Data Acquisition Engineer

Job Description Data Acquisition Engineer Fully Remote (U.S. only) | Full-time | $136,000 – $221,000 + performance bonus Job description: Data Acquisition Engineer Location: Fully Remote (U.S. Only) Compensation: $136,000 - $221,000 + Performance Bonus Job Type: Full-time About the Role We are seeking an exceptional Data Acquisition Engineer to architect, design, and build next-generation software systems for large-scale event-ticketing, dynamic pricing, and marketplace integrations. This is a high-impact technical leadership role ideal for a senior technologist who thrives on solving complex infrastructure challenges from the ground up. Developing proprietary tools, intelligent automation frameworks, and AI-driven decision systems that redefine efficiency across live-event commerce. You'll work closely with a Senior Backend Engineer powering the foundational tech stack and a product manager deeply experienced in the industry and lead cross-functional engineering efforts spanning data architecture, API frameworks, proxy and scraping infrastructure, and multi-layer user-interface systems serving tens of thousands of transactions daily. Key Responsibilities Architect and develop custom end-to-end software platforms powering ticket-marketplace operations, pricing algorithms, and automation - including our NestJS/Fastify API, Bull/Redis job pipelines, and Temporal-orchestrated workflows. Design and deploy scalable, cloud-native systems leveraging AWS (EC2, Lambda, API Gateway, S3, ECR, CloudFormation / Pulumi / Terraform), with services containerized in Docker and orchestrated via Kubernetes. Develop high-performance front-end interfaces and dashboards using React (or similar modern frameworks) emphasizing UX responsiveness and maintainability. Build and orchestrate proxy and scraping infrastructures capable of large-volume synchronization with intelligent throttling and resilience. Integrate and deploy AI-enhanced modules (e.g., demand forecasting, pricing prediction, fraud detection) using Python, TensorFlow, or PyTorch. Lead architecture reviews, enforce clean design principles, and mentor mid-level engineers in scalable code patterns and performance optimization. Collaborate across product, BI, and infrastructure teams to translate operational bottlenecks into automation and data-driven opportunities. Oversee security, compliance, and reliability for multi-tenant APIs, distributed services (AMQP messaging, MongoDB/Postgres data layers), and marketplace data handling. Continuously improve CI/CD pipelines (GitHub Actions), testing frameworks, and DevOps reliability, with full observability via OpenTelemetry and Jaeger. Minimum Qualifications 8+ years of professional software engineering experience with a record of shipping scalable, high-performance applications. Bachelor's degree in Computer Science, Computer Engineering, or related discipline (Master's preferred). Proven expertise building and operating proxy and scraping infrastructure at scale - including proxy pools, headless browser automation, and cost-aware throttling. Advanced proficiency in Node.js, TypeScript, and Python for backend systems and services (NestJS experience a strong plus). Experience with React for front-end systems and internal tools. Proven expertise in AWS cloud architecture, containerization (Docker, Kubernetes / Swarm), and infrastructure-as-code. Strong knowledge of NoSQL and relational databases (MongoDB, PostgreSQL, etc.) including schema design and performance tuning. Deep understanding of RESTful API design, authentication, rate-limiting, and security best practices. Demonstrated success integrating machine-learning models or AI frameworks into production environments. Excellent debugging, problem-solving, and architectural design skills. Preferred Qualifications Prior experience in event-ticketing, e-commerce, or real-time marketplace systems. Microservice and message-driven architecture experience (RabbitMQ / AMQP). Experience with workflow orchestration tools such as Temporal, Airflow, or AWS Step Functions. Advanced knowledge of AWS security, monitoring, and cost optimization. Familiarity with distributed tracing and observability tooling (OpenTelemetry, Jaeger). Publications, patents, or open-source contributions showing innovation and leadership. Familiarity with AI-assisted automation, proxy orchestration, or multi-layer data visualization frameworks. In a Typical Day, You Will Architect APIs, pipelines, and internal tools for real-time marketplace operations. Collaborate with product and infrastructure teams to deploy intelligent automation systems. Lead technical design reviews and ensure modular, maintainable codebases. Optimize and deploy AI-powered models for operational forecasting and decisioning. Maintain and monitor performance of high-throughput distributed systems (NestJS services, Redis/Bull queues, Temporal-orchestrated workflows, and AMQP-based messaging) running on Docker and Kubernetes. Interview Process Candidates will be invited to: Present a portfolio or GitHub repository showcasing architectural or AI-driven projects. Complete a technical case study demonstrating system design and optimization. Participate in a live technical interview focused on API integration, cloud architecture, and advanced coding practices. Why Join Us Competitive salary + bonus Opportunity to shape the future of event-ticketing automation and global marketplace intelligence. Work alongside the future of elite engineers solving complex, high-volume challenges at scale. High autonomy in a fast-moving, data-driven environment that rewards innovation and execution. Benefits: Flexible schedule Health insurance Paid time off Weekly DoorDash Meals