DataBricks Data Engineer

job summary:

We are seeking a skilled and experienced Databricks Data Engineer to join our team. As a Databricks Data Engineer, you will be responsible for designing, developing, and implementing data engineering solutions using the Databricks platform to support data ingestion, transformation, performance reporting, analytics, sales incentive compensation processing, and enterprise data pipeline processes.

location: New York, New York

job type: Contract

salary: $65.86 - 75.86 per hour

work hours: 9am to 5pm

education: Bachelors



responsibilities:

• Collaborate with business stakeholders to understand their data requirements and translate them into scalable technical solutions.
• Design and develop Databricks-based data pipelines, including data models, Delta Lake tables, and dashboards/notebooks.
• Responsible for the overall Databricks architecture to ensure new pipelines and enhancements to existing workflows are designed in an integrated and optimal manner.
• Maintain and optimize all current Databricks workspaces and pipelines; capture and deliver requirements for new or improved functionality to achieve further automation and integration of data and processes.
• Design and implement data pipelines to support Sales Incentive Compensation (SIC) processes, including quota management, attainment calculations, commission processing, and payout reporting.
• Partner with Sales Operations and Finance teams to understand incentive plan rules and translate them into accurate, auditable data transformations and models.
• Perform testing and debugging of data pipelines and notebooks to identify and resolve issues and ensure optimal performance.
• Provide technical support and troubleshooting for Databricks-based solutions, working closely with end-users and analysts to address their needs and resolve any data-related problems.
• Stay up to date with Databricks features and enhancements (Unity Catalog, Delta Live Tables, Photon, etc.), and proactively identify opportunities to leverage them to improve data quality, performance, and analytics capabilities.
• Collaborate with cross-functional teams, including finance, IT, and business intelligence teams, to ensure seamless integration and alignment of Databricks with other systems and processes.
• Document technical specifications, data models, pipeline configurations, and development processes to ensure knowledge transfer and maintain system documentation.

qualifications:

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.

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.