Data Engineer: Remote, Scalable Genealogy Pipelines

The Lifetime Value Company Costa Rica; Remote; MYR 60,000 - 80,000; Full time

Job summary

A leading data company is seeking a Data Engineer to develop and maintain data pipelines for genealogy products. The role involves writing production-ready code, designing APIs, and collaborating with a supportive team. Ideal candidates will have experience with Python and data processing tools, and strong communication skills. This position emphasizes working in a dynamic environment with continuous improvement and innovation in data-driven solutions.

Qualifications

• 1–2 years of experience using Python in a production environment.
• Hands‑on experience with Airflow (DAGs, operators, scheduling).
• Experience working with Docker or other OCI‑compatible container.

Responsibilities

• Build and maintain scalable, reusable pipelines to process large genealogy data sets.
• Design, build, and maintain RESTful APIs to expose data and services.
• Analyze source data and collaborate with stakeholders to clarify requirements.

Skills

Python

Airflow

Docker

RESTful APIs

Git

Data formats (CSV, JSON)

Analytical mindset

Communication skills

Tools

AWS

Kubernetes

GitHub Actions

Job description

A leading data company is seeking a Data Engineer to develop and maintain data pipelines for genealogy products. The role involves writing production-ready code, designing APIs, and collaborating with a supportive team. Ideal candidates will have experience with Python and data processing tools, and strong communication skills. This position emphasizes working in a dynamic environment with continuous improvement and innovation in data-driven solutions.