Sr. Data Engineer

Role overview Build and operate data pipelines that turn clients’ source system records into reliable, governed models for reporting and AI use. This is a hands-on individual contributor role combining data engineering with client domain discovery and analysis; the work is weighted toward building, with some collaboration on engineering practices.

Responsibilities - Ingest data from databases, APIs, and files into a warehouse, and verify the raw loads against source records using row counts and parity checks. - Operate pipelines across multiple client assignments, investigating freshness, failures, incidents, and infrastructure costs. - Build isolated dbt projects with staging, intermediate, and reporting layers. - Create fact and baseline models that match clients’ source-of-truth figures, and document reconciliations for review. - Use version control, testing, peer review, and a repeatable local-to-CI workflow; coordinate with platform engineers and apply an appropriate level of rigor. - Work with client operators to understand business domains and translate their data into useful models.

Requirements - Strong data engineering skills paired with the ability to analyze and understand business data. - Experience building and operating warehouse ingestion and transformation workflows. - Ability to reconcile modeled results with source systems and explain discrepancies clearly. - Familiarity with dbt and disciplined, collaborative software development practices. - Ability to manage several concurrent client assignments and diagnose operational issues.

Benefits and work setup - Full-time, remote role for someone based in the Philippines. - Work hours align with the US Pacific schedule, 8 a.m. to 5 p.m. PST.