Data Engineer & Scientist: Capacity Forecasting (Remote)

Bayside Solutions; Cupertino (CA); Remote; USD 171,924,000 - 200,579,000; Full time

Job summary

Bayside Solutions is seeking a Senior Data Engineer/Data Scientist to lead capacity forecasting, cloud cost modeling, and infrastructure efficiency initiatives. Remote role based in Cupertino, CA, with a W2 contract and pay rate of $60-$70 per hour.

The role combines data engineering, forecasting, and FinOps to enable scalable, cost-efficient infrastructure decisions across Media and its business units. You will own forecasts, develop cost models, and drive cost-optimization initiatives.

Qualifications

• 6+ years of experience in data engineering, analytics, or FinOps.
• Strong Python and SQL for data processing, modeling, and analysis.
• Experience building forecasting models and working with time-series data.

Responsibilities

• Own end-to-end infrastructure demand forecasting across compute, storage, networking, and accelerator resources.
• Develop and maintain 12-15 month forecasts using time-series techniques (ARIMA, Prophet).
• Gather inputs from product and engineering teams and incorporate growth signals.
• Build cost attribution models allocating infrastructure spend across teams, products, and workloads.
• Design dashboards and reporting frameworks for forecast vs. allocation and capacity utilization trends.

Skills

Data engineering

Analytics

FinOps

Python

SQL

Forecasting

Tools

Spark

Tableau

Looker

Job description

Bayside Solutions is seeking a Senior Data Engineer/Data Scientist to lead capacity forecasting, cloud cost modeling, and infrastructure efficiency initiatives. Remote role based in Cupertino, CA, with a W2 contract and pay rate of $60-$70 per hour.

The role combines data engineering, forecasting, and FinOps to enable scalable, cost-efficient infrastructure decisions across Media and its business units. You will own forecasts, develop cost models, and drive cost-optimization initiatives.