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Mid-level data engineering role in metro area with broad cloud/tool requirements raises competition.
Core data engineering skills are transferable, though FinOps/cost-specialization increases domain specificity.
Multiple mandatory tech skills and explicit 5+ years requirement enforce strict candidate filters.
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Build and maintain scalable data pipelines integrating cloud cost, usage, telemetry, and business data to support FinOps platform operations.
Ensure data product reliability for cloud financial governance including forecasting, reporting, cost allocation, and optimization at enterprise scale.
Develop APIs, CI/CD pipelines, and automation for data services enabling dashboards, analytics, and self-service capabilities on AWS and GCP.
5+ years of data engineering experience.
Strong SQL and Python development skills with experience in AWS and/or GCP data pipelines.
Experience with DevOps practices including CI/CD pipelines, Docker, Kubernetes, and Infrastructure as Code tools.
Bachelor's degree in Computer Science, Engineering, Analytics, or related field.
Experienced in cloud-native data engineering with a focus on financial operations (FinOps) or cloud cost management.
Proficient in optimizing data platforms for performance, scalability, and reliability in multi-cloud environments (AWS and GCP).
Skilled in collaborating with cross-functional teams to translate FinOps requirements into automated, data-driven solutions.