Lead Data Engineer (Python) - Remote Work

BairesDev; Antioquia; Teletrabalho; COP 286 670 000 - 477 783 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Remote work

Competitive USD salary

Home office setup

Flexible hours

Paid time off

Resumo da oferta

BairesDev is seeking a Lead Data Engineer (Python) to spearhead the design and optimization of robust data pipelines while guiding engineering talent to deliver high-quality data solutions.

The role emphasizes mentoring a team, building scalable ETL/ELT pipelines, and advancing orchestration systems with Temporal or Airflow, plus SQL Server expertise and strong English communication.

Qualificações

• 5+ years of experience in Data Engineering or related field.
• Proven expertise in workflow orchestration with Temporal, Airflow, or equivalent.
• Hands-on with SQL Server, stored procedures, and data extraction.
• Experience designing and migrating data pipelines using Talend or Airflow.
• Strong mentoring skills and ability to align with stakeholders.
• Advanced English proficiency.

Responsabilidades

• Lead and mentor a team of developers toward technical growth.
• Design, build, and maintain scalable ETL/ELT data pipelines.
• Architect and manage complex workflow orchestration systems.
• Drive database optimization and data extraction strategies.
• Oversee migration of legacy pipelines to modern architectures.
• Collaborate with cross-functional stakeholders to set standards and roadmaps.

Conhecimentos

Python

Data Engineering

Workflow Orchestration

SQL Server

ETL/ELT Pipelines

Mentoring

Stakeholder Alignment

English Proficiency

Ferramentas

Talend

Airflow

Temporal

Descrição da oferta de emprego

Lead Data Engineer (Python) at BairesDev

At BairesDev®, we've been leading the way in technology projects for over 15 years. We deliver cutting-edge solutions to giants like Google and the most innovative startups in Silicon Valley.

Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive significant impact worldwide.

When you apply for this position, you're taking the first step in a process that goes beyond the ordinary. We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success.

As a Lead Data Engineer (Python), you will spearhead the design and optimization of robust data pipelines while guiding engineering talent to deliver high-quality data solutions. You will serve as a key technical champion, aligning complex operational requirements with scalable backend architecture.

What You'll Do:

• Lead and mentor a team of developers, fostering technical growth and ensuring alignment with organizational goals.
• Design, construct, and maintain scalable ETL/ELT pipelines to automate data ingestion and transformation processes.
• Architect and manage complex workflow orchestration systems to streamline data processing workflows.
• Drive database optimization and efficient extraction strategies across enterprise database environments.
• Oversee the migration and modernization of legacy data pipelines into advanced architectures.
• Collaborate with cross-functional stakeholders to define engineering standards and technical roadmaps.

What we are looking for:

• 5+ years of experience in Data Engineering, Python Development, or a related field.
• Proven expertise in workflow orchestration using Temporal, Airflow, or equivalent.
• Strong hands-on experience with SQL Server, stored procedures, and data extraction.
• Experience with data pipeline design and migration using tools like Talend or Airflow.
• Demonstrated ability in team mentoring and stakeholder alignment.
• Advanced proficiency in English.

How we do make your work (and your life) easier:

• 100% remote work (from anywhere).
• Excellent compensation in USD or your local currency if preferred
• Hardware and software setup for you to work from home.
• Flexible hours: create your own schedule.
• Paid parental leaves, vacations, and holidays.
• Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent.
• Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities.