Job Opportunities API

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 ideal 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. 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. 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.