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 idóneo 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.

FinOps Certified Practitioner or FinOps 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 APIs

Location, 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.

📌 Data Engineer (Bogotá)
🏢 Lifted, an Upwork Company™
📍 Bogotá