Posted at: 31 January

Cost Allocation Data Engineer

Company

CompanyInabia Solutions and Consulting, Inc.

Inabia Solutions and Consulting, Inc. is a Washington-based B2B IT services provider specializing in software development, managed services, and technology consulting for Fortune companies.

Remote Hiring Policy:

Inabia Solutions and Consulting, Inc. offers fully remote positions for U.S.-based candidates, with current roles requiring U.S. citizenship or Green Card status.

Job Type

Full-time

Allowed Applicant Locations

United States

Salary

$0 to $55 per hour

Apply Here

Job Description

Cost Allocation Data Engineer
  • Location: US Remote
  • Compensation: Up to $55/hour - W2
  • Work Authorization: U.S. Citizen or Green Card only (no sponsorship available)
Why This Role Matters
This is not a standard data engineering role.

As a Cost Allocation Data Engineer, you will sit at the intersection of cloud economics, financial modeling, and data engineering, building the core allocation logic that enables show back and chargeback across complex cloud environments. Your work will directly influence how business leaders understand, govern, and optimize cloud spend.
This is the most business-logic-intensive engineering role on the team, ideal for someone who thrives on translating financial concepts into scalable, auditable data models.

What You’ll Do
Core Engineering Responsibilities
You will design and build the data foundations that power cost transparency and accountability:
  • Design and implement a cost allocation rule engine supporting:
    • Tag-based attribution
    • Account/subscription-based mappings
    • Custom business-defined allocation rules
  • Build amortization models for upfront cloud commitments:
    • 1-year and 3-year reservations
    • Prepaid and committed-use discounts
  • Implement shared cost distribution models, including:
    • Proportional allocation
    • Even split
    • Fixed-coefficient weighting
  • Create attribution logic for untagged costs, leveraging:
    • Account ownership
    • Usage heuristics
    • Business metadata
  • Develop budget vs. actual variance models to support cost governance
  • Design forecasting input models using historical trends and seasonality
  • Ensure all models align with accounting principles, including:
    • Period alignment
    • Matching principle
    • Accrual and amortization logic
What You Bring
Experience
  • 5–7 years of hands-on data engineering experience
  • Proven experience building chargeback and/or showback systems
  • Strong exposure to cloud cost allocation in enterprise environments
  • Prior work supporting FinOps, Finance, or Cost Management teams is highly preferred
Technical Expertise
  • Expert-level SQL (complex joins, window functions, performance tuning)
  • Strong dimensional data modeling skills (facts, dimensions, slowly changing dimensions)
  • Experience with modern data modeling tools such as:
    • dbt
    • LookML
    • or equivalent frameworks
  • Deep understanding of FinOps cost allocation methodologies
  • Solid grasp of financial accounting concepts, including:
    • Amortization
    • Accruals
    • Budgeting and variance analysis
What Sets You Apart
  • You think in business rules, not just pipelines
  • You can explain financial models clearly to both engineers and finance stakeholders
  • You build data models that are:
    • Auditable
    • Explainable
    • Scalable
  • You’ve worked in environments where cost transparency directly impacts executive decisions
Why Join
  • Work on high-visibility, mission-critical financial data models
  • Fully remote U.S.-based role
  • Collaborate with senior FinOps, Finance, and Engineering leaders
  • Opportunity to shape the foundation of enterprise cloud cost governance

 
Apply Here