Data Engineer (AI)

Location: Remote, associated with New York

Company

Venture-backed AI startup building an enterprise reasoning platform that combines AI reasoning, data activation, and agentic workflows to help large organizations make and execute growth decisions.

What you will do

• Build and maintain scalable data infrastructure and resilient ETL/ELT pipelines processing billions of structured and unstructured data rows weekly.
• Extract and ingest data from web sources and develop tools, abstractions, and frameworks for managing data pipelines.
• Use Snowflake, Databricks, Airflow, Snowpark, Cloud Run, and Apache Beam for data processing, sharing, and access control.
• Collaborate with Forward Deployed Engineers, Data Scientists, Backend Engineers, client IT teams, and business stakeholders to deliver production-ready data workflows.
• Create monitoring systems, automate security and compliance checks, and resolve issues affecting reliability and data integrity.
• Define, deploy, and maintain infrastructure using Infrastructure as Code principles.

Requirements

• 2–5 years of experience in Data Engineering or Data Infrastructure roles.
• Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
• Experience building reliable data pipelines with automated unit and integration tests.
• Strong understanding of ETL/ELT architecture, data modeling, distributed systems, and distributed computing frameworks such as Apache Beam or Spark.
• Hands-on experience with agentic systems and AI-driven tooling for data extraction, validation, workflow automation, or software engineering.
• Strong debugging, analytical, problem-solving, and cross-functional communication skills.

Nice to have

• Experience delivering enterprise software for Fortune 500 clients in Financial Services, Industrials, or Consumer Products.
• Startup experience and familiarity with Trino, Starburst, Presto, Terraform, graph databases, or graph query languages.
• Experience with APIs, modern web scraping, custom Agent Skills, or Model Context Protocol integrations.

Culture & Benefits

• Work in a rapidly growing, venture-backed startup environment.
• Competitive compensation and equity.
• Unlimited vacation.
• 100% company-paid health, dental, and vision insurance.