Remote Data Integration & Governance Specialist

World Business Lenders, Llc; Buenos Aires; A distancia; ARS 125.187.000 - 229.510.000; A tiempo parcial

Ventajas ofrecidas por este puesto de trabajo

Paid time off (PTO)

Fully remote work

Compensation in USD

Descripción de la vacante

World Business Lenders, Llc is seeking a Data Engineer contractor to build and optimize data pipelines, migrate legacy systems, and ensure data quality across reporting platforms. The role demands strong SQL, Python, and cloud experience and is conducted remotely with US East Coast hours.

You will collaborate with analytics and engineering teams, implement robust data validation, and apply best practices for data governance. English proficiency is required, and the CV should be in English.

Formación

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field; hands-on experience valued.
• 4–7 years of data engineering experience.
• Experience with cloud-based data platforms and data warehouses.
• Strong SQL and Python, plus ETL/ELT development.
• Experience with data migration and automation projects.
• Familiarity with data quality, validation, and monitoring.

Responsabilidades

• Improve data pipelines and automation with quality checks to ensure accuracy and reliability.
• Migrate legacy systems to new platforms with minimal disruption.

Conocimientos

SQL

Python

Data pipelines

ETL/ELT

Data warehouses

Git/GitHub

Cloud platforms

Data quality & monitoring

Orchestration

REST APIs

Educación

Bachelor’s degree in CS/Engineering/IS

Herramientas

Apache Airflow

Azure Data Factory

Fabric pipelines

Delta/Parquet

GitHub

Descripción del empleo

World Business Lenders, Llc is seeking a Data Engineer contractor to build and optimize data pipelines, migrate legacy systems, and ensure data quality across reporting platforms. The role demands strong SQL, Python, and cloud experience and is conducted remotely with US East Coast hours.

You will collaborate with analytics and engineering teams, implement robust data validation, and apply best practices for data governance. English proficiency is required, and the CV should be in English.