Data Engineer IV

Data Engineer IVOur client, a Fintech Company, is seeking a Data Engineer IV. Job Title: Data Engineer IV Location: Atlanta, GA – Hybrid, 3 days onsite Contract: 6 Months, extendable Rate Range: $100 - $106/hr on W2 DOE Description: SMB and Emerging Mid-Market (EMM) are core growth engines for tax product, spanning Care Dedicated Sales, Allbound Inbound/Outbound, EMM, and Supplies. As the business scales, we're 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:Build and maintain bottoms-up, driver-based funnel models (Inputs ? SQL ? SQO ? Wins) covering New and Expansion motion across SMB/EMM channelsSupport 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 levelWrite and maintain SQL against the sales data warehouse (pydatalake/Databricks) to pull, validate, and reconcile booking, pipeline, and forecast data from source tablesOwn or co-own recurring reporting (weekly review packs, data packs, dashboards) that leadership and Finance use to track plan vs. actualInvestigate variance between plan and actuals, identify root cause, and package findings into clear, actionable summaries — not just raw numbersReconcile figures across planning artifacts (allocation sheets, channel targets, funnel models) into one tied-out numberSupport the weekly/monthly/quarterly planning and business review cadence — prepping data, building materials, and tracking follow-through on decisions and action itemsHelp maintain planning data integrity in Anaplan and other planning systems, including hierarchy and assumption updates across planning passesFlag data quality issues, broken pipelines, or reporting gaps proactively, before they surface in a leadership reviewRequired:5+ years in sales/business/revenue operations, FP&A, business analytics, or a related analytical role, ideally at a SaaS or technology companyAI-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 useStrong SQL skills — comfortable writing and troubleshooting queries against a data warehouse (e.g., Databricks, Snowflake, or similar) independentlyAdvanced Excel/Google Sheets modeling skills; able to build and audit a driver-based model, not just fill one inExperience with a BI tool (Tableau, Power BI, or similar) for dashboarding and reportingStrong attention to detail and data integrity — comfortable being the person whose numbers get trusted without a re-checkClear, structured communication — able to turn a data pull or model output into a summary a business stakeholder can act onSound 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 dataPreferred:Familiarity with Anaplan or another enterprise planning platformExposure 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