Senior Python Data Engineer - Remote, Flexible Schedule

BairesDev; Stati Uniti; Remoto; USD 120.000 - 180.000; Tempo pieno

Vantaggi offerti da questo lavoro

Remote work

USD compensation

Home office setup

Flexible hours

Parental leaves

Global team

Mentorship & growth

Descrizione del lavoro

BairesDev is a fully remote technology services company delivering projects for global giants. We are seeking a Senior Data Engineer to build and maintain scalable, production-grade data pipelines using Python and AWS.

You will translate raw data from sources into analytics-ready information, collaborating with stakeholders to design robust data architectures and ensure data reliability across cloud infrastructure.

Competenze

• 4+ years of experience in Data Engineering or Software Engineering.
• Proven expertise in building scalable data pipelines using Python.
• Advanced proficiency in SQL for data transformation and analysis.
• Hands-on experience with modern data tools such as DBT and cloud platforms like AWS.
• Strong understanding of CI/CD practices and version control using Git.
• Advanced proficiency in English.

Mansioni

• Design and implement robust ELT/ETL pipelines to automate data ingestion and transformation.
• Develop complex data models and transformation layers using SQL and dbt to support advanced analytics.
• Optimize pipeline performance and scalability to handle large-scale datasets within AWS environments.
• Integrate modern data tools and CI/CD practices to streamline development and deployment workflows.
• Ensure data integrity and reliability through automated testing, validation, and proactive monitoring.
• Collaborate with stakeholders to translate business requirements into efficient technical data architectures.

Conoscenze

Python

SQL

CI/CD

Git

English

DBT

Strumenti

AWS

Descrizione del lavoro

BairesDev is a fully remote technology services company delivering projects for global giants. We are seeking a Senior Data Engineer to build and maintain scalable, production-grade data pipelines using Python and AWS.

You will translate raw data from sources into analytics-ready information, collaborating with stakeholders to design robust data architectures and ensure data reliability across cloud infrastructure.