Know ATS Score
CV/Résumé Score
  • Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role: Senior Data Engineer.
Colombia Jobs Expertini

Urgent! Senior Data Engineer Job Opening In WorkFromHome – Now Hiring Workana



Job description

Workana Bogota, D.C., Capital District, Colombia

3 days ago Be among the first 25 applicants

This range is provided by Workana.

Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$50,000.00/yr - $60,000.00/yr

Workana is the largest remote work platform for talents in Latin America.

Our new segment, Workana Premium, focuses on matching the most exceptional professionals with leading and innovative companies around the globe.

Enjoy competitive compensation, dedicated support, and the flexibility of remote work within a dynamic environment that fosters collaboration and professional advancement.

We are proud to present you with the following opportunity.

About Our Client

Our client is a fast-growing technology-driven company working on advanced data solutions to support analytics and digital transformation initiatives.

They are building scalable, secure data platforms and pipelines that power decision-making across the organization.

Role Overview

As a Senior Data Engineer , you will be responsible for designing, developing, and maintaining robust data pipelines and infrastructure.

You will work closely with cross-functional teams to ensure high-quality, reliable, and scalable data solutions.

This role requires strong expertise in Python, Airflow and AWS , with an opportunity to contribute to DevOps practices.

Responsibilities

  • Design, build, and maintain ETL pipelines using Airflow and AWS-native services.

  • Develop scalable data solutions and integrate data from diverse sources into the enterprise data platform.

  • Ensure data availability, reliability, and performance across production systems.

  • Collaborate with data scientists, analysts, and business teams to enable advanced analytics and insights.

  • Implement best practices for data governance, quality, and security.

  • Contribute to process automation and infrastructure improvements

Requirements

  • 5+ years of experience in Data Engineering.

  • Strong hands-on experience with Airflow for orchestration and workflow management.

  • Solid expertise with AWS services (S3, Redshift, Glue, Lambda, EMR, etc.).

  • Proficiency in Python for data processing and automation.

  • Strong SQL skills and familiarity with relational and NoSQL databases.

  • Experience building and optimizing large-scale data pipelines.

  • Ability to analyze complex datasets and troubleshoot data issues.

  • Excellent communication and collaboration skills

Nice to Have

  • Experience with DevOps practices (CI/CD, Terraform, Docker, Kubernetes).

  • Exposure to data streaming technologies (Kafka, Kinesis).

  • Familiarity with data science workflows and machine learning integration

Benefits

  • Compensation in USD
  • Fully remote work in Latin America
  • Career growth opportunities with international clients and dynamic projects

Details

  • Seniority level – Mid-Senior level
  • Employment type – Contract
  • Job function – IT Services and IT Consulting
  • Industries – IT Services and IT Consulting

Referrals increase your chances of interviewing at Workana by 2x

Senior Data Engineer

Bogota, D.C., Capital District, Colombia 2 months ago

We’re unlocking community knowledge in a new way.

Experts add insights directly into each article, started with the help of AI.

#J-18808-Ljbffr


Required Skill Profession

Bases De Datos, Analítica Y Bi



Your Complete Job Search Toolkit

✨ Smart • Intelligent • Private • Secure

Start Using Our Tools

Join thousands of professionals who've advanced their careers with our platform

Rate or Report This Job
If you feel this job is inaccurate or spam kindly report to us using below form.
Please Note: This is NOT a job application form.


    Unlock Your Senior Data Potential: Insight & Career Growth Guide