Senior Data Engineer - Remoto

Apenas para membros registrados Remoto, Brasil

há 19 horas

R$180.000 - R$320.000 (BRL) por ano *

* Esta faixa salarial é uma estimativa feita pela beBee

Estamos em busca de um(a) Senior Data Engineer experiente para fazer parte do nosso time de tecnologia e atuar em projetos globais, com grandes clientes ao redor do mundo . · Aqui você vai encontrar um ambiente colaborativo, com aprendizado contínuo, trabalhando com tecnologias m ...

Descrição do trabalho

Estamos em busca de um(a) Senior Data Engineer experiente para fazer parte do nosso time de tecnologia e atuar em projetos globais, com grandes clientes ao redor do mundo .

Aqui você vai encontrar um ambiente colaborativo, com aprendizado contínuo, trabalhando com tecnologias modernas e desafios reais de escala.

Nosso escritório é em Chicago (EUA), mas nosso modelo de trabalho é 100% remoto — gostamos de chamar de Anywhere Office.

Position: Senior Data Engineer

Location: Remote (Office in Chicago, USA)

Seniority: Senior-level

Contract Model: Independent Contractor (Brazil – PJ)

WHAT WE ARE LOOKING FOR

We are seeking a Senior Data Engineer with strong experience in cloud environments to support the build, evolution, and modernization of strategic data platforms.

This role requires strong technical autonomy, decision-making maturity, and the ability to operate effectively within structured corporate environments with high governance standards.

This is a hands-on position, requiring active involvement in data pipeline development and participation in key technical decisions.
Advanced English is required (daily interaction with global teams).
Previous experience in regulated environments is highly valued.

KEY RESPONSIBILITIES

Design, implement, and enhance data ingestion, transformation, and integration pipelines in cloud environments.
Lead ETL-to-ELT refactoring initiatives, ensuring preservation of business rules and reporting accuracy.
Perform data validation, reconciliation, and performance optimization.
Contribute to the definition and evolution of engineering standards and best practices.
Support orchestration, monitoring, and observability strategies.
Develop API-based integrations and collaborate on application-level adjustments when needed.
Apply version control, automation, and DataOps practices.

REQUIRED QUALIFICATIONS

Strong experience with modern cloud data platforms (e.g., Snowflake, Databricks, or equivalent).
Proven experience in cloud environments, preferably AWS, leveraging data and integration services.
Advanced proficiency in SQL and Python.
Experience building and maintaining data pipelines using SQL and Python, including automation, API integrations, and structured/semi-structured data processing.
Experience with orchestration and data integration frameworks.
Background in data migration or modernization initiatives.
Experience working in environments with governance and compliance requirements.

NICE TO HAVE

Strong experience with SQL Server (relational modeling, stored procedures, views, and legacy ETL patterns).
Experience in financial services or highly regulated industries.
Snowflake certification (SnowPro Core or advanced).
AWS or Data Engineering certifications.

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