Senior Data Engineer focusing on data infrastructure for an AI - driven insurtech startup based in Nepal. Collaborating with teams to optimize data models and maintain data quality.
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
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