Senior Data Engineer, Cloud Cost & Usage Platform
J
JobgetherCloud Infrastructure
Based in Brazil, several hours of overlap with Central Time (CT)Full-TimeSenior
Salary not disclosed
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Job Details
- Languages
- Fluent English
- Required Skills
- PythonSQLApache AirflowSnowflakeData engineeringTerraformdbt
Requirements
- Strong professional experience in Data Engineering with end-to-end ELT/ETL pipelines in cloud environments.
- Advanced SQL and Python skills with hands-on experience using Snowflake.
- Direct experience with modern data orchestration tools such as dbt, Airflow, or Dagster.
- Strong knowledge of the AWS data ecosystem, particularly AWS Glue, Amazon Athena, and Amazon Aurora.
- Solid experience with CI/CD, version control systems, Terraform/IaC, and REST API integrations.
- Extensive knowledge of data modeling and large-scale data processing architectures.
- Fluent English, with the ability to conduct interviews, documentation, meetings, and daily technical communication.
- Strong analytical and problem-solving skills to balance scalability, reliability, and performance.
- Experience with cloud cost optimization, FinOps practices, tagging strategies, or cost monitoring is highly desirable.
- Familiarity with GCP, Datadog, or multi-cloud environments is a plus.
- Experience with Scala and/or a FinOps Foundation Practitioner or Engineer certification is an advantage.
Responsibilities
- Design, build, maintain, and optimize scalable data pipelines, automation systems, and datasets supporting cloud cost visibility, attribution, and usage insights.
- Develop robust data models and ingestion frameworks capable of processing large volumes of telemetry, infrastructure, and usage data.
- Build specialized tooling that enables Product, Engineering, and Finance stakeholders to make informed, cost-aware decisions.
- Optimize data platforms for performance, reliability, scalability, and cost efficiency through query tuning, storage optimization, and compute improvements.
- Partner closely with Engineering and Finance teams to support cloud cost optimization initiatives and develop meaningful usage-based insights.
- Establish and maintain strong data quality, validation, auditing, monitoring, and troubleshooting practices across production workflows.
- Implement and maintain ELT/ETL processes and orchestration workflows using appropriate modern data engineering tools.
- Contribute to CI/CD, Infrastructure as Code, version control, and REST API integrations supporting reliable data platform operations.
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