Data Acquisition Engineer

Fully Remote (U.S. only) | Full-time | $136,000 -- $221,000 + performance bonus

Data Acquisition Engineer

Location:

Fully Remote (U.S. Only)

Compensation: $136,000 - $221,000 + Performance Bonus

Job Type: Full-time

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.

• 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, Cloud Formation / 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, Tensor Flow, 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 (Git Hub Actions), testing frameworks, and Dev Ops reliability, with full observability via Open Telemetry and Jaeger.

• 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, Type Script, 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 No
  
  SQL 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.

• 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 (Open Telemetry, Jaeger).
• Publications, patents, or open-source contributions showing innovation and leadership.
• Familiarity with AI-assisted automation, proxy orchestration, or multi-layer data visualization frameworks.

• Architect APIs, pipelines, and internal tools for real-time marketplace operations.
• Collaborate…