Data Operations Engineer

HarbourVest Partners • Boston, MA

3d • $132,000 - $198,000 • Hybrid

About The Position

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. Our Quantitative Investment Science group is looking for a motivated Data Operations 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 source data, data analysis and data quality as well as process 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

Requirements

• Demonstrated ability in Data Engineering and Analysis
• 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
• Experience with DBT and Azure Data Factory and Pipelines
• Familiarity working in a scrum/agile SDLC environment
• Familiarity with private equity financial data
• Bachelor of Science (B.S) or equivalent experience
• 3-5 Years of Data Operations Engineering experience preferred

Nice To Haves

• Experience with MS Synapse and Snowflake desired
• Business Intelligence and experience in Analytics applications
• Master of Science (M.S) or equivalent experience

Responsibilities

• Own preparing data, testing and deploying financial applications
• Run and monitor data pipelines and maintain test suites for data upload, data quality and validation purposes
• Work with Data Engineering, DevOps and Application development teams on integrating automated testing with CI/CD processes
• Contribute to improve data warehouse pipelines and modeling
• Contribute to investment model research and design efforts providing deep data analysis
• Monitor data workflows, troubleshoot failures, and implement alerting and logging.
• Monitor data and pipeline health through KPIs
• Own incident response and root-cause analysis for data issues.
• Assist client partners with data integration, reporting, and tooling where needed.

What This Job Offers

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