Hybrid Finance Data Engineer

at Replit

• Job title: Finance Data Engineer
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: $180,000 - $225,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Airflow, ETL, SQL
• Location requirements: Hybrid, Foster City, United States

About the role

• Finance Data Engineer responsible for the data infrastructure of financial operations at Replit. Building data pipelines and analytics to enable data-driven decision making.

Responsibilities

• Design, build, and maintain robust ETL/ELT pipelines that ingest data from multiple sources including Stripe, Orb, CRMs/ERPs, and internal databases
• Partner with Engineering and Accounting teams to establish data requirements, ensure accurate financial data capture, and implement revenue recognition logic
• Build and optimize data models in dbt that enable self-service analytics across Finance and cross-functional teams
• Conduct root cause analysis on data discrepancies, validate data sources, and cross-check metrics across systems to ensure accuracy
• Implement automated data orchestration frameworks to streamline data workflows and reduce manual intervention
• Establish data quality frameworks including validation checks, alerting systems, and anomaly detection to proactively identify and resolve data issues
• Create comprehensive technical documentation to improve data literacy and enable teams to leverage data independently
• Stay current on data engineering best practices and emerging technologies to continuously enhance our data infrastructure
• Develop and maintain interactive dashboards and reports using BI tools (BitQuery, Hex, Hashboard, Looker, Power BI) that provide real-time visibility into key financial metrics
• Perform ad-hoc analysis and provide support for key business initiatives and decision-making processes

Requirements

• 5+ years of experience as a Data Engineer, Analytics Engineer, or similar role, preferably in SaaS or high-growth tech companies
• Bachelor's degree in Computer Science, Data Science, Engineering, Statistics, or related quantitative field
• Strong understanding of data modeling, data warehousing, and ETL processes
• Experience with data orchestration & transformation tools (dbt, Fivetran, Airflow, Dagster)
• Expert-level SQL proficiency with demonstrated experience writing and optimizing complex queries for large-scale datasets
• Experience with BI tools (e.g., BitQuery, Hex, Hashboard, Looker, Power BI) for data visualization and reporting
• Experience working with some Finance data sets and metrics (i.e. Stripe, Orb, ARR, Churn, Unit Economics)

Benefits

• Competitive Salary & Equity
• 401(k) Program
• Health, Dental, Vision and Life Insurance
• Short Term and Long Term Disability
• Paid Parental, Medical, Caregiver Leave
• Commuter Benefits
• Monthly Wellness Stipend
• Autonoumous Work Environement
• In Office Set-Up Reimbursement
• Flexible Time Off (FTO) + Holidays
• Quarterly Team Gatherings
• In Office Amenities