Forward Deployed Engineer

Arbol; New York (NY); On-site; USD 120,000 - 190,000; Full time

Job summary

Arbol is seeking a data-focused engineer to transform loosely defined problems into structured PRDs and reliable software. You will build and maintain internal tools like pricing and decision engines, data apps, and AI-powered workflows.

You will write SQL and Python to support analyses, dashboards, and monitoring used by leadership to guide decisions, and integrate third-party models, APIs, and data sources into our systems.

Qualifications

• Experience turning messy problems into PRDs and working software.

Responsibilities

• Embed with internal teams and partners to scope messy, loosely defined problems and turn them into structured PRDs and working software.

Skills

Python programming

SQL

PRD creation

Data storytelling

Tools

Airflow

Dagster

Prefect

Kafka

SQS

Pub/Sub

Parquet

JSON

AWS

GCP

Azure

Docker

CI/CD

Job description

What You'll Be Doing

• Embed with internal teams and partners to scope messy, loosely defined problems and turn them into structured PRDs and working software

• Build and maintain internal tools, including pricing and decision engines, data apps, and AI-powered workflows

• Write the SQL and Python behind analyses, dashboards, and monitoring that leadership uses to make decisions

• Integrate third-party models, APIs, and data sources into our systems, and handle the mapping, transformation, and validation they need

• Prototype quickly in notebooks and scripts, then harden what works into reliable, tested production systems

What You'll Need

• Experience working with the product lifestyle, from PRD creation to implementation

• Solid engineering skills in Python

• Strong understanding of data systems: SQL, schemas, indexing, partitioning, and performance tradeoffs

• Comfort with statistical concepts relevant to model evaluation, or experience interpreting metrics and distributions

What's Great to Have

• Familiarity with pipeline tooling (Airflow/Dagster/Prefect), queues (Kafka/SQS/PubSub), and common data formats (Parquet/JSON)

• Familiarity with cloud infrastructure (AWS/GCP/Azure), containers, CI/CD, and basic DevOps hygiene