Job Description

We are seeking a Data Engineer to design, build, and maintain scalable data pipelines, datasets, and automation systems that support cloud cost visibility, attribution, and performance insights.

Job Description

We are seeking a Data Engineer to design, build, and maintain scalable data pipelines, datasets, and automation systems that support cloud cost visibility, attribution, and performance insights.

This role will work with large-scale telemetry, usage, and financial data to help Product, Engineering, and Finance stakeholders make informed, cost-aware decisions.

The adecuado candidate has strong hands‑on experience with cloud data engineering, AWS, Snowflake, production pipeline ownership, data quality, and performance and cost optimization.

Key Responsibilities- Design, build, and maintain reliable end-to-end ELT and ETL pipelines in cloud environments.- Build scalable datasets that support cloud cost visibility, attribution, usage analysis, and performance insights.- Design and implement data models and ingestion frameworks for large-scale telemetry and usage data.- Develop automation and tooling that enable cost‑aware decision‑making across Product, Engineering, and Finance teams.- Optimize data pipelines and systems for performance, reliability, and cost efficiency.- Perform query tuning and improve storage and compute strategies.- Build and maintain integrations with REST APIs and other data sources.- Implement and support CI/CD processes and Infrastructure as Code.- Ensure data quality, validation, auditability, and consistency across end-to-end data workflows.- Monitor, troubleshoot, and resolve production pipeline failures, data inconsistencies,



and performance issues.- Partner with Engineering and Finance stakeholders on cloud cost optimization and usage‑based insights.

Qualifications

Must‑Have Skills- Strong data engineering foundation with proven experience building and maintaining end-to-end ELT or ETL pipelines in cloud environments.- Strong SQL and Python skills.- Experience with data workflow and orchestration tools such as dbt, Airflow, or Dagster.- Hands‑on experience with the AWS data ecosystem, including AWS Glue, Amazon Athena, and Amazon Aurora.- Experience with Snowflake.- Strong data modeling experience.- Experience processing data at scale.- Experience with CI/CD and version control.- Hands‑on Infrastructure as Code experience using Terraform.- Experience building or maintaining REST API integrations.- Demonstrated ability to optimize data pipelines for performance and cost.- Strong analytical and troubleshooting skills.- Experience with data validation, auditing, and production pipeline support.- Enterprise experience strongly preferred.

Nice‑to‑Have Skills- Scala experience.- Fin

Ops Certified Practitioner or Fin

Ops Certified Engineer certification.- Experience with cloud cost optimization, tagging strategies, or cost‑monitoring systems.- Experience working across both AWS and GCP.- Experience with Datadog.- Background in data platform engineering or shared infrastructure engineering.

Additional Information

Required Tools & Platforms- Python- SQL- AWS Glue- Amazon Athena- Amazon Aurora- Snowflake- dbt, Airflow, or Dagster- Terraform- CI/CD tooling- Git or another version-control platform- REST APIsLocation, Time & Engagement- Remote contract opportunity.- Candidates must be located in LATAM.- Full‑time allocation of approximately 40 hours per week.- Candidates must be available to work a U.S.-based EST or CST schedule.- Contract expected to continue through March 31, 2027.#J-18808-Ljbffr

📌 #126292 - Data Engineer (Bogotá)
🏢 Upwork
📍 Bogotá