Sr. Software Engineer - Big Data, Data Lake

**Who We Are** Headquartered in Oregon, Foureyes® is a remote\-first company with 90 employees in 21 states. We are privately owned and focused on the automotive vertical. We believe human intellect paired with data\-driven AI is the winning combination. It always has been. And we're on a mission to bring that winning combination to automotive dealerships with easy\-to\-love software. We're a software company that thinks about people first. With every innovation, we seek to put humans back in the starring role. If this sounds like the kind of company you want to be a part of, there’s good news. We’re hiring for aSr. Software Engineer (Big Data, Data Lake). **The Position** We are seeking a senior engineer to help design and implement the core data platform powering our next\-generation product architecture. This role will focus on building scalable data ingestion, transformation, and integration across multiple internal and external data sources, using AWS\-native services. You will work closely with engineering leadership to establish a robust data lake and transformation layer that supports our APIs, microservices, and downstream analytics. The ideal candidate is comfortable working at the intersection of data engineering and application integration. **Qualifications** **Key Professional Experience*** Strong leadership skills \- you are comfortable both leading software engineers and rolling up your sleeves to implement and deploy the best solution. * Strong cross\-functional collaboration with product, engineering, and analytics teams to ensure data availability, reliability, and performance. * Strong communication skills and experience translating business requirements into system design, architecture diagrams, and technical documentation. * Strong communication presenting complex concepts or solutions to diverse audiences through clear and concise written communication (e.g., report writing, email crafting) and effective verbal communication (e.g., presentations, stakeholder updates). * Strong problem solving skills and knowledge of applied algorithms to solve real world problems efficiently. * You have operated in a team’s on\-call rotation to address complex problems in real\-time and keep services operational and highly available. **Core technical skills required*** Strong hands\-on experience implementing and using AWS data services: S3, Glue (ETL/Jobs, Data Catalog, DataBrew), Athena, Lake Formation, Step Functions, Lambda, Kinesis Data Stream and API Gateway. * Expertise in designing and optimizing data pipelines for high\-volume, multi\-source ingestion of structured and semi\-structured data in a multi\-tenant data architecture. * Experience with entity resolution, data cleansing, data quality, and anomaly detection. * Expert level skills developing back\-end distributed systems and data pipelines using Python, SQL, Step Functions, Lambdas * Strong proficiency with TypeScript and Node.js for building backend services (R