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About the role:

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.

You will:

You'll contribute to critical projects across data infrastructure & pipeline development as well as business intelligence.

Data Engineering & Infrastructure

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

Business Analysis & Insights

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

Required Skills and Experience:

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 Have’s:

Experience with cloud-based data storage platforms (Google Cloud, AWS, CloudFlare) is a plus
Proficient in Excel and Google Sheets for data manipulation and analysis

Full-Time Employee Benefits Include:

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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To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

This is a full-time role that can be held from our Foster City, CA office. The hybrid role has an in-office requirement of Monday, Wednesday, and Friday.

Compensation Range: $180K - $225K

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