Associate Engineer, Investment Data & Analytics

HarbourVest Partners • Boston, MA

1d • $155,000 - $165,000 • Hybrid

About The Position

HarbourVest’s Investment Data and Analytics organization builds technology to systematize and scale the firm’s understanding of private markets and management of its funds. The team works alongside investors and quantitative researchers to develop technology-driven investment processes and address industry problems, including AI-driven digitization of unstructured data and systematic monitoring of private equity portfolios.

The Associate Engineer combines hands-on engineering execution with the opportunity to build expertise in private markets data. Under the guidance of senior engineers, the role develops, tests, and operates pipelines and datasets used by investment and research teams, taking on progressively more complex ownership as technical and domain judgment develops.

This position has a hybrid work arrangement, with 18 remote workdays per quarter available at the employee’s discretion, subject to manager approval.

Requirements

• Demonstrated ability in data engineering and analysis, including data-centric testing and deployment of FinTech applications.
• Proficiency in SQL (MSSQL or equivalent RDBMS) and Python.
• Experience building ETL pipelines for large datasets.
• Strong analytical, organizational, and problem-solving skills and outstanding attention to detail.
• Genuine interest in financial markets.
• Comfort working in a scrum/agile SDLC environment.
• 3–5 years of Data Engineering or Data Operations experience is preferred.

Nice To Haves

• Experience with DBT and Azure Data Factory and Pipelines.
• Exposure to Snowflake, MS Synapse, or Power BI.
• Bachelor of Science (B.S.) or equivalent in Computer Science.
• Master of Science (M.S.) or equivalent in Computer Science.
• Exposure to private equity or investment management data.
• Experience partnering with product, application, and operations teams.

Responsibilities

• Build, test, and deploy pipelines and transformations across financial and economic datasets using modern data stacks.
• Run and monitor production data workflows, troubleshoot failures, and implement alerting, logging, and automated testing within CI/CD.
• Develop data validation and reconciliation checks, monitor pipeline health through KPIs, and conduct root-cause analysis for data issues.
• Partner with data engineering, DevOps, application, and investment teams to clarify requirements and deliver well-documented solutions.
• Perform deep data analysis to support investment model research and identify manual processes that could be automated.

Benefits

• Discretionary annual bonus based on individual and overall firm performance.
• Retirement contributions.
• Health insurance.
• Income protection.
• Paid time off and leave benefits.
• Well-being programs.
• Potential participation in long-term reward programs, typically for more senior-level roles.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level