DataOps Engineer - Remote Work

BairesDev; Colombia; Remote; COP 286,670,000 - 382,226,000; Full time

Benefits offered by this job

Remote work (100% from anywhere)

Competitive USD or local currency pay

Home office setup provided

Flexible hours

Paid parental leave and holidays

Mentorship and growth

Global, multicultural team

Job summary

DataOps Engineer at BairesDev is a 100% remote role where you will apply DevOps principles to data infrastructure, ensuring high-quality data delivery through automation and orchestration.

You will design and implement CI/CD pipelines for data integration, orchestrate data pipelines at scale, develop automated data quality tests, implement monitoring, and optimize environments across development, staging, and production.

Qualifications

• 4+ years in Data Engineering, DevOps, or DataOps.
• Experience applying DevOps to data infrastructure and pipelines.
• Proficiency in CI/CD workflows for data orchestration and automated testing.
• Hands-on experience monitoring data environments.
• Strong background in data reliability and scalability via automation.
• Advanced English proficiency.

Responsibilities

• Design and implement CI/CD pipelines to automate data integration and processing workflows.
• Orchestrate complex data pipelines to ensure reliable data movement at scale.
• Develop automated testing frameworks to validate data quality and schema consistency.
• Implement comprehensive monitoring and alerting for data infrastructure performance and reliability.
• Manage and optimize data environments across development, staging, and production.

Skills

DevOps

Data engineering

CI/CD

Data orchestration

Automation

Monitoring

Tools

CI/CD pipelines

Monitoring tools

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.

DataOps Engineer at BairesDev

As a DataOps Engineer, you will apply DevOps principles to data infrastructure, ensuring the seamless delivery of high-quality data through automation and orchestration. You will align data engineering and operations to improve the agility, speed, and accuracy of data analytics.

What You'll Do:

• Design and implement CI/CD pipelines to automate data integration and processing workflows.
• Orchestrate complex data pipelines to ensure reliable and efficient data movement at scale.
• Develop automated testing frameworks to validate data quality and schema consistency.
• Implement comprehensive monitoring and alerting for data infrastructure performance and reliability.
• Manage and optimize data environments to ensure consistency across development, staging, and production.

What we are looking for:

• 4+ years of experience in Data Engineering, DevOps, or DataOps.
• Proven expertise in applying DevOps principles to data infrastructure and pipelines.
• Proficiency in implementing CI/CD workflows for data orchestration and automated testing.
• Hands-on experience with monitoring and managing complex data environments.
• Strong background in ensuring data reliability and scalability through automation.
• 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.