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#126292 - Data Engineer

Lifted (an Upwork Company)Anguilla, Antigua and Barbuda + 43 more

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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.

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L(

#126292 - Data Engineer

Lifted (an Upwork Company)Anguilla, Antigua and Barbuda + 43 more

Apply now

Opens the original posting.

Apply now

Share job

Copy link or share on social media.

Apply on the original site

Companies in this catalog do not charge applicants. Never send money to apply.

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