
Data Engineer - Cloud & SaaS Integrations
Join DoiT's R&D team as a remote Data Engineer to expand vendor coverage by building and maintaining integrations against third-party billing and usage APIs, own ingestion pipelines (orchestration, scheduling, backfills), normalize and reconcile vendor data, and use AI-augmented tooling across the engineering workflow. Requires 3+ years in data engineering or data-heavy backend work, strong SQL and Python skills, and experience with cloud analytical stores and pipeline orchestration (Dagster/Airflow or equivalents).




