Data Engineer

Skydropx - Frenet · Remote · Colombia ·
Fully remoteFull-timeMiddle3–5 years
COMPENSATION
€•• – ••k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Fully remote (LATAM)
  • Python + BigQuery
  • ETL & Data Pipelines
  • Flexible hours
  • Multicultural team

Join Skydropx to help innovate logistics across Latin America. You will design efficient data architectures and manage large-scale data processing to support business insights.

The team operates in a dynamic, ambitious environment where you can grow your career while solving complex data challenges using modern tools.

What you'll do

  • Collect data from databases, CSV files, and APIs using ETL tools
  • Clean, normalize, and validate data to ensure quality and consistency
  • Design and build automated data pipelines with Matillion and SQLMesh
  • Integrate external API data to enrich datasets for analysis
  • Contribute to architecture design for handling large data volumes

What you'll need

  • Degree in Engineering, Actuarial Science, Applied Math, or related field
  • Strong programming skills in Python with focus on efficient code
  • Advanced knowledge of NumPy, Pandas, Polars, and SQL
  • Experience managing large-scale data and optimizing queries in BigQuery
  • Proficiency with ETL tools like Matillion and SQLMesh
  • Knowledge of relational and non-relational databases
  • Familiarity with Datawarehouse, datalake, and datavault concepts
  • Experience with Airflow, git, and data observability practices
  • Ability to prioritize tasks and manage multiple deadlines effectively

Stack

  • Python
  • SQL
  • BigQuery
  • Matillion
  • SQLMesh
  • Airflow
  • Git
  • NumPy
  • Pandas
  • Polars

How you'll work

  • 100% remote work arrangement
  • Monday to Friday, 8:00 to 18:00 CST (Mexico)
  • Flexible hours during new release periods

What you get

  • Competitive salary negotiable based on experience
  • Professional growth and development opportunities
  • Regional mission impacting LATAM logistics

Hiring process

  • Apply through the platform
  • Recruitment team contacts matching profiles