Data Engineer (Middle/Senior) ID32276

AgileEngine, LLC.

Medellín

Hybrid

COP 194,194,000 - 291,290,000

Full time

14 days+
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Benefits offered by this job

Professional growth
Competitive USD compensation
Mentorship and TechTalks
Education budget and wellness

Job summary

AgileEngine, LLC. is seeking a data engineer in Medellín, Colombia to build and optimize data pipelines, design Snowflake data models for analytics, and enhance observability. The role involves creating dashboards, collaborating with stakeholders, and delivering actionable business insights.

Ideal candidates have 3+ years in data modeling, strong SQL and Python, experience with Airflow and dbt, and familiarity with AWS S3. A hybrid work setup with flexible scheduling is available.

Qualifications

  • 3+ years of experience in data modeling principles, especially Kimball.
  • Strong proficiency in SQL and experience with Snowflake or similar cloud data warehouses.
  • Strong proficiency in Python for data processing and automation.
  • Hands-on experience building ETL pipelines with Airflow or similar orchestration tools.
  • Hands-on experience using dbt for data transformation, modeling and testing.
  • Experience consuming APIs and integrating data with Snowflake.
  • Ability to develop simple Tableau dashboards.
  • Proficiency in GitLab CI/CD workflows for CI/CD.
  • Familiarity with AWS services, especially S3.
  • Strong analytical and problem-solving skills.
  • Innovative and productivity-driven mindset, eager to automate processes.

Responsibilities

  • Build and optimize data pipelines to ensure reliable integration and transformation.
  • Design and maintain Snowflake tables and data models for analytics and reporting.
  • Enhance data observability to proactively identify and resolve issues.
  • Create dashboards and workflows to deliver business insights.
  • Collaborate with stakeholders to ensure project transparency and success.

Job description

Medellin, Colombia | Posted on 03/06/2025


What you will do


  • Build and optimize data pipelines to ensure reliable integration and transformation;

  • Design and maintain Snowflake tables and data models for analytics and reporting;

  • Enhance data observability to proactively identify and resolve issues;

  • Create dashboards and workflows to deliver business insights;

  • Collaborate with stakeholders to ensure project transparency and success.


Must haves


  • +3 years of experience in data modeling principles/methods, especially Kimball ;

  • Strong proficiency in SQL and experience working with Snowflake or similar cloud-based data warehouses;

  • Strong proficiency in Python for data processing and automation;

  • Hands‑on experience building ETL pipelines using Apache Airflow or similar orchestration tools;

  • Hands‑on experience using DBT for data transformation, modeling, and testing;

  • Strong experience consuming APIs and integrating data with Snowflake;

  • Ability to develop simple Tableau dashboards;

  • Proficiency in GitLab CI/CD workflows for continuous integration and deployment;

  • Familiarity with AWS services, especially S3 ;

  • Strong analytical and problem-solving skills;

  • Innovative and productivity‑driven mindset – willingness to improve and automate processes;

  • Ability to adapt to business needs and stakeholder requirements;

  • Ability to communicate work clearly;


Nice to haves


  • Basic knowledge of local development using Docker;

  • Tableau or any BI development experience.


The benefits of joining us


  • Professional growth

  • Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.

  • Competitive compensation

  • We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.

  • A selection of exciting projects

  • Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.

  • Flextime

  • Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.


Next Steps After You Apply

The next steps of your journey will be shared via email within a few hours . Please check your inbox regularly and watch for updates from our Internal Applicant site, LaunchPod , which will guide you through the process.

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