Data Engineer

Overflow

Data Engineer responsible for establishing data infrastructure and supporting analytics at fintech company Overflow. Collaborating with various teams to ensure reliable access to metrics and data governance.

Posted 6/28/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AWSETLNoSQLSQLUnity

About the role

Key responsibilities & impact

Architect, build, and own Overflow's core data infrastructure from the ground up — pipelines, warehouses, data models, and orchestration
Design and implement scalable ETL/ELT pipelines that collect, transform, and deliver clean, reliable data across Overflow's platform and business functions
Build and maintain a unified data layer that integrates data across Engineering, Product, Finance, Revenue, Success, and Operations
Design well-structured, intuitive data models that empower self-service analytics across the company and power OLAP views in customer facing applications
Build and maintain dashboards and reporting infrastructure that give leadership real-time visibility into key business metrics — total giving volume, client sentiment, payment revenue
Partner with the Head of AI to design storage schemas and organization strategies for semi-structured and unstructured data, providing the clean structures required to power advanced MLOps, RAG pipelines, and agent memory
Implement Databricks Unity Catalog to establish strict data governance, documentation standards, access controls, and role-based visibility across the organization.
Build for reliability by implementing data quality monitoring, alerting, and validation frameworks to ensure data accuracy and trustworthiness.
Collaborate closely with Engineering, Product, Finance, Payment Ops, Support, and RevOps to understand data needs and deliver scalable solutions
Act as the internal expert and advocate for data — educating teams on best practices and helping them ask better questions of the data
Contribute to the product roadmap by surfacing data-driven insights about customer behavior, platform performance, and market opportunity

Requirements

What you’ll need

5+ years of Data Engineering experience, ideally acting as the first or lead Data Engineer at a fast-growing tech, fintech, or SaaS company.
Proven ability to design efficient OLAP schemas for complex financial transactions and business metrics.
Strong proficiency with AWS data services and building reliable Change Data Capture pipelines.
Strong familiarity with NoSQL databases and a deep understanding of relational SQL databases.
The ability to translate complex business requirements from Finance and Sales into technical data models, and the collaborative skills to work seamlessly with MLOps, Business Operations, and Software Engineering teams.

Benefits

Comp & perks

Competitive base salary with equity eligibility
Medical, dental, and vision coverage for employees and dependents
Generous paid time off and company holidays
Paid parental leave
401(k) retirement plan
Dedicated mental health and therapy stipend to support personal well-being
Team retreats and intentional in-person gatherings throughout the year

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

ETL/ELT Pipeline DevelopmentData ModelingData Quality MonitoringChange Data CaptureData Governance ImplementationData WarehousingData OrchestrationMLOps IntegrationDashboard DevelopmentReporting Infrastructure

Soft Skills

CollaborationCommunicationProblem-SolvingAdvocacy for Data Best Practices