Sr. Data Engineer

Pandoblox; Stati Uniti; Remoto; USD 90.000 - 130.000; Tempo pieno

Vantaggi offerti da questo lavoro

Remote work

US Pacific hours

Descrizione del lavoro

Pandoblox is seeking a hands-on Data Engineer to build and operate data pipelines for client reporting and AI use. You will focus on ingestion, transformation, and model development with a emphasis on data quality and governance.

You’ll collaborate with client operators and platform engineers, applying dbt and CI practices while aligning with US Pacific hours. This is a remote role based in the Philippines.

Competenze

• Strong data engineering skills and ability to analyze business data.
• Experience building and operating warehouse ingestion and transformation workflows.
• Ability to reconcile modeled results with source systems and explain discrepancies.
• Familiarity with dbt and collaborative software development practices.

Mansioni

• Ingest data from databases, APIs, and files into a warehouse and verify raw loads against source records.
• Operate pipelines across multiple client assignments and monitor freshness, failures, and costs.
• Build isolated dbt projects with staging, intermediate, and reporting layers.
• Create models that align with source-of-truth figures and document reconciliations.
• Use version control, testing, peer review, and CI workflows with platform engineers.
• Collaborate with client operators to translate business domains into useful models.

Conoscenze

Data modeling

Data warehousing

SQL

ETL

Strumenti

dbt

Descrizione del lavoro

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.