Data Engineer

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.

Our Quantitative Investment Science group is looking for a motivated Software Quality Assurance Engineer to help produce innovative applications that create competitive advantage for HarbourVest in the Private Equity space. This engineer will contribute to this effort through their focus on application and data quality as well as test automation.

The ideal candidate is someone who is:

• A self-starter with a love for technology, software application delivery, and mathematical applications!
• Excellent interpersonal and team collaboration capabilities
• Strong analytical, organizational, and problem-solving skills coupled with outstanding attention to detail
• A passion for finance and financial markets

What you will do:

• Assist the Quantitative Investment Systems group in testing and deploying internal applications
• Code, run and maintain test suites for applications and data validation purposes
• Work with Data, DevOps and Application development teams on integrating automated testing with CI/CD processes
• Contribute to data quality pipeline framework

What you bring:

• Demonstrated ability in Software Quality Assurance
• Proven experience with data-centric testing and deployment of FinTech based applications, data analysis, data pipelines and ETL for large datasets
• Proficiency in MSSQL or equivalent SQL RDBMS
• Proficiency in Python
• Familiarity working in a scrum/agile SDLC environment
• Preferred but not vital: Business Intelligence and Data Mining application experience

Education Preferred

• Bachelor of Science (B.S) or equivalent experience
• Master of Science (M.S) or equivalent experience

Experience

• 2-3 Years of automation experience preferred

#LI-Hybrid