Data Engineer IV

A client with Kforce is seeking a Data Engineer IV to join their team in Engineer IV. Overview: SMB and Emerging Mid-Market (EMM) are core growth engines for QuickBooks, spanning Care Dedicated Sales, Allbound Inbound/Outbound, EMM, and Supplies - with QuickBooks Online Advanced as a flagship growth line inside that portfolio. As the business scales, we are turning a reactive, run-the-business reporting function into a forward-looking planning engine, and this role is the analytical backbone behind that effort - building and maintaining funnel-driver models, reconciling data across systems, and doing the hands-on SQL and modeling work that turns raw booking and pipeline data into a plan leadership can trust. Responsibilities: Funnel & Driver Modeling:

• Build and maintain bottoms-up, driver-based funnel models (Inputs; SQL; SQO; Wins) covering New and Expansion motion across SMB/EMM channels
• Support the build-out of a lever-driven planning model where volume, conversion rate, and ARPC assumptions can be flexed and scenario-tested (e.g., input volume scenarios, initiative upside cases)
• Maintain conversion rate and unit economics tracking (Start; SQL, SQL; Win, Start; Win CVR; Units; ARPC/AOV; ARR) at the channel and segment level

Data Analysis & Reporting:

• Write and maintain SQL against the sales data warehouse (pydatalake/Databricks) to pull, validate, and reconcile booking, pipeline, and forecast data from source tables
• Own or co-own recurring reporting (weekly review packs, data packs, dashboards) that leadership and Finance use to track plan vs. actual
• Investigate variance between plan and actuals, identify root cause, and package findings into clear, actionable summaries - not just raw numbers
• Reconcile figures across planning artifacts (allocation sheets, channel targets, funnel models) into one tied-out number

Requirements:

• 5+ years in sales/business/revenue operations, FP&A, business analytics, or a related analytical role, ideally at a SaaS or technology company
• AI-native - fluent working with Claude (e.g., Claude Code, Cowork, or similar) as a daily tool for data analysis, modeling, and workflow automation, not just occasional chat use
• Strong SQL skills - comfortable writing and troubleshooting queries against a data warehouse (e.g., Databricks, Snowflake, or similar) independently
• Advanced Excel/Google Sheets modeling skills; Able to build and audit a driver-based model, not just fill one in
• Experience with a BI tool (Tableau, Power BI, or similar) for dashboarding and reporting
• Strong attention to detail and data integrity - comfortable being the person whose numbers get trusted without a re-check
• Clear, structured communication - able to turn a data pull or model output into a summary a business stakeholder can act on
• Sound business judgment - able to translate a sales or planning question into the right analysis, sanity-check outputs against business reality, and stay effective amid evolving priorities and imperfect data

Preferred:

• Familiarity with Anaplan or another enterprise planning platform
• Exposure to sales funnel and B2B SaaS metrics (pipeline, conversion rates, ARR, unit economics)
• Experience supporting a recurring business review cadence (WBR/MBR/QBR) - prepping data and materials against a deadline