Data Engineer

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.

What You Will Do

• 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

Ideal Background

• 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

Preferred

• 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

Compensation and Benefits

• 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.