[Remote] Sr. Software Engineer - Big Data, Data Lake

Note: The job is a remote job and is open to candidates in USA. Foureyes is a remote-first company headquartered in Oregon, focused on the automotive vertical. They are hiring a Senior Software Engineer to design and implement a core data platform, focusing on scalable data ingestion, transformation, and integration using AWS-native services.

Responsibilities

• Help design and implement the core data platform powering our next-generation product architecture
• Focus on building scalable data ingestion, transformation, and integration across multiple internal and external data sources, using AWS-native services
• Work closely with engineering leadership to establish a robust data lake and transformation layer that supports our APIs, microservices, and downstream analytics

Skills

• 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
• 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 (REST/JSON APIs, async workflows, integration with AWS services)
• Comfort working with cloud data warehouses (Athena, Snowflake, Redshift, BigQuery, or similar)
• Experience building event-driven and notification systems (SNS/SQS, EventBridge, Pub/Sub, webhooks) and orchestration frameworks (StepFunctions or equivalent)
• Experience integrating AWS data pipelines with external platforms (e.g., Snowflake, Metabase, reporting tools, etc.)
• Hands on experience applying security best practices for data storage, transfer, and API access
• 7-10 years of professional experience working in a software development environment, ideally with exposure to big data and data-rich applications
• Experience working across disciplines, partnering with BI, ML, and product teams to translate ideas into customer-facing features
• 5+ years working in an AWS cloud-native environment
• Prior experience in data-rich SaaS products
• Experience with auth & access control for data-driven applications in a multitenant environment
• Familiarity with data governance concepts (lineage, permissions, quality checks)
• Deployment experience (AWS CDK, CI/CD, containerized services, serverless functions)
• Exposure to generative AI or LLM-based data exploration tools
• Comfortable operating in an AI-first engineering organization where planning, design, implementation, testing, and documentation are frequently augmented by agentic engineering tools such as Spec Kit, Claude Code, Cursor, GitHub Copilot, and similar platforms

Benefits

• Competitive salary and health benefits for eligible full time employees.
• 401k matching, and a subsidy for internet or cell phone.
• Generous PTO days, in addition to paid holidays that incorporate two days to honor and celebrate your heritage, culture, or traditions that matter most -- just tell us when!
• Half Day Summer Fridays!

Company Overview