Data Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Architect, develop, and take ownership of Overflow's fundamental data infrastructure from the ground up — including pipelines, warehouses, data models, and orchestration.

• Design and implement scalable ETL/ELT pipelines that gather, transform, and provide clean, reliable data throughout Overflow's platform and business functions.

• Construct and maintain a unified data layer that integrates information across Engineering, Product, Finance, Revenue, Success, and Operations.

• Create well-structured, intuitive data models that enable self-service analytics across the organization and support OLAP views in customer-facing applications.

• Develop and sustain dashboards and reporting infrastructure that offers leadership real-time insights into crucial business metrics — total giving volume, client sentiment, payment revenue.

• Collaborate with the Head of AI to design storage schemas and organization strategies for semi-structured and unstructured data, ensuring the clean structures necessary for advanced MLOps, RAG pipelines, and agent memory.

• Implement Databricks Unity Catalog to enforce stringent data governance, documentation standards, access controls, and role-based visibility throughout the organization.

• Build for reliability by establishing data quality monitoring, alerting, and validation frameworks to guarantee data accuracy and trustworthiness.

• Work closely with Engineering, Product, Finance, Payment Ops, Support, and RevOps to comprehend data requirements and deliver scalable solutions.

• Serve as the internal expert and advocate for data — educating teams on best practices and assisting them in formulating better questions regarding the data.

• Contribute to the product roadmap by highlighting data-driven insights concerning customer behavior, platform performance, and market opportunities.

⛳️ Requirements

• Over 5 years of Data Engineering experience, preferably having served as the first or lead Data Engineer in a rapidly growing tech, fintech, or SaaS company.

• Demonstrated ability to design efficient OLAP schemas tailored for complex financial transactions and business metrics.

• Strong expertise with AWS data services and developing reliable Change Data Capture pipelines.

• Solid familiarity with NoSQL databases and a profound understanding of relational SQL databases.

• Capability to translate intricate business requirements from Finance and Sales into technical data models, along with collaborative skills to work effectively with MLOps, Business Operations, and Software Engineering teams.

🏝️ Benefits

• Competitive base salary with equity eligibility.

• Medical, dental, and vision coverage for employees and their 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.