Nearshore Business Solutions

Data Engineer

Rol remoto de Data Engineering con fit claro de ubicación del candidato.

Publicado12 jun 2026

Países elegibles61 países aceptados

Señal de seniorityMiddle

Modelo de trabajoRemoto

Ubicaciones aceptadas para candidatos

AlbaniaArgentinaAustriaBahamasBarbadosBélgica+55 más

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Las ubicaciones aceptadas para candidatos están listadas (61).

Actualidad de la fuente12 jun 2026

Fit de ubicación61 países aceptados

Match de stackAWS, CI/CD

Camino de aplicaciónSitio de la empresa

Resumen de fit de MiraPor qué vale revisar este rol

Fit de ubicación61 países aceptadosAgrega tu país

Match de stackAgrega skills al perfil para compararAWS, CI/CD

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Aplicación

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Aplicación externa

Aplicando aData EngineerNearshore Business Solutions

Fit de país61 países aceptados

Camino de aplicaciónSitio de la empresa

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Resumen del rol

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Build, maintain, and troubleshoot data integrations and ETL/ELT processes using Python and SQL.
Develop and optimize complex queries across PostgreSQL and Snowflake environments.
Support day-to-day data operations, customer onboarding activities, and platform maintenance.
Monitor pipeline performance, investigate issues, and implement solutions to ensure reliability and accuracy.
Assist with the integration of acquired forecasting technology into an existing planning platform.
Work with AWS services including S3, RDS, and EC2 to support cloud-based data infrastructure.
Collaborate closely with senior engineers to improve data quality, optimize workflows, and document processes.

3+ years of experience in Data Engineering or a related technical field.
Strong PostgreSQL experience and advanced SQL skills, including joins, window functions, query optimization, and stored procedures.
Solid Python programming skills with experience using libraries such as pandas and numpy.
Hands-on experience with AWS services, including S3, RDS, and EC2.
Experience working with Snowflake, including data warehousing and query optimization.
Understanding of ETL/ELT concepts, data pipelines, and data integration best practices.
Experience using Git and collaborative software development workflows.
Strong analytical and troubleshooting skills with a focus on data quality and reliability.
Availability to work UK business hours (8:00 AM–5:00 PM UK time).
Strong English communication skills with a proactive, highly collaborative work style.

Experience with orchestration tools such as Airflow, Prefect, or similar platforms.
Knowledge of data modeling and dimensional modeling methodologies.
Experience with additional AWS services such as Redshift, Glue, or Lambda.
Exposure to CI/CD pipelines and DevOps practices.
Interest in cloud-agnostic architecture and scalable platform design.
Experience supporting enterprise software integrations or platform migrations.

Competitive compensation aligned with LATAM market benchmarks.
Fully remote work environment with flexible collaboration.
Exposure to modern cloud data platforms and enterprise-scale integrations.
Direct mentorship from experienced senior data engineers.
Opportunity to contribute to high-impact projects with global organizations.
Potential to expand into future Insight Kitchen engagements as the company grows.

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