Data Engineer

Overflow

10d•Hybrid

About The Position

We are looking for our first dedicated Data Engineer to lay the foundation of our data and analytics ecosystem. You will be the primary architect and builder of our data infrastructure, taking ownership of a rapidly expanding ecosystem of data. In your first 90 days, your primary mission will be to establish a robust BI and Data Governance layer ensuring our Sales, CS, Finance, and Success teams have reliable, governed access to the precise metrics they need. Beyond the immediate BI needs, you will design the storage and OLAP architecture for our financial transactions and partner closely with our Head of AI to organize agentic conversational data for our next-generation AI workflows. You won't be building this in a vacuum—you will collaborate daily with our Software Engineering team to support the customer facing products and our Business Operations engineers to support our internal tools. If you're energized by building from scratch, comfortable with with ambiguity, and want your work to directly power a mission-driven company at an inflection point — this is the role for you.

Requirements

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.

Nice To Haves

Hands-on experience working specifically within a Databricks environment, including leveraging Unity Catalog for governance, Delta Lake, and native Databricks SQL/BI tools.
An understanding of the fintech ecosystem, particularly handling transactional data, ledgering, and reconciliation and working in SOC 2 aligned environments
Previous experience as a founding data engineer or early data team member at a high-growth startup. You thrive in ambiguity and love the 0-to-1 journey of building infrastructure from scratch.

Responsibilities

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