Finance Data Engineer
About the position Replit is seeking a Finance Data Engineer to own the data infrastructure that powers our financial operations and strategic decision-making. In this role, you'll spend the majority of your time building and maintaining robust data pipelines, ensuring data integrity, and creating scalable analytics infrastructure for the Finance organization. You'll work at the intersection of data engineering and finance, requiring strong technical expertise in data systems, deep knowledge of financial data architecture, and a solid understanding of key finance metrics. While analysis and insights generation represent a smaller portion of this role, your engineering work will be the foundation that enables data-driven decision-making across the organization.
Responsibilities
- Contribute to critical projects across data infrastructure & pipeline development as well as business intelligence.
- 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). Nice-to-haves
- Experience with cloud-based data storage platforms (bolthires Cloud, AWS, CloudFlare) is a plus.
- Proficient in Excel and bolthires Sheets for data manipulation and analysis.
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
- Autonomous Work Environment
- In Office Set-Up Reimbursement
- Flexible Time Off (FTO) + Holidays
- Quarterly Team Gatherings
- In Office Amenities Apply tot his job
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