Quick Overview
Job Description
Sr. FinOps Data Engineer (AWS/Snowflake/Scala) supporting a large, well-known SaaS company.
No Third Party solicitation or submittal please.
Key Skills: Sr. Data Engineer, Scala, FinOps, AWS, Snowflake, Google Cloud Platform, orchestration tools, Data Pipelines, FinOps Certification a plus!
Location: Remote
Duration: contract until 3/31/2027 with likely extensions
Rate: $70-95 an hour W2
Description:
The Cloud Economics team powers cost transparency, attribution, and optimization across the organization's cloud footprint. This role engages a Platform Automation & Data Engineer to design, build, and maintain the team's data ingestion and automation platforms, blending data engineering, analytical rigor, observability and telemetry analysis, and cloud value management. The objective is to strengthen the team's cost transparency, attribution, and optimization capabilities so that product, engineering, analyst, and finance stakeholders can make faster, data-driven decisions and trust the data.
Key Responsibilities
Develop and implement tooling and datasets that drive telemetry-driven cost attribution and performance-informed financial modeling, enabling product, engineering, analyst, and finance stakeholders to make faster, data-driven decisions and trust the data.
Build and maintain data pipelines and tooling that provide cost transparency, surface optimization opportunities, and support committed use discount modeling and management.
Must-Have Skills
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), Google Cloud Platform, 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.
Nice-to-Have Skills
Experience with FinOps teams or cost optimization job duties.
FinOps Practitioner or FinOps Engineer certification.
Experience with Datadog API endpoints.
Experience with Go.
About Us
Advantage Technical connects top- talent in technology, engineering, and technical fields with forward-looking companies. Advantage Technical is an equal opportunity employer. All applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other legally protected status. Advantage Technical offers reasonable accommodations for qualified individuals with disabilities; contact your local branch for inquiries. Advantage Technical is an E-Verify employer.
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