Data Engineer

This Remote Data Engineer role at Experis focuses on building and maintaining data models that allocate, attribute, and distribute cloud costs across business dimensions. The work supports showback and chargeback reporting by applying defined allocation rules, amortization logic, and forecasting and variance models.

Key Responsibilities

• Design an allocation rule engine using tag-based, account-based, and custom mapping approaches.
• Build amortization models for upfront payments, including 1-year and 3-year commitment structures.
• Implement shared cost distribution models such as proportional allocation, even split, and fixed coefficient methods.
• Create untagged cost attribution logic using account ownership and heuristic-based rules.
• Develop budget versus actual variance models.
• Design forecasting input models driven by historical trends.
• Ensure data models align with accounting periods and support matching principles.

Requirements

• 5+ years of data engineering experience.
• SQL.
• Data engineering experience.
• Cost allocation experience.
• Bachelor’s Degree in any IT-related courses.
• Work location: US Remote.
• Remote work arrangement.

Technical Skills and Tools

• Expert-level SQL and dimensional modeling.
• Experience building allocation and chargeback systems.
• Understanding of FinOps cost allocation methodologies.
• Working knowledge of data modeling tools, including dbt and LookML (or similar).
• Understanding of financial accounting concepts such as amortization and accruals.

Additional Role Details

• Local requirement: No
• Visa restrictions: None
• Vaccination mandate: NA
• Travel and expenses paid: No
• Industry experience: 5+ years (for complex business logic involving allocation rules, amortization calculations, and financial modeling)
• Preferred experience: Prior experience building chargeback and showback systems

Contract Information

• Job type: Contract
• Location: San Francisco, CA (remote)
• Compensation: USD 53 per hour