Data Engineer

Experis is hiring a Remote Data Engineer for a contract role based in San Francisco, CA (remote) . In this position, you will build data models that allocate, attribute, and distribute cloud costs to business dimensions, enabling showback and chargeback use cases. The work centers on complex business logic, including allocation rules, amortization, and financial accounting alignment. What you will do Design an allocation rule engine that supports tag-based , account-based , and custom mappings . Build amortization models for upfront payments, including 1-year and 3-year commitments. Implement shared cost distribution models, such as proportional , even split , and fixed coefficient approaches. Create untagged cost attribution logic using account ownership and heuristics . Develop budget vs. actual variance models. Design forecasting input models that rely on historical trends . Ensure data models align with accounting periods and matching principles . Required skills and experience 5+ years of data engineering experience (5-7 years indicated).

SQL .

Data Engineering . Cost Allocation . Bachelors Degree in any IT-related course. Work location: US Remote . Technical skills Expert SQL and dimensional modeling . Experience building allocation and chargeback systems. Understanding of FinOps cost allocation methodologies . Experience with data modeling tools such as dbt and LookML (or similar). Understanding of financial accounting concepts including amortization and accruals . Additional role details Contract role. Location: San Francisco, CA (remote). Pay: USD 53 per hour. Local presence required: No . Visa restrictions: None . Vaccination mandate: NA . Travel and expenses paid: No . Industry experience needed: Yes (5+ years) . #J-18808-Ljbffr Experis (Austria)