HR Pundits
HR Pundits

Sr Sales Incentive Compensation (SIC) Data Engineer

New York, NY, US • Posted 1 day ago • Updated 8 hours ago
Full Time
Part Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Analytics
  • Data Engineering
  • Unity
  • Workflow
  • Python
  • Scala
  • SQL
  • Sales
  • Management
  • Reporting
  • Oracle
  • Cisco ICM
  • Incident Management
  • Varicent
  • Extract
  • Transform
  • Load
  • ELT
  • Data Modeling
  • Orchestration
  • Microsoft Azure
  • Amazon Web Services
  • Google Cloud Platform
  • Google Cloud
  • ADF
  • Apache Kafka
  • Stakeholder Management
  • Analytical Skill
  • Communication
  • Databricks

Summary

Sr Sales Incentive Compensation (SIC) Data Engineer - Databricks

Location: New York, NY - Onsite

We are seeking a Senior SIC Data Engineer with strong Databricks experience to design and develop scalable data solutions supporting sales incentive compensation, analytics, reporting, and enterprise data pipelines.

Key Requirements

  • Data Engineering experience with Databricks.
  • Strong hands-on experience with Databricks, Delta Lake, DLT, Unity Catalog, and Workflows.
  • Strong Python/Scala and SQL skills.
  • Experience with Sales Incentive Compensation (SIC) processes:
    • Quota management/allocation
    • Attainment calculations
    • Commission calculations
    • Payout processing & reporting
  • Ability to translate complex incentive compensation rules into scalable data pipelines.
  • Experience with Anaplan, Oracle ICM, Varicent or similar SIC platforms is a plus.
  • Strong ETL/ELT, data modeling, data ingestion, and pipeline orchestration experience.
  • Experience with Azure/AWS/Google Cloud Platform and ADF, Event Hubs, Kafka, or equivalent.
  • Strong stakeholder management, analytical, troubleshooting, and communication skills.
  • Databricks certification is a plus.



Candidates with strong Databricks + SIC experience are highly preferred.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10236892
  • Position Id: OOJ - 5662-4663-1787260637
  • Posted 1 day ago
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