Senior Data Engineer

Job not on LinkedIn

🕒 June 28

🏈 Alabama, California – Remote

🏈 Alabama – Remote 🏄 California – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 28%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Overflow

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

⚖️ Legal

💳 Fintech

💰 $10M Series A on 2021-07

Consulting • Legal • Fintech

Overflow is on a mission to inspire the world to give by helping nonprofits easily and securely accept stock and cryptocurrency donations. The company focuses on providing a streamlined process for charitable donations, catering specifically to the nonprofit sector.

📋 Description

• Architect, build, and own Overflow's core data infrastructure, including pipelines, warehouses, data models, and orchestration • Design and implement scalable ETL/ELT pipelines across Overflow's platform and business functions • Build and maintain a unified data layer integrating Engineering, Product, Finance, Revenue, Success, and Operations data • Design intuitive data models for self-service analytics and OLAP views in customer-facing applications • Build and maintain dashboards and reporting infrastructure for key business metrics • Partner with the Head of AI on storage schemas and organization strategies for semi-structured and unstructured data • Support advanced MLOps, RAG pipelines, and agent memory through clean data structures • Implement Databricks Unity Catalog for data governance, documentation, access controls, and role-based visibility • Implement data quality monitoring, alerting, and validation frameworks • Collaborate with Engineering, Product, Finance, Payment Ops, Support, and RevOps • Educate teams on data best practices and help them ask better questions of the data • Surface data-driven insights about customer behavior, platform performance, and market opportunity

🎯 Requirements

• 5+ years of Data Engineering experience • Experience 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 • Experience building reliable Change Data Capture pipelines • Strong familiarity with NoSQL databases • Deep understanding of relational SQL databases • Ability to translate complex business requirements from Finance and Sales into technical data models • Ability to collaborate with MLOps, Business Operations, and Software Engineering teams • Hands-on Databricks experience, including Unity Catalog, Delta Lake, and native Databricks SQL/BI tools preferred • Understanding of fintech, transactional data, ledgering, reconciliation, and SOC 2 aligned environments preferred • Previous experience as a founding data engineer or early data team member at a high-growth startup preferred • Must not require visa sponsorship to work in the United States

🏖️ Benefits

• 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 • Equity eligibility • Performance-based bonuses for eligible roles