Replit is seeking a Finance Data Engineer to own the data infrastructure that powers financial operations and strategic decision-making, requiring strong technical expertise in data systems and deep knowledge of financial data architecture.
Requirements
- 5+ years of experience as a Data Engineer, Analytics Engineer, or similar role, preferably in SaaS or high-growth tech companies
- 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)
- Experience with cloud-based data storage platforms (Google Cloud, AWS, CloudFlare) is a plus
Responsibilities
- Design, build, and maintain robust ETL/ELT pipelines that ingest data from multiple sources including Stripe, Orb, CRMs/ERPs, and internal databases
- 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
- 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
Other
- Bachelor's degree in Computer Science, Data Science, Engineering, Statistics, or related quantitative field
- Full-Time Employee Benefits Include: Competitive Salary & Equity, 401(k) Program, Health, Dental, Vision and Life Insurance
- Paid Parental, Medical, Caregiver Leave, Commuter Benefits, Monthly Wellness Stipend, Autonomous Work Environment
- In Office Set-Up Reimbursement, Flexible Time Off (FTO) + Holidays, Quarterly Team Gatherings, In Office Amenities
- Hybrid role has an in-office requirement of Monday, Wednesday, and Friday
