Data engineer iv

Description and Requirements

Work Location: Hybrid (Atlanta, GA)

Position Type: Contract, 6 months (potential for extension)

Location: Atlanta, GA, USA

Compensation Range: $99-104 per hour USD

Our Fortune 500 client is seeking a Data Engineer IV. 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'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

• Funnel & Driver Modeling
  • Build and maintain bottoms-up, driver-based funnel models (Inputs → SQL → SQO →Wins) covering New and Expansion motion across SMB/EMM channel
  • 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
• Rhythm of Business Support
  • Support the weekly/monthly/quarterly planning and business review cadence — prepping data, building materials, and tracking follow-through on decisions and action items
  • Help maintain planning data integrity in Anaplan and other planning systems, including hierarchy and assumption updates across planning passes
  • Flag data quality issues, broken pipelines, or reporting gaps proactively, before they surface in a leadership review

Requirement:

• 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

All interested applicants who meet the qualifications listed above are invited to submit a resume by clicking "Apply Now". The indicated pay range for this position is a good‑faith estimate based on the qualifications necessary for the position, including experience, training, and other considerations permitted by law. The pay band is established by the client company. Factors that may influence an offer include a candidate’s skills, experience, geographic location, and expected work quality and quantity. Most candidates will start in the lower half of the pay range, with the upper end reserved for those with extensive experience and skills or who live in higher‑pay markets. An employee’s pay history will not be considered where prohibited by law. This information is subject to change and serves as a general guideline for compensation discussions. Actual offers may vary based on specific circumstances and company policies.