#126292 - Data Engineer

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.