- 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.

Originally posted on Himalayas