Data Engineer

This is a remote position.

About the Role

What You'll Do

• Design, build, and maintain the Cloud Economics team's data pipelines and automation systems.
  

• Build and maintain scalable data pipelines and datasets that power cloud cost visibility, attribution, and performance insights.
  

• Design and implement data models and ingestion frameworks to support large-scale telemetry and usage data.
  

• Develop tooling that enables cost-aware decision-making across Product, Engineering, and Finance stakeholders.
  

• Optimize data systems for performance, reliability, and cost efficiency (query tuning, storage strategies, compute optimization).
  

• Partner with Engineering and Finance teams to support cost optimization initiatives and usage-based insights.
  

• Ensure data quality, validation, and auditability across end-to-end data workflows.
  

What You'll Need

• Strong Data Engineering foundation with proven experience building and maintaining end-to-end ELT/ETL pipelines in cloud environments.
  

• Strong SQL and Python skills (Scala is a plus).
  

• Experience with orchestration tools such as dbt, Airflow, or Dagster.
  

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

• Experience with Snowflake as a cloud data warehouse.
  

• Strong data modeling and large-scale data processing experience.
  

• Experience with CI/CD, version control (GitHub), and Infrastructure as Code (Terraform).
  

• Experience with REST API integrations.
  

• Demonstrated ability to optimize data pipelines for performance and cost.
  

• Strong analytical skills with experience in data validation, auditing, and troubleshooting production pipelines.
  

• FinOps Foundation Certification (Practitioner or Engineer).
  

• Experience with cloud cost optimization, tagging strategies, or cost monitoring.
  

• Experience with both AWS and GCP.
  

• Experience with Datadog for monitoring and observability.
  

• Background in data platform or shared infrastructure engineering.
  

• Awareness or knowledge of IT security best practices as defined by ISO / SOC or similar standards
  

• Be part of a remote-first organization where flexibility is embraced.
  

• Work and learn alongside talented engineers and technology leaders.
  

• Explore opportunities to learn and grow through technical and non-technical training programs.
  

• Gain global exposure by working on products with international teams and clients.
  

• Attend virtual and in-person international technology conferences to expand your knowledge and network.
  

• Exposure to working in an IT environment that adheres to rigorous security and compliance standards defined by ISO / SOC.