Data Engineer

Overview

Job Description Summary For over forty years, Harbour Vest 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.

Harbour Vest is an equal opportunity employer.

This position will be a hybrid work arrangement. You will receive 18 remote workdays per quarter to use at your discretion, subject to manager approval. For example, you may choose to work in the office 4 days per week and take one remote day weekly (typically 13 weeks per quarter), leaving 5 additional remote days to be used as needed.

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

• Assist the Quantitative Investment Systems group in testing and deploying internal applications
• Code, run and maintain test suites for applications and data validation purposes
• Take ownership of feature implementation on our Data Platform
• Work with Data, Dev Ops and Application development teams on integrating automated testing with CI/CD processes
• Implement data quality pipeline frameworks
• Implement data warehouse pipelines and modeling

• Demonstrated ability in Data Engineering and Analysis
• Proven experience with data-centric testing and deployment of Fin Tech 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
• Experience with DBT
• Experience with Azure resources like ADF, App services
• Experience with MS Synapse and Snowflake desired
• Preferred but not vital:
  Business Intelligence and experience in Analytics applications

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

• 2-3 Years of Data Engineering experience preferred

$ - $

This USD base salary range represents only one component of total compensation for this role and is provided in accordance with local requirements. This role is eligible for a discretionary annual bonus, which is determined based on individual and overall firm performance. In addition to salary and bonus, total compensation may include eligibility for long-term reward programs and a comprehensive total rewards package that may include retirement, health, insurance, paid time off, and wellness programs.

Our total rewards offerings are influenced by several business factors, and eligibility for certain components will vary by position and geography. Please note the posted ranges do not apply outside the U.S. and should not be converted to other currencies as a proxy for compensation in other countries.