Operations Engineer

Summary

Join Arrived's Build for Scale team as their second hire and play a pivotal role in designing and building robust, scalable data systems. You will build production-grade internal systems to improve company efficiency and data-driven decision-making. Collaborate with engineering and business teams to define APIs, data contracts, and integration patterns. Lead technical projects from requirements gathering to deployment and maintenance. Maintain and scale data infrastructure, ensuring high availability and performance. Automate operational processes and implement proper data modeling, caching, and optimization strategies. This role requires strong programming skills in Python and SQL, experience with data pipeline tools, and a deep understanding of data engineering principles.

Requirements

• Software engineering background with strong programming skills in Python, SQL, and modern development practices
• Experience building and maintaining production data systems, APIs, or backend services
• Understanding of software engineering best practices: version control, testing, CI/CD, code review
• Hands-on experience with data pipeline tools (dbt, Fivetran, or similar)
• Strong SQL skills and experience with data warehouses (Snowflake)
• API development experience and understanding of RESTful services, webhooks, and data formats
• Knowledge of data modeling, schema design, and building scalable data architectures
• Experience automating business processes through code and low/no-code tools
• Ability to design fault-tolerant systems and implement proper backup/recovery procedures
• Knowledge of security best practices for internal systems and data handling
• Can translate complex technical concepts for non-technical stakeholders
• Experience working in cross-functional teams and leading technical initiatives
• Strong project management skills with ability to estimate, plan, and deliver technical projects
• Comfortable taking ownership of systems and being on-call for critical infrastructure

Responsibilities

• Build production data systems – design and implement scalable data pipelines, ETL processes, and APIs that handle structured and unstructured data from multiple sources
• Develop internal applications – write maintainable code for internal tools, automation services, and integrations
• Own system architecture – make technical decisions about data flow, system design, and technology stack choices that balance immediate needs with long-term scalability
• Partner with engineering teams – collaborate with Product and Engineering to define APIs, data contracts, and integration patterns
• Translate business requirements – work with Legal, Finance, and Investments teams to understand their needs and architect technical solutions
• Lead technical projects – own end-to-end delivery of complex systems from requirements gathering through deployment and maintenance
• Maintain production systems – ensure high availability, performance, and reliability of data infrastructure and internal applications
• Automate operational processes – replace manual workflows with robust, tested automation using appropriate technologies
• Scale data infrastructure – design systems that grow with the business, implementing proper data modeling, caching, and optimization strategies

Preferred Qualifications

Engineering Experience (2-4 years preferred)

Benefits

• Competitive salary & equity compensation
• A flexible PTO policy to allow our team to take time away whenever they need
• Employer sponsored Health, Dental, and Vision plans
• Every Arrived employee gets a monthly cash bonus to invest in Arrived properties so that they can start building passive income (we only ask that you don't quit your job and leave us high and dry when you’re swimming in dividends). 😊