and monitoring, implementing validation, alerting, and debugging processes


• Continuously improve pipeline performance, scalability, and observability

• 3–6+ years of experience in data engineering or backend/data-focused software engineering roles


• Strong proficiency in SQL and Python for building and maintaining data pipelines


• Hands-on experience with modern data stack tools (e.g., dbt, Fivetran, Snowflake or similar)


• Experience designing data models, schemas, and transformations for large-scale datasets


• Strong understanding of ETL/ELT patterns, data warehousing, and pipeline orchestration


• Comfortable working cross-functionally with technical and non-technical stakeholders


• High ownership mindset with the ability to operate in fast-paced, ambiguous environments

• Experience supporting machine learning workflows or analytics platforms


• Familiarity with event-driven or real-time data pipelines


• Experience with data governance, lineage, and quality frameworks


• Background in high-growth startups or data-intensive platforms

• Base salary: $130K – $400K + meaningful equity


• Performance-based bonuses


• Relocation support and housing stipend


• Monthly meal and wellness stipends


• Premium health, dental, and vision coverage


• Fitness membership and additional lifestyle perks


• High-impact role supporting critical data infrastructure for AI systems at scale

This role is ideal for engineers who enjoy owning data systems end-to-end—building the pipelines, models, and infrastructure that power decision-making, machine learning, and core product functionality at scale.