Job Description Summary
For over forty years, HarbourVest has been home to a committed team of professionals with an entrepreneurial spirit and a desire to deliver impactful solutions to our clients and investing partners. As our global firm grows, we continue to add individuals who seek a collaborative, open-door culture that values diversity and innovative thinking.
In our collegial environment that’s marked by low turnover and high energy, you’ll be inspired to grow and thrive. Here, you will be encouraged to build on your strengths and acquire new skills and experiences.
We are committed to fostering an environment of inclusion that promotes mutual respect among all employees. Understanding and valuing these differences optimizes the potential of both the individual and the firm.
HarbourVest is an equal opportunity employer.
This position will be a hybrid work arrangement, which translates to 2-3 days minimum per week in the office.
Position Overview
The hands-on Junior Quant Data Engineer will be a member of the Quantitative Investment Science team and will help with designing, architecting, and developing a cloud-based large data and analytics platform using both traditional RDBMS systems like SQL Server and modern tools (such as Spark/Data bricks/Azure Synapse or equivalent) and best design practices within our cloud-based Investment Data Analytics Platform, a strategic asset that drives quantitative research and investment decision-making. The person will also be responsible for identifying the right tool for the job and doing quick prototypes/POCs to validate them. They flourish in an evolving fast-paced environment and bring a work style marked by high energy, flexibility, quick learning, and collaboration.
What you will do:
- Issue resolution
- Version control, release planning, and deployment preparation
- Contribution to logical and physical data models
- Creation and updates to project artifacts and tools such as task boards, problem lists, user stories, and technological documentation
- Analyze, modify, enhance, and tackle complex stored procedures for reporting and integration
- Provide realistic effort estimates and project timelines for development and maintenance projects
- Work closely with business analysts to understand requirements and communicate solutions
- Alignment to project timelines with quality results and participate in agile ceremonies
- And other responsibilities as required
What you bring:
- 3+ years’ proven experience in crafting, architecting, and developing data and analytics platforms
- 3+ years of SQL using complex queries and writing stored procedures
- 2+ years of Python experience
- 3+ years of Agile methodology experience
Education Preferred:
- Bachelor of Arts (B.A) or equivalent experience
- Bachelor of Science (B.S) or equivalent experience