About this role

Company Description

Job Description

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.

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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.

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Key Responsibilities

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* 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.

Qualifications

Must-Have Skills

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* 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.

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Nice-to-Have Skills

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* 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.

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Additional Information

Required Tools & Platforms

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* 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

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Location, Time & Engagement

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* 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.

Frequently Asked Questions

Is the salary disclosed for the Copy of #126292 - Data Engineer position at liftedanupworkcompany?
The salary for this Copy of #126292 - Data Engineer role at liftedanupworkcompany is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Is the Copy of #126292 - Data Engineer job at liftedanupworkcompany remote?
Yes, this Copy of #126292 - Data Engineer position at liftedanupworkcompany is remote, with team members based in cl, Santiago, Santiago Metropolitan Region, Santiago, Santiago Metropolitan Region, Chile. You can work from home or anywhere in the supported regions.
Is the Copy of #126292 - Data Engineer role at liftedanupworkcompany full-time or part-time?
This is listed as a Contract position. It is posted as a Copy of #126292 - Data Engineer role at liftedanupworkcompany.
How do I apply for the Copy of #126292 - Data Engineer position at liftedanupworkcompany?
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When was the Copy of #126292 - Data Engineer job at liftedanupworkcompany posted?
This Copy of #126292 - Data Engineer position at liftedanupworkcompany was posted on Aug 10, 2026. Apply as soon as possible โ€” early applications are often reviewed first.
Copy of #126292 - Data Engineer
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