- Take part in technical leadership, system architecture, and the iterative development of the DIG team's code base
- Mentor juniors in engineering best practices, including code reviews, good testing practices, design, and implementation
- Help design, build and maintain scalable, available, and robust systems to acquire, ingest, process and analyze data
- Elevate experimental machine learning applications and features developed by our analytics team to production grade.
- Continuously improve upon our tooling architecture via improvements of the existing systems.
- Communicate work to and receive feedback by technical and non-technical audiences.
- Occasionally participate in the interview process of future DIG engineers, including coding and system design interviews
Qualifications
A Bachelor’s degree or higher in a quantitative field (computer science, engineering, etc.)
- 3+ years of relevant experience, including having participated in system design interviews
- experience providing technical leadership and/or mentorship
- Solid experience with at least one modern programming language (Python, Scala, Java, Go, R)
- Good knowledge and understanding of HTML/CSS/JS in the modern web
- Experience working and interfacing with relational databases (PostgreSQL preferred)
- Experience with distributed systems
- Experience with web crawling and scraping
- Some experience using cloud computing platforms to build processes (AWS, Google Cloud Platform, Microsoft Azure)
- Test-driven development (TDD), test automation, CI / CD experience
- Knowledge of DevOps principles
- Exceptional project management skills
- Excellent interpersonal and communication skills
- Flexibility to work as both a team member in a collaborative setting and as an individual contributor
- Ability to thrive and be effective in fast-paced settings
- Ability to work independently in remote and hybrid workplace settings