Senior Software Engineer - Web Acquisition - Data Technologies

Key Skills

Big Data Technology, C++, Data science techniques, Design, Machine learning techniques, NoSQL, SDLC, SQL

Job Description

You will work closely with Business, Data, and other Engineering teams globally in a hybrid environment on all phases of software development using Agile methodologies. You will fully own products and collaborate with team members and partners to shape the team's direction and vision.

We’ll trust you to:

• Design, implement and own critical applications and components of our platform.
• Participate in the full SDLC of various components and systems that are required to be robust and scalable.
• Get to know engineering and data teams across Bloomberg, understand their application requirements and data access patterns.
• Understand the needs of our clients, translate requirements into features and enhancements to our web crawling platforms..
• Bring the latest and greatest innovation and technology stack features from the open source community to our products.

You’ll need to have:

• 4+ years experience working with C++ including server application, frameworks, CLI tools, and building microservices
• 4+ years experience building comprehensive, scalable, and extensible client-side apps with JavaScript (ES2015+)/TypeScript, Front End -Development frameworks/tools, such as React, Angular, Vue, Webpack, Babel, Twitter Bootstrap, etc.
• Prior contributions to system design and architecture and scaling fault-tolerant, distributed systems
• A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience

We’d like to see:

• Web Crawling or Web scraping experience
• Experience with low latency systems
• Experience working with Microservice architectures and methodologies such as Twelve-factor and Lambda
• Familiarity with Transport and Application layer protocols
• Knowledge of Big Data, SQL and NoSQL Databases, and Cloud-Based Object Stores
• Understanding of queuing and caching technologies
• Experience with Data Science and Machine Learning techniques to help with automation

Salary Range = 160000 - 240000 USD Annually + Benefits + Bonus

The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.