Data Engineer
Calabrio is looking for highly motivated Data Engineer to support and grow our Machine Learning & Artificial Intelligence practice. With ML and AI being among the many foci at Calabrio, valid data for research, testing, and development is crucial. The person in this pivotal role will have the opportunity to work with cutting-edge technology in a highly innovative environment, as part of a mature team. Experimentation and creativity for solving real world business problems are prized at Calabrio, and you'll have abundant opportunities to grow and make an impact from Day One.
What You'll Be Doing:
- Create and manage a scalable data practice
- Collaborate across the organization to build and gather data for our Machine Learning engineers
- Source additional relevant data through partnership with our customers, Account Managers, and other internal partners
- Build and/or acquire additional 3rd party data sets for machine learning research and testing
- Intensive web-based research
- Manage and organize data, including pre- and post- data processing, storage, and accessibility
- Ensure access to data and conduct overall maintenance of the system
- Formulate innovative approaches to identify and secure alternate sources of data
- Design and run crowdsourcing efforts to label data
- Validate data sets meet requirements for machine learning research
- Work with Calabrio's legal and IT team to ensure Calabrio's ability to safely and securely warehouse sensitive customer data
Requirements
Must Haves:
- Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent experience
- 2+ years’ experience working with data and data warehousing
- Familiarity with crowdsourcing platforms such as Amazon Mechanical Turks
- Experience with data integration
- Ability to write scripts (Python, R, JavaScript, bash, SQL, etc.) to validate and process data
- Ability to communicate clearly with engineers, customers, and executives
Nice to Haves:
- Experience with agile/SCRUM techniques
- Experience working with commercial B2B SaaS applications
- Working knowledge of AWS is a strong plus