Financial Services Jobs

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Databricks Data Engineer – Sales Incentive Compensation | New York, NY

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Databricks Data Engineer – Sales Incentive Compensation

📍 Location: New York, New York
🏢 Work Arrangement: Hybrid
📄 Contract Length: Six Months
💰 Hourly Rate: Approximately $75 per hour
💼 Employment Type: Contract
🚫 Visa Sponsorship: Not Available
🚚 Relocation Assistance: Not Available
🏦 Industry: Insurance and Financial Services

Build the Data Infrastructure Behind Enterprise Sales Compensation

A leading global organization is seeking an experienced Databricks Data Engineer to design, develop and optimize enterprise data solutions supporting analytics, performance reporting and Sales Incentive Compensation.

This is not purely a pipeline-development position. The successful candidate will combine strong Databricks engineering expertise with an understanding of incentive compensation processes, including quota allocation, attainment calculations, commission processing and payout reporting.

You will work closely with Sales Operations, Finance, Business Intelligence and technology teams to translate complex business rules into scalable, accurate and auditable data solutions.

Why This Opportunity Stands Out

This opportunity will allow you to:

  • Own the design and development of enterprise Databricks solutions

  • Influence the wider Databricks architecture and technical roadmap

  • Build data pipelines supporting business-critical compensation processes

  • Work with Delta Lake, Delta Live Tables, Unity Catalog and Databricks Workflows

  • Translate complex incentive-plan rules into reliable transformation logic

  • Improve automation, integration, data quality and platform performance

  • Partner directly with senior Finance, Sales Operations and technology stakeholders

  • Deliver solutions that directly influence commission and compensation accuracy

What You’ll Be Doing

Databricks Architecture and Engineering

  • Design, develop and implement scalable Databricks-based data solutions

  • Build and maintain data pipelines supporting ingestion, transformation, reporting and analytics

  • Develop data models, Delta Lake tables, notebooks and reporting datasets

  • Take ownership of the overall Databricks architecture

  • Ensure new pipelines and enhancements integrate effectively with existing workflows

  • Maintain and optimize Databricks workspaces, pipelines and orchestration processes

  • Identify opportunities to improve automation, performance and data integration

  • Design reliable ETL and ELT processes across multiple enterprise data sources

Sales Incentive Compensation

  • Build data pipelines supporting Sales Incentive Compensation processes

  • Translate incentive-plan rules into accurate and auditable data transformations

  • Support quota allocation and quota-management processes

  • Develop logic for attainment tracking and performance calculations

  • Support commission calculations and payout processing

  • Produce reliable datasets for compensation reporting and reconciliation

  • Work closely with Sales Operations and Finance to understand plan structures and business rules

  • Ensure calculation logic is transparent, documented and capable of being audited

  • Integrate incentive-compensation platforms with enterprise data and analytics solutions

Performance and Data Quality

  • Test, debug and optimize Databricks pipelines and notebooks

  • Investigate and resolve data-quality, performance and integration issues

  • Improve the reliability and efficiency of existing workflows

  • Implement appropriate controls and validation processes

  • Monitor data pipelines and troubleshoot failures or inconsistencies

  • Deliver a high-quality experience for analysts and other data consumers

Stakeholder and Technical Collaboration

  • Work with business stakeholders to understand complex data requirements

  • Translate functional requirements into scalable technical architectures

  • Challenge requirements constructively when a more effective solution is available

  • Partner with Finance, Sales Operations, IT and Business Intelligence teams

  • Provide technical support to analysts and end users

  • Communicate technical concepts clearly to both technical and non-technical audiences

  • Manage multiple priorities within a fast-paced enterprise environment

Documentation and Platform Development

  • Document data architectures, models, pipelines and configuration decisions

  • Produce clear technical specifications and development documentation

  • Maintain documentation to support knowledge transfer and long-term platform ownership

  • Stay current with Databricks capabilities and platform enhancements

  • Identify opportunities to use features such as Unity Catalog, Delta Live Tables and Photon

What You’ll Bring

Essential Databricks and Data Engineering Experience

  • At least seven years of professional data-engineering experience

  • A minimum of three years of hands-on Databricks experience

  • Extensive experience building and managing production Databricks solutions

  • Strong knowledge of:

    • Delta Lake

    • Delta Live Tables

    • Unity Catalog

    • Databricks Workflows

    • Databricks notebooks and workspaces

  • Advanced proficiency in Python and/or Scala

  • Strong SQL development expertise

  • Experience with data ingestion, transformation, ETL/ELT and data modelling

  • Experience designing and orchestrating enterprise data pipelines

  • Strong understanding of data quality, scalability and performance optimization

Sales Incentive Compensation Experience

  • Functional and technical experience with Sales Incentive Compensation processes

  • Understanding of incentive-plan design and compensation rules

  • Experience supporting quota allocation and management

  • Knowledge of sales-attainment calculations

  • Experience with commission calculation and payout processing

  • Ability to model complex incentive rules within data pipelines and transformation logic

  • Experience partnering with Sales Operations and Finance stakeholders

Cloud and Integration Experience

  • Experience integrating Databricks with at least one major cloud platform:

    • Microsoft Azure

    • Amazon Web Services

    • Google Cloud Platform

  • Experience working with integration and ingestion technologies such as:

    • Azure Data Factory

    • Azure Event Hubs

    • Apache Kafka

    • Comparable cloud-based data-integration tools

  • Ability to create holistic, end-to-end data solutions rather than isolated pipelines

Professional Capabilities

  • Strong stakeholder-management and consulting skills

  • Ability to translate complex business requirements into scalable data architectures

  • Excellent analytical and problem-solving capabilities

  • Strong written and verbal communication skills

  • Ability to work effectively with cross-functional teams

  • Resourceful and comfortable working with minimal direction

  • Strong technical-documentation skills

  • Ability to manage competing priorities and deadlines

  • Bachelor’s degree in Computer Science, Data Engineering, Information Technology or a related discipline

Preferred Experience

  • Experience integrating Databricks with platforms such as:

    • Anaplan

    • Oracle Incentive Compensation

    • Varicent

    • Comparable Sales Performance Management platforms

  • Databricks Certified Data Engineer Associate certification

  • Databricks Certified Data Engineer Professional certification

  • Experience using Photon to improve query and workload performance

  • Previous experience within insurance, financial services or another large regulated enterprise

  • Experience delivering auditable financial or compensation-related data solutions

The Ideal Candidate

The ideal candidate will be an experienced Databricks engineer who understands that compensation data requires exceptional accuracy, traceability and control.

You will be comfortable moving between detailed technical development and strategic conversations with Finance, Sales Operations and technology leaders. You should be willing to challenge requirements constructively, propose stronger architectural solutions and take ownership of delivery from initial design through testing, deployment and production support.

Most importantly, you will be able to combine enterprise data-engineering expertise with a practical understanding of how incentive plans, quotas, attainment calculations, commissions and payouts operate.

Contract Details

  • Initial Contract: Six months

  • Hourly Rate: Approximately $75 per hour

  • Location: New York, New York

  • Working Arrangement: Hybrid

  • Visa Sponsorship: Not available

  • Relocation Assistance: Not available

Ready to Build Business-Critical Data Solutions?

If you have deep Databricks expertise and experience translating complex Sales Incentive Compensation processes into scalable, accurate and auditable data solutions, this position offers the opportunity to make an immediate impact within a major enterprise environment.

 

HRIS Technology Consultant (Workday) – Remote (U.S.)

HRIS Technology Consultant (Workday) – Remote

📍 Location: Fully Remote (U.S.)
💼 Employment Type: Full-Time
✈️ Travel: Occasional
🚫 Visa Sponsorship: Not Available
🚚 Relocation Assistance: Possible for Exceptional Candidates

Overview

A leading financial services organization is seeking an experienced HRIS Technology Consultant to support, optimize, and enhance its cloud-based HR technology environment, with a strong focus on Workday.

This role will serve as a key HRIS subject matter expert, partnering with HR, IT, business leaders, and functional stakeholders to improve system performance, streamline processes, enhance employee experience, and support enterprise-wide initiatives.

Key Responsibilities

Workday Administration & Configuration

  • Provide ongoing support, maintenance, configuration, and optimization of Workday.

  • Gather requirements, configure solutions, perform testing, and migrate changes into production.

  • Support system enhancements, upgrades, and new feature implementations.

  • Review and test vendor releases and recommend adoption of new functionality.

HRIS Consulting & Business Partnership

  • Partner with HR leaders, SMEs, and business stakeholders to improve business processes and system functionality.

  • Advise on security configuration, reporting, integrations, and workflow optimization.

  • Serve as the HRIS lead on enterprise-wide initiatives, including acquisitions, integrations, and transformation projects.

Reporting, Security & Governance

  • Develop and maintain reports, dashboards, and analytics.

  • Ensure HRIS data integrity, governance, and security compliance.

  • Collaborate with IT regarding integrations and downstream system impacts.

  • Maintain documentation and end-user training materials.

Continuous Improvement

  • Identify automation opportunities and process improvements.

  • Develop HR technology roadmaps aligned to business objectives.

  • Monitor industry trends and emerging HR technology capabilities.

  • Mentor and support less experienced team members.

Required Qualifications

Education

  • Bachelor’s Degree in:

    • Information Systems

    • Human Resources

    • Business

    • Related field

  • Equivalent experience may be considered.

Experience

  • 7+ years of HRIS consulting or HR systems experience.

  • Strong Workday experience required.

  • Experience supporting multiple HR functional areas within Workday.

Functional Expertise

Candidates should be proficient in 7 or more of the following areas:

  • HCM

  • Staffing & Organizations

  • Worker Data

  • Time Off & Leave

  • Onboarding

  • Benefits

  • Compensation

  • Talent Management

  • Performance Management

  • Recruiting

  • Payroll

  • Security

  • Integrations

  • Reporting

Technical Skills

✔ Workday Configuration & Administration

✔ HRIS Process Design

✔ Business Process Modeling

✔ Security Configuration

✔ Reporting & Analytics

✔ Integrations

✔ Advanced Microsoft Excel

✔ Agile Project Methodologies

✔ Cloud-Based HR Systems

Ideal Candidate

The ideal candidate is a highly experienced Workday professional with a strong consulting mindset and broad HRIS functional expertise.

They will possess:

  • Deep Workday configuration experience

  • Strong analytical and problem-solving abilities

  • Experience supporting multiple HR functions and stakeholders

  • Expertise across several Workday modules

  • Ability to translate business requirements into scalable HR technology solutions

  • Strong communication and stakeholder management skills

Candidate Snapshot

Requirement

Details

Experience

7–10+ Years

Seniority

Associate / Senior Individual Contributor

Education

Bachelor's Degree

HRIS Platform

Workday

Functional Expertise

7+ HRIS Modules

Industry

Financial Services Preferred

Travel

Occasional

Remote

Fully Remote

Sponsorship

Not Available

Key Screening Questions

  1. Do you have 7+ years of HRIS consulting experience?

  2. What Workday modules have you supported and configured?

  3. Are you proficient in at least 7 HRIS functional areas (HCM, Recruiting, Benefits, Payroll, Security, Reporting, Integrations, etc.)?

  4. Have you led Workday implementations, enhancements, or major configuration projects?

  5. Do you have experience with HRIS security, reporting, and integrations?

  6. Have you worked in a highly regulated or enterprise-scale environment?

  7. Are you comfortable serving as the primary HRIS SME for business stakeholders?

Why Consider This Opportunity?

  • Fully remote position.

  • Opportunity to own and influence Workday strategy and optimization.

  • Exposure to enterprise-wide HR technology initiatives.

  • Strong partnership with HR leadership and business stakeholders.

  • Broad scope across multiple Workday modules and business functions.

  • Opportunity to drive automation, employee experience improvements, and digital transformation initiatives.

 

Your new job awaits.

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