Associate Engineer, Investment Data & Analytics

Harbourvest Partners (U.K.) Limited; Boston (MA); Hybrid; USD 155,000 - 165,000; Full time

Job summary

HarbourVest Partners (U.K.) Limited in Boston is seeking a data engineer to build and operate the firm’s data pipelines for private markets research and investment management.

You will collaborate with data engineering, DevOps, application and investment teams to deliver reliable, well-documented solutions, perform data quality checks, and support analytics using SQL, Python, DBT and Azure Data Factory within a SCRUM/AGILE SDLC.

Qualifications

• 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, with experience building ETL pipelines for large datasets.
• Experience with DBT and Azure Data Factory and Pipelines; exposure to Snowflake, MS Synapse, or Power BI a plus.
• Strong analytical, organizational, and problem‑solving skills with outstanding attention to detail, a genuine interest in financial markets, and comfort working in a scrum/agile SDLC environment.

Responsibilities

• Data engineering — build, test, and deploy pipelines and transformations across financial/economic datasets using modern data stacks.
• Infrastructure/platform engineering — run and monitor production data workflows, troubleshoot failures, and implement alerting, logging, and automated testing within CI/CD.
• Data Quality — develop validation and reconciliation checks, monitor pipeline health through KPIs, and own root‑cause analysis for data issues.
• Collaboration — partner with data engineering, DevOps, application, and investment teams to clarify requirements and deliver well‑documented solutions.
• And ... Problem solving — perform deep data analysis to support investment model research and identify manual processes worth automating.

Skills

Data engineering

SQL

Python

ETL pipelines

Education

Bachelor of Science (B.S) or equivalent in Computer Science

Master of Science (M.S) or equivalent in Computer Science

Tools

DBT

Azure Data Factory

Snowflake

MS Synapse

Power BI

Job description

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. 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.

About Investment Data and Analytics Our organization’s mission is to build technology that lets the firm systematize and scale its understanding of private markets and management of our funds. Our team works side-by-side with investors and quantitative researchers to innovate technology-driven investment processes; solve broad industry problems ranging from AI driven digitization of unstructured data to systematic monitoring of private equity portfolios. The Associate role combines hands‑on engineering execution with the opportunity to build deep expertise in private markets data. Working under the guidance of senior engineers, you will develop, test, and operate the pipelines and datasets our investment and research teams rely on — taking on progressively more complex ownership as your technical and domain judgment grows.

What you will do:

• Data engineering — build, test, and deploy pipelines and transformations across financial/economic datasets using modern data stacks.
• Infrastructure/platform engineering — run and monitor production data workflows, troubleshoot failures, and implement alerting, logging, and automated testing within CI/CD.
• Data Quality — develop validation and reconciliation checks, monitor pipeline health through KPIs, and own root‑cause analysis for data issues.
• Collaboration — partner with data engineering, DevOps, application, and investment teams to clarify requirements and deliver well‑documented solutions.
• And ... Problem solving — perform deep data analysis to support investment model research and identify manual processes worth automating.

What you bring:

• 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, with experience building ETL pipelines for large datasets.
• Experience with DBT and Azure Data Factory and Pipelines; exposure to Snowflake, MS Synapse, or Power BI a plus.
• Strong analytical, organizational, and problem‑solving skills with outstanding attention to detail, a genuine interest in financial markets, and comfort working in a scrum/agile SDLC environment.

Education Preferred

Bachelor of Science (B.S) or equivalent in Computer Science Master of Science (M.S) or equivalent in Computer Science

Experience

3-5 Years of Data Engineering or Data Operations experience preferred

Exposure to private equity or investment management data, partnering with product, application, and operations teams

Base Salary Range

$155,000.00 - $165,000.00 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.

HarbourVest is an independent, global private markets firm with over 43 years of experience and more than $146 billion of assets under management as of June 30, 2025. Our interwoven platform provides clients access to global primary funds, secondary transactions, direct co‑investments, real assets and infrastructure, and private credit. Our strengths extend across strategies, enabled by our team of more than 1,270 employees, including more than 230 investment professionals across Asia, Europe, and the Americas. Across our private markets platform, our team has committed more than $64 billion to newly‑formed funds, completed over $66 billion in secondary purchases, and invested over $49 billion in direct operating companies. We partner strategically and plan our offerings innovatively to provide our clients with access, insight, and global opportunities.