Nearshore Business Solutions

Data Engineer

Vaga remota de Data Engineering com fit claro de localização do candidato.

Publicada12 de jun. de 2026

Países elegíveis61 países aceitos

Sinal de senioridadeMiddle

Modelo de trabalhoRemoto

Locais aceitos para candidatos

AlbâniaArgentinaÁustriaBahamasBarbadosBélgica+55 mais

Posso mesmo aplicar?Confira a lista de países

Países aceitos para candidatos estão listados (61).

Atualidade da fonte12 de jun. de 2026

Fit de localização61 países aceitos

Match de stackAWS, CI/CD

Caminho de aplicaçãoSite da empresa

Resumo de fit da MiraPor que vale revisar esta vaga

Fit de localização61 países aceitosAdicione seu país

Match de stackAdicione skills ao perfil para compararAWS, CI/CD

Sinal de senioridadeMiddleDefina seu nível para uma análise mais precisa.

Prontidão para aplicarSite da empresaA aplicação continua no site da empresa.

Aplicação

Aplicar no site da empresa

Aplicação externa

Aplicando paraData EngineerNearshore Business Solutions

Fit de país61 países aceitos

Caminho de aplicaçãoSite da empresa

WithMiraSalve ou assine antes de sair

Aplicação da empresa

O WithMira mantém esta vaga para descoberta. A aplicação continua no site da empresa.

Resumo da vaga

Conteúdo da vaga extraído em seções para revisão mais rápida.

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.

Vagas similares