Data Acquisition Engineer

Molecular Surroundings; United States; Remote; USD 136,000 - 221,000; Full time

Benefits offered by this job

Flexible schedule

Health insurance

Paid time off

Weekly DoorDash Meals

Job summary

Molecular Surroundings seeks a Data Acquisition Engineer to architect, build, and scale software for large-scale event-ticketing, dynamic pricing, and marketplace integrations.

You will lead cross-functional engineering efforts, deploying in AWS with Docker/Kubernetes, and developing AI-enhanced modules for forecasting and decisioning across a high-transaction environment.

Qualifications

• 8+ years of professional software engineering experience 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) 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.

Responsibilities

• 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 running on Docker and Kubernetes.

Skills

Node.js

TypeScript

Python

React

AWS

Docker

Kubernetes

RESTful API design

MongoDB

PostgreSQL

NestJS

Redis/Bull

Temporal

OpenTelemetry

Jaeger

Education

Bachelor's degree in Computer Science, Computer Engineering, or related discipline

Tools

NestJS

Fastify

React

Terraform

Pulumi

Terraform / CloudFormation

Docker

Kubernetes

AWS services (EC2, Lambda, API Gateway, S3)

OpenTelemetry

Jaeger

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