Staff Analytics Engineer

8+ years in a software engineering position with a history of architecting and designing new products and technologies
Experience with Kotlin or similar programming languages
Strong proficiency in optimizing queries inside OLAP/Columnar databases, such as Clickhouse or Redshift
Strong understanding of data modeling for analytical use cases
Experience with running complex analytics over a large scale of data quickly
Experience building cloud native applications on AWS/Azure/Google Cloud
A degree in Computer Science, Information Science, or a related discipline
Willingness to learn about new technologies while simultaneously developing expertise in a business domain/problem space
Understand the value of automated tests at all levels
Ability to focus on short-term deliverables while maintaining a big-picture long term perspective
An aptitude for complex problem-solving
Ability to communicate with colleagues at all levels
Serious interest in having fun at work

Contribute design skills and technical expertise to a team where design, strategy, and engineering collaborate closely
Be involved in the entire software development process, from requirements and design reviews through implementation
Impact a developing tech stack based on AWS back-end services
Participate in the creation and construction of developer-based automation that leads to scalable, high-quality applications customers will depend on to run their businesses
Coach, mentor, and inspire teams of product engineers that are responsible for delivering high performing, secure enterprise applications
Think creatively, own problems, seek solutions, and communicate clearly along the way
Contribute to a collaborative environment deeply rooted in learning, teaching, and transparency

Buy-side technology experience
Experience with GitHub Copilot or ChatGPT
Experience with ETL Pipelines that move data into OLAP systems
Familiar with performance concepts and methodologies: TWR, Brinson Attribution, Profit and Loss