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Data Engineer

Listing for: Experis (Austria)
Full Time position Listed on 2026-11-08
Job specializations:
  • IT/Tech
    Data Engineering
Salary/Wage Range or Industry Benchmark: 53 USD Hourly USD 53.00 HOUR

Job Description & How to Apply Below

Experis

Job Title:
Data Engineer

Location:
Remote

Duration: 6

Months

Pay rate:$ 53/hr on W2

Job Description
  • Does the resource have to be Local:
    No
  • Does this role have any
    * Visa Restrictions? None
  • What type of education is needed for this position? Bachelors Degree of any IT related courses
  • Work location : US Remote
  • Will this role work remote/In Office/Hybrid:
    Remote
  • Does this role require vaccination mandate? NA
  • Will the client pay for travel and expenses? No
  • Is industry experience needed for this role and why? 5+ years
  • What are must-have skills for this role?
  • 1. SQL
  • 2. Data Engineering
  • 3. Cost Allocation
  • Years of experience required for each skill? 5
Responsibilities
  • This engineer builds the data models that allocate, attribute, and distribute cloud costs to business dimensions, enabling showback and chargeback capabilities.
  • 5-7 years of data engineering experience
  • This is the most complex position from a business logic perspective. Building allocation rules, amortization calculations, and understanding how to model financial constructs requires both technical depth and domain experience. Ideally someone who has built chargeback/showback systems before.
Engineering Responsibilities
  • Design allocation rule engine supporting tag-based, account-based, and custom mappings
  • Build amortization models for upfront payments (1-year, 3-year commitments)
  • Implement shared cost distribution models (proportional, even split, fixed coefficient)
  • Create untagged cost attribution logic using account ownership and heuristics
  • Build budget vs. actual variance models
  • Design forecasting input models based on historical trends
  • Ensure data models align with accounting periods and matching principles
Technical Skills required
  • Expert SQL and dimensional modeling
  • Experience building allocation and chargeback systems
  • Understanding of Fin Ops cost allocation methodologies
  • Data modeling tools (dbt, LookML, or similar)
  • Understanding of financial accounting concepts (amortization, accruals)
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