Remote Sr. FinOps Data Engineer – AWS/Snowflake/Scala

Advantage Technical; Austin (TX); Remote; USD 96,000 - 131,000; Full time

Job summary

Advantage Technical is seeking a Sr. FinOps Data Engineer to join the Cloud Economics team, driving cost transparency, attribution, and optimization across the cloud footprint.

The role blends data engineering, analytics, observability, and cloud value management to enable data-driven decisions across product, engineering, analyst, and finance stakeholders. The position focuses on designing, building, and maintaining data ingestion and automation platforms using SQL, Spark, Scala, and AWS

Qualifications

• Hands-on experience with SQL, Python, Spark, and Scala.
• Hands-on experience with workflow orchestration tools such as dbt, Airflow, and Dagster.
• Hands-on experience with AWS (Glue, Aurora, Athena), GCP, and Snowflake (AWS is required)
• Experience architecting and enhancing the long-term maintainability of end-to-end ELT/ETL data pipelines, including data modeling and schema maturity.
• Exposure to CI/CD development processes, Infrastructure as Code (Terraform), and REST API programming.
• Strong attention to detail, analytical skill, and comprehensive data auditing and end-to-end validation skills.
• Ability to explain technical concepts to non-technical audiences.

Responsibilities

• Develop tooling and datasets that drive telemetry-driven cost attribution and performance-informed financial modeling.
• Build and maintain data pipelines and tooling that provide cost transparency, surface optimization opportunities, and support committed use discount modeling and management.

Skills

SQL

Python

Spark

Scala

dbt

Airflow

Dagster

AWS

Glue

Aurora

Athena

GCP

Snowflake

ETL/ELT pipelines

Data modeling

CI/CD

Terraform

REST API

Data validation

FinOps

FinOps certification

Datadog API

Go

Tools

Go

Job description

Advantage Technical is seeking a Sr. FinOps Data Engineer to join the Cloud Economics team, driving cost transparency, attribution, and optimization across the cloud footprint.

The role blends data engineering, analytics, observability, and cloud value management to enable data-driven decisions across product, engineering, analyst, and finance stakeholders. The position focuses on designing, building, and maintaining data ingestion and automation platforms using SQL, Spark, Scala, and AWS