Databricks Data Engineer with Sales Incentive Compensation (SIC)

Job Title:  Databricks Data Engineer with Sales Incentive Compensation (SIC)

Location: NY (Only W2 role)

Duration: Longterm

Description:

At least 7 years of experience in data engineering, with a minimum of 3 years hands-on experience building and managing Databricks solutions.

Extensive experience with Databricks platform components: Delta Lake, Delta Live Tables, Unity Catalog and Databricks Workflows.

Strong proficiency in Python and/or Scala for data engineering; SQL expertise required.

Strong experience with core data engineering practices including data ingestion, transformation (ETL/ELT), data modeling, and pipeline orchestration.

Functional and technical experience with Sales Incentive Compensation (SIC) — including incentive plan design, quota allocation, attainment tracking, commission calculations, and payout processing.

Familiarity with SIC platforms (e.g., Anaplan, Oracle ICM, Varicent) and experience integrating them with data engineering platforms is a strong plus.

Ability to understand complex incentive compensation rules and model them accurately in data pipelines and transformation logic.

Experience integrating Databricks with cloud platforms (Azure, AWS, or Google Cloud Platform) and data sources such as Azure Data Factory, Event Hubs, Kafka, or equivalent.

Passion and ability to create holistic, end-to-end, integrated data solutions.

Stakeholder management skills; ability to challenge constructively and translate complex business requirements into scalable data architectures — not just gather requirements.

Strong analytical and problem-solving skills, with the ability to understand complex data requirements and implement reliable, efficient solutions.

Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders.

Must work well in a team environment while being a resourceful, independent self-starter able to work effectively with minimal direction.

Skilled at documenting complex data architectures and pipelines in a professional manner.

Ability to work independently and manage multiple tasks and priorities in a fast-paced environment.

Passion for data quality, performance optimization, and delivering excellent end-user data experiences.

Databricks Certified Data Engineer Associate or Professional certification is a plus.