Sr. Data Engineer

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.

This hands‑on leadership role requires a proven history of guiding software projects to successful production. You should have extensive experience with private equity financial data and an entrepreneurial approach. You will build scalable data systems that directly support investment, fund, and portfolio decision‑making.

• 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!
• A track record of successful SaaS software delivery

• Take ownership and lead on features and functionality, design, code, run and maintain pipelines, transformations, views, test suites for applications and data validation purposes
• Mentor team members on software and data engineer guidelines and processes
• Lead work with Data, Dev Ops and Application development teams on integrating automated testing with CI/CD processes
• Involved in testing and deploying internal data quality applications
• Implement and deliver data quality pipeline frameworks
• Implement and deliver data warehouse pipelines and modeling

• Demonstrated ability Leading Data Engineering and Analysis teams
• Experience mentoring engineers on standard methodologies and establish guidelines while remaining hands‑on
• 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
• Experience with DBT and Azure Data Factory and Pipelines
• Experience with MS Synapse and Snowflake desired
• Familiarity working in a scrum/agile SDLC environment
• Preferred but not vital:
  Business Intelligence and Analytics application experience
• Experience delivering software applications and data to a wide audience

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

• 8+ Years of Data Engineering and software delivery experience preferred
• 3-5 Years of Technical Project Leadership experience
• Partner directly with investment, finance, and operations teams

$ - $

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.