Sr. Data Engineer
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 seeking a Lead Data Engineer to fully manage and deliver our private equity data platform. 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. 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! A track record of successful SaaS software delivery
Requirements
- 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 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
- Experience with MS Synapse and Snowflake desired
- Familiarity working in a scrum/agile SDLC environment
- 8+ Years of Data Engineering and software delivery experience preferred
- 3-5 Years of Technical Project Leadership experience
Nice To Haves
- Business Intelligence and Analytics application experience
- Experience delivering software applications and data to a wide audience
Responsibilities
- 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, DevOps and Application development teams on integrating automated testing with CI/CD processes
- Involved in testing and deploying internal data quality applications
- Implement and delivery data quality pipeline frameworks
- Implement and deliver data warehouse pipelines and modeling
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
