Data Engineer

This is a fully remote position, open to applicants in Chile.

📋 Description

• Design, construct, and sustain dependable end-to-end ELT and ETL pipelines within cloud settings.

• Create scalable datasets that facilitate cloud cost visibility, attribution, usage analysis, and performance insights.

• Develop and implement data models and ingestion frameworks for extensive telemetry and usage data.

• Create automation and tools that empower cost-aware decision-making across Product, Engineering, and Finance teams.

• Enhance data pipelines and systems to ensure optimal performance, reliability, and cost efficiency.

• Conduct query tuning and refine storage and compute strategies.

• Establish and sustain integrations with REST APIs and various data sources.

• Implement and maintain CI/CD processes along with Infrastructure as Code.

• Guarantee data quality, validation, auditability, and consistency throughout comprehensive data workflows.

• Monitor, diagnose, and resolve production pipeline failures, data inconsistencies, and performance challenges.

• Collaborate with Engineering and Finance stakeholders to optimize cloud costs and derive usage-based insights.

⛳️ Requirements

• Demonstrated experience in developing and maintaining end-to-end ELT or ETL pipelines within cloud environments.

• Proficient in SQL and Python.

• Familiarity with dbt, Airflow, or Dagster.

• Practical experience with the AWS data ecosystem, including AWS Glue, Amazon Athena, and Amazon Aurora.

• Experience with Snowflake.

• Strong background in data modeling.

• Experience in processing data at scale.

• Knowledge of CI/CD practices and version control.

• Practical experience with Infrastructure as Code using Terraform.

• Experience in building or maintaining REST API integrations.

• Proven ability to optimize data pipelines for both performance and cost.

• Strong analytical and troubleshooting capabilities.

• Experience with data validation, auditing, and support for production pipelines.

• Enterprise experience is highly preferred.

• Scala experience is considered a valuable addition.

• FinOps Certified Practitioner or FinOps Certified Engineer certification is a plus.

• Familiarity with cloud cost optimization, tagging strategies, or cost-monitoring systems is advantageous.

• Experience working across AWS and GCP is a plus.

• Knowledge of Datadog is beneficial.

• Background in data platform engineering or shared infrastructure engineering is a plus.

• Candidates must reside in LATAM.

• Candidates should be available to work on a U.S.-based EST or CST schedule.

🏝️ Benefits

• Opportunity for remote work.

• Full-time commitment of approximately 40 hours per week.

• Contract anticipated to extend through March 31, 2027.