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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.

 

Research Nurse Specialist | Clinical Research RN | New York, NY

Research Nurse Specialist

📍 Location: New York, NY (100% Onsite)
💼 Employment Type: Full-Time
🚫 Visa Sponsorship: Not Available
🚚 Relocation Assistance: None
💰 Compensation: $108,972 – $125,388 Base Salary

Overview

A leading academic medical center is seeking a Research Nurse Specialist to support clinical research studies by coordinating patient care, ensuring protocol compliance, and serving as a key liaison between patients, investigators, sponsors, and regulatory bodies.

This role combines direct patient care with clinical research coordination and offers the opportunity to contribute to groundbreaking medical research while ensuring patient safety and regulatory compliance.

Key Responsibilities

Clinical Research Coordination

  • Coordinate patient participation in clinical research studies.

  • Assess patient eligibility for research protocols.

  • Review medical histories, laboratory results, and baseline clinical data.

  • Coordinate required diagnostic testing and imaging.

Patient Care

  • Provide direct nursing care to patients participating in research studies.

  • Monitor patients throughout study participation.

  • Assess and manage adverse events and treatment-related complications.

  • Coordinate follow-up visits and ongoing patient monitoring.

Regulatory & Protocol Compliance

  • Educate patients regarding informed consent and study participation.

  • Ensure strict adherence to research protocols and study requirements.

  • Coordinate required follow-up procedures and protocol-specific assessments.

  • Maintain accurate research documentation and patient records.

Clinical Trial Operations

  • Monitor investigational medications according to study protocols.

  • Perform or coordinate pharmacokinetic studies where required.

  • Process, store, and ship laboratory specimens.

  • Maintain communication with sponsors, investigators, and Institutional Review Boards (IRBs).

Education & Collaboration

  • Educate nursing staff regarding clinical research protocols.

  • Assist with development of educational materials and clinical policies.

  • Participate in continuing education and remain current with advances in research nursing and clinical treatments.

  • Collaborate closely with physicians, research teams, laboratory staff, and study sponsors.

Required Qualifications

  • Bachelor's Degree in Nursing (BSN)

  • Current New York State Registered Nurse (RN) License

  • Approximately 2 years of clinical nursing experience

  • Strong patient assessment and clinical decision-making skills

  • Excellent communication and organizational abilities

  • Ability to manage multiple studies and priorities simultaneously

Preferred Experience

Candidates with experience in any of the following are highly desirable:

  • Clinical Research Nursing

  • Clinical Trials

  • Oncology Research

  • Academic Medical Centers

  • Investigational Drug Studies

  • IRB submissions and regulatory documentation

  • Research protocol management

Ideal Candidate

The ideal candidate will possess:

  • Strong clinical nursing foundation

  • Interest in clinical research and evidence-based medicine

  • Experience coordinating patient care within research studies

  • Excellent organizational and documentation skills

  • Ability to educate patients regarding complex research protocols

  • Strong collaboration skills with physicians, sponsors, and multidisciplinary teams

  • Ability to manage regulatory requirements while maintaining exceptional patient care

Target Candidate Backgrounds

Ideal candidates may come from:

  • Academic Medical Centers

  • Cancer Centers

  • Research Hospitals

  • University Hospitals

  • Large Teaching Hospitals

  • Clinical Research Organizations (CROs)

Screening Questions

  1. Do you hold a Bachelor's Degree in Nursing (BSN)?

  2. Do you hold a current New York State Registered Nurse (RN) license?

  3. How many years of clinical nursing experience do you have?

  4. Do you have experience supporting clinical research studies or clinical trials?

  5. Have you obtained informed consent and coordinated patients through research protocols?

  6. Have you worked with IRBs, study sponsors, or investigational drug protocols?

  7. Do you have experience monitoring patients for adverse events and protocol compliance?

Interview Process

  1. Initial Zoom interview with the Research Nurse Manager.

Why Join?

This is an opportunity to join one of the nation's premier academic medical centers where you'll contribute to cutting-edge clinical research while delivering exceptional patient care. You'll work alongside leading physicians and researchers, support innovative clinical trials, and play a key role in advancing medical science within a collaborative, mission-driven environment.

Benefits

  • Medical Insurance

  • Dental Insurance

  • Vision Insurance

  • Life Insurance

  • Retirement Plan

  • Paid Time Off

  • Comprehensive Employee Benefits Package

 

CTO Co-Founder – Healthcare Payments AI Startup – New York, NY

CTO Co-Founder – Healthcare Payments AI Startup

📍 Location: New York, NY (Onsite)
💼 Employment Type: Full-Time
🚫 Visa Sponsorship: Not Available
🚚 Relocation Assistance: Not Available
💰 Compensation: $150,000 Base + 15–20% Equity

Overview

A funded early-stage healthcare AI startup is seeking a hands-on CTO Co-Founder to lead technology strategy, product development, architecture, and engineering execution.

The company is building an AI-powered platform focused on transforming healthcare payments, claims processing, revenue cycle management, and financial workflow automation. This is a true 0-to-1 opportunity for a technical leader who wants to build both the product and the company from the ground up.

Key Responsibilities

Technology & Product Leadership

  • Own the technology vision, architecture, and engineering roadmap.

  • Build and launch the company’s initial MVP and commercial platform.

  • Evaluate and select the technology stack and infrastructure.

  • Design secure, scalable systems for healthcare payment and claims workflows.

AI & Workflow Automation

  • Build AI-driven workflow automation and operational intelligence capabilities.

  • Develop data ingestion, normalization, and decision-support solutions.

  • Implement automation for claims, reimbursement, reconciliation, and payment processes.

Engineering Leadership

  • Recruit, hire, and lead the founding engineering team.

  • Establish development standards, processes, and engineering culture.

  • Drive execution from concept through production deployment.

Strategic Collaboration

  • Work directly with the CEO, investors, advisors, and early customers.

  • Translate customer needs into scalable technical solutions.

  • Support fundraising, product strategy, and commercial growth initiatives.

Required Qualifications

Experience

✔ 0-to-1 Product Development Experience

✔ Hands-On Software Engineering & Architecture

✔ AI / ML & Workflow Automation

✔ Engineering Team Leadership

✔ Healthcare Payments, Revenue Cycle, FinTech, or Transaction-Based Systems Experience

✔ 10+ Years of Technical Experience

Education

  • Bachelor's Degree in Computer Science, Engineering, or related field.

  • Graduate of a top-tier university strongly preferred.

Preferred Backgrounds

  • Healthcare Technology

  • Revenue Cycle Management (RCM)

  • Claims Processing Platforms

  • Payments & FinTech

  • AI Workflow Automation

  • Enterprise SaaS

  • Data Infrastructure

  • Healthcare Interoperability

Ideal Candidate

The ideal candidate is a builder-first technical leader who has:

  • Personally built and launched software products from MVP to production.

  • Experience operating in startups or high-growth environments.

  • Strong software architecture and coding skills.

  • Experience developing AI-powered products or automation platforms.

  • Knowledge of healthcare payments, claims, revenue cycle, or other regulated transaction-heavy industries.

  • Experience recruiting and leading engineering teams.

  • Ability to communicate effectively with customers, executives, and investors.

Healthcare payments experience is highly desirable but candidates from fintech, enterprise workflow automation, or regulated data-intensive industries will also be considered.

Candidate Snapshot

Requirement

Details

Level

CTO / Co-Founder

Experience

10+ Years

Location

New York, NY (Onsite)

Industry

Healthcare AI / FinTech

Education

Bachelor's Degree Required

Equity

15–20%

Relocation

No

Sponsorship

No

Screening Questions

  1. Have you personally built and launched a software product from MVP to production?

  2. Describe your experience leading 0-to-1 product development initiatives.

  3. What AI, machine learning, or workflow automation products have you built?

  4. Do you have experience in healthcare payments, revenue cycle management, claims processing, or fintech?

  5. Have you recruited and led engineering teams in a startup or high-growth environment?

  6. What programming languages, frameworks, and cloud technologies have you used to build scalable products?

  7. Are you comfortable being a hands-on contributor while also leading the engineering organization?

  8. Are you able to work onsite in New York City?

What Makes Someone Successful in This Role?

  • Founder mentality and bias toward action.

  • Strong technical depth with hands-on coding capability.

  • Experience building products in regulated, transaction-heavy environments.

  • Ability to move quickly from concept to commercial product.

  • Strong communication skills with both technical and non-technical stakeholders.

  • Passion for using AI to solve complex operational challenges.

  • Desire to build and scale a company, not just a technology platform.

 

Senior Finance Solutions Specialist – Hybrid (Chicago, New York, Boston, Louisville, Phoenix, Urbandale or London)

Senior Finance Solutions Specialist

📍 Locations: Chicago, IL | New York, NY | Boston, MA | Louisville, KY | Phoenix, AZ | Urbandale, IA | London, UK
🏠 Work Arrangement: Hybrid (3 Days Office / 2 Days Remote)
💼 Employment Type: Full-Time
🚫 Visa Sponsorship: Not Available
🚚 Relocation Assistance: No
💰 Compensation: $131,000 – $200,000

Overview

A global professional services organization is seeking a Senior Finance Solutions Specialist to serve as the techno-functional lead for enterprise finance systems, helping drive the evolution, integration, and optimization of cloud-based ERP and Professional Services Automation (PSA) platforms.

This role is ideal for someone who can bridge the gap between finance, technology, and business stakeholders—combining deep functional knowledge of financial processes with strong technical and solution architecture capabilities.

Key Responsibilities

Finance Systems & Solution Design

  • Partner with Finance, Business, and Technology teams to gather requirements and define solutions.

  • Translate business needs into user stories, functional requirements, and acceptance criteria.

  • Design end-to-end ERP and PSA solutions.

  • Conduct fit-gap analysis and provide recommendations on functionality, risks, and implementation approaches.

ERP & PSA Administration

  • Serve as the subject matter expert for finance applications.

  • Manage system enhancements, configuration, optimization, and troubleshooting.

  • Support financial processes including:

    • Revenue Recognition

    • Billing & Invoicing

    • Time Entry

    • Work-in-Progress (WIP)

    • Backlog Reporting

    • Month-End Close

Integration & Technical Leadership

  • Define integration architecture and data flows.

  • Support API and system integrations.

  • Guide development teams and troubleshoot complex issues.

  • Ensure solution quality and scalability.

Stakeholder Management

  • Act as liaison between business users and technical teams.

  • Lead User Acceptance Testing (UAT) and change management initiatives.

  • Deliver training, documentation, and ongoing support.

  • Communicate effectively with both technical teams and senior leadership.

Required Qualifications

Education

  • Bachelor's Degree in:

    • Computer Science

    • Information Systems

    • Related Technical Field

Experience

  • 5+ years of ERP, finance systems, or finance technology experience.

  • Strong enterprise finance and accounting process knowledge.

  • Experience delivering solutions in Agile (Scrum/SAFe) environments.

  • Experience working directly with business leaders and senior stakeholders.

Required Functional Expertise

✔ Revenue Recognition

✔ Billing & Invoicing

✔ Work-in-Progress (WIP)

✔ Backlog Reporting

✔ Month-End Close

✔ Enterprise Finance / ERP Systems

✔ Business Process Analysis

✔ Solution Design

Strongly Preferred

Certinia (formerly FinancialForce)

  • 3–4+ years supporting:

    • Certinia ERP

    • Certinia PSA

    • Project Accounting

    • Resource Management

    • Financial Management

    • Time & Expense

    • Billing

    • Multi-Currency Environments

    • Project Economics

Note: Certinia is highly desired but not mandatory.

Candidates with strong experience in:

  • Salesforce Platform

  • ERP Implementations

  • Financial Systems

  • Revenue Recognition

  • Billing Solutions

  • Finance Transformation

will also be considered.

Technical Skills

✔ Salesforce Platform

✔ Enterprise ERP Systems

✔ Certinia / FinancialForce (Preferred)

✔ Jira

✔ ServiceNow

✔ Azure DevOps

✔ API & Data Integrations

✔ Agile Delivery Methodologies

✔ Solution Architecture

✔ UAT & Change Management

Ideal Candidate

The ideal candidate is a highly technical, hands-on finance systems expert who can both solve complex system problems and communicate effectively with executive stakeholders.

They will possess:

  • Strong finance ERP implementation experience.

  • Deep understanding of accounting processes and revenue recognition.

  • Ability to work independently and "get into the weeds" technically.

  • Strong troubleshooting and analytical skills.

  • Ability to explain technical concepts in business language.

  • Experience leading discussions with Finance leadership and C-suite stakeholders.

  • Strong techno-functional consulting background.

Candidate Profile

Requirement

Details

Experience

5+ Years

Seniority

Mid-Senior

Education

Bachelor's Degree

Work Arrangement

Hybrid

ERP Experience

Required

Revenue Recognition

Required

Billing & WIP

Required

Certinia

Strongly Preferred

Salesforce

Preferred

Sponsorship

Not Available

Screening Questions

  1. What ERP or finance systems have you implemented or supported?

  2. Describe your experience with revenue recognition, billing, WIP, and backlog reporting.

  3. Have you worked with Certinia (FinancialForce) ERP or PSA solutions?

  4. What role have you played in finance system implementations or transformations?

  5. Have you worked directly with senior business stakeholders or executives?

  6. What Agile methodologies and delivery tools have you used (Jira, ServiceNow, Azure DevOps, etc.)?

  7. Can you describe a complex finance systems issue you personally diagnosed and resolved?

What Makes Someone Successful in This Role?

  • Strong blend of technical and functional finance expertise.

  • Ability to lead discussions with both developers and executives.

  • Deep understanding of ERP systems and accounting processes.

  • Hands-on problem solver, not purely a project manager.

  • Comfortable designing solutions, troubleshooting issues, and driving adoption.

  • Able to translate business requirements into scalable technology solutions.

 

Risk & Governance Lead – AI & Data Governance | $150K–$165K | McLean, VA / Plano, TX / NYC (Hybrid)

Risk & Governance Lead – Investments & Capital Markets (AI & Data Governance)

📍 Location: Hybrid – 3 days onsite in McLean, VA, Plano, TX, or New York, NY
💼 Employment Type: Full-Time | Mid-Senior Level
💲 Salary Range: $150,000 – $165,000 USD (eligible for annual incentive program)
🎁 Benefits: Comprehensive total rewards package, health coverage, retirement plan, paid time off, and professional development opportunities
🚚 Relocation: Not available
🛂 Visa Sponsorship: Not available
✈️ Travel: None

Shape the Future of AI Risk & Data Governance

Are you passionate about safeguarding the responsible use of AI and ensuring the integrity of critical financial data? This is your opportunity to step into a high-impact leadership role at the intersection of risk management, data governance, and emerging technology.

As the Risk & Governance Lead for Investments & Capital Markets, you will champion data security and compliance for AI-driven models, working closely with senior leaders, technology teams, and compliance experts. Your mission: build a governance framework that balances innovation with regulatory rigor—ensuring AI and data assets are managed ethically, securely, and strategically.

Your Impact

  • Partner Across the Enterprise – Work with legal, technical, and business teams to identify model data risks and influence decision-making

  • Drive Risk Assessments – Evaluate and mitigate risks in divisional data management and AI initiatives

  • Develop & Enforce Policies – Shape governance standards for model data in line with industry regulations and best practices

  • Champion Ethical AI – Advocate for transparency, fairness, and accountability in AI model design and use

  • Enhance Security – Collaborate with InfoSec teams to address vulnerabilities in model data management

  • Ensure Compliance – Oversee adherence to AI and data governance policies, providing guidance and oversight

  • Build Awareness – Lead training programs on AI ethics, data management, and risk best practices

  • Measure What Matters – Create KPIs, KRIs, and reporting frameworks to track governance effectiveness

What You Bring

  • Bachelor’s degree (or equivalent experience)

  • 8+ years in relevant fields, including at least 6 years in operational risk management, compliance, or technology risk

  • Strong understanding of data management best practices and AI technologies (machine learning, NLP, large language models, computer vision)

  • Knowledge of regulations such as GDPR, CCPA, and industry standards (e.g., IEEE, NIST, ISO/IEC)

  • Proven ability to build and maintain cross-functional relationships

  • Exceptional communication skills—able to bridge technical and business audiences

Preferred:

  • 2–5 years of leadership experience

  • Experience with model risk management in financial services

  • Familiarity with housing finance or capital markets

Why This Role?

  • 💡 High-Impact Work – Influence AI governance across a major financial institution

  • 🌐 Cross-Functional Exposure – Collaborate with leaders across legal, compliance, risk, and technology

  • 📈 Career Development – Access to training, mentorship, and advancement opportunities

  • 🏦 Mission-Driven Organization – Be part of a team making housing more accessible and affordable nationwide

The Ideal Candidate

You’re a risk leader with a passion for AI governance, a deep understanding of data security frameworks, and the ability to balance compliance with innovation. You think strategically, act decisively, and know how to turn complex governance requirements into actionable, enterprise-wide practices.

 

Your new job awaits.

Start the process →