overflow - Data Engineer
Requirements
• Core Experience: 5+ years of Data Engineering experience, ideally acting as the first or lead Data Engineer at a fast-growing tech, fintech, or SaaS company. • Data Modeling: Proven ability to design efficient OLAP schemas for complex financial transactions and business metrics. • Cloud & Pipeline Skills: Strong proficiency with AWS data services and building reliable Change Data Capture pipelines. • Database Knowledge: Strong familiarity with NoSQL databases and a deep understanding of relational SQL databases. • Cross-Functional Communication: 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. • IT'D BE NICE IF YOU HAD • Databricks Expertise: Hands-on experience working specifically within a Databricks environment, including leveraging Unity Catalog for governance, Delta Lake, and native Databricks SQL/BI tools. • Fintech Knowledge: An understanding of the fintech ecosystem, particularly handling transactional data, ledgering, and reconciliation and working in SOC 2 aligned environments • Startup DNA: 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
• If you're energized by building from scratch, comfortable with ambiguity, and want your work to directly power a mission-driven company at an inflection point — this is the role for you. • Data Infrastructure & Pipeline Development • 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 • Data Modeling & Analytics Enablement • 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 • Data Quality, Governance & Reliability • 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. • Cross-Functional Partnership • 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
Benefits
• Overflow's compensation philosophy is rooted in Carta Total Compensation benchmarks, ensuring pay that is competitive by role, geography, and function. Actual compensation may vary based on factors including job-related skills, experience, interview performance, and market data. • Total compensation may also include equity, performance-based bonuses (for eligible roles), and a comprehensive benefits package. As a Series B company, we believe equity is a meaningful part of building long-term ownership — when Overflow wins, our team should share in that upside. • Overflow offers a thoughtful benefits package designed to support your well-being, growth, and life outside of work, including: • 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
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