Data Engineer IV

Our client, a Fintech Company, is seeking a “Data Engineer IV”.

Apply Now for consideration!!

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:

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

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

Required:

• 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

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