Data Engineer
FountAI, Inc.
- New York, New York, United States
- New York, New York, United States
About
What you’ll do
Build robust and scalable data pipelines and infrastructure to power intelligent insurance decisioning by marketers and AI agents.
Own end-to-end design and development of orchestration workflows - from ingesting raw source data to delivering features for modeling and agent interaction.
Co-design and implement ML model pipelines to forecast, predict, and recommend propensities, costs, and actions relating to insurance acquisition.
Architect data integrations between client infrastructure and Fount's Data Platform.
Contribute to technical leadership in data architecture, modeling approach, and agentic workflow discussions.
Contribute to the development of our actuarial and AI agent toolkits.
What we’re looking for
4-9 years of experience in data engineering or data science in financial services or related industries.
Experience building data pipelines for production software systems.
Batch and streaming frameworks: Apache Spark, Kafka, Airflow, dbt.
Hands‑on with file‑backed SQL engines like DuckDB or Iceberg; understands partitioning, compaction, and schema evolution.
Strong data wrangling and feature engineering skills across messy, real‑world datasets.
Familiarity with core risk and finance concepts (retention rates, CLV, loss ratios, underwriting factors).
Experience building and deploying ML models in production environments.
Obsessed with AI‑first developer tools (Claude Code, Cursor, Codex) to accelerate development while maintaining strong engineering discipline.
Nice to have
Experience with marketing and digital customer acquisition.
Exposure to LLM‑driven analytics over structured data.
Familiarity with MLOps practices and tools (MLflow, SageMaker, etc.).
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Languages
- English
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