Remote Data Engineer (San Nicolás de Los Arroyos)
Evolvesquads
- San Nicolás de los Arroyos, Provincia de Buenos Aires
- Permanente
- Tiempo completo
create world-changing products using God-given talents.
PROJECT DESCRIPTION
Our client began as a family-run women’s apparel business in the late 1930s. Over the decades, the company has evolved into a nationally recognized fashion retailer focused on helping customers feel confident and well dressed for special moments, nights out, and everyday occasions. What started as a small operation has grown into a large retail organization with hundreds of locations, a growing team, and an ongoing expansion strategy.
They are currently looking for a proactive Data Engineer to join the team. If you’re a passionate individual and think you have what it takes to help carry this legacy forward, we encourage you to apply and join the team.
PROJECT STACK and TEAM
We are seeking a highly skilled Senior Data Engineer who can own the end-to-end design, development, and operation of robust data pipelines with minimal supervision. This role is an individual contributor who will be the organization’s sole data engineer, responsible for delivering practical, production-ready solutions without direct people management or formal mentoring responsibilities. The adecuado candidate will have extensive hands-on experience with BigQuery, Python-based data pipelines, and cloud-native orchestration. Knowledge of Airbyte and dbt is a plus, and cloud-based machine learning experience is an asset.Our client is a GCP shop, and they also leverage AWS and Azure to support their operations.
Strong experience working on e-commerce platforms.
Hands-on experience with Shopify.
Contract: Long-Term
Location: LATAM
Start Date: ASAP
The core team is based in the Los Angeles area, with additional developers located across LATAM in Brazil, Argentina, and Colombia. Working hours will follow the Pacific Time Zone.MAIN REQUIREMENTS5+ years of hands-on data engineering experience, with a proven track record of owning data pipelines in production.
Strong expertise in Google Cloud Platform (GCP), in
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