Lead Data Engineer (Python) - Remote Work

BairesDev; Bogotá ciudad; Remote; COP 382,226,000 - 573,340,000; Full time

Benefits offered by this job

100% remote

USD or local currency compensation

Hardware provided

Flexible hours

Paid parental leave

Global, diverse team

Job summary

BairesDev is seeking a Lead Data Engineer (Python) to drive the design and optimization of robust data pipelines while mentoring a talent-rich team.

You will architect scalable ETL/ELT solutions, orchestrate complex workflows, and optimize databases, shaping data strategies across enterprise environments. This role is fully remote with generous USD compensation and flexible work arrangements.

Qualifications

• 5+ years of experience in Data Engineering or related field.
• Expertise in workflow orchestration with Temporal/Airflow.
• Proficient in SQL Server and data extraction.
• Experience designing and migrating data pipelines.
• Strong mentoring and stakeholder alignment abilities.
• Advanced English proficiency.

Responsibilities

• Lead and mentor a team of developers.
• Design and maintain scalable ETL/ELT 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 stakeholders to define standards and roadmaps.

Skills

Python

Data engineering

Workflow orchestration

Mentoring

English proficiency

Tools

Talend

Airflow

SQL Server

Job description

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.

Lead Data Engineer (Python) at BairesDev

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.