Associate Data Engineer

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, which translates to 2-3 days minimum per week in the office.

The data engineer will work toward the transformation of our firm’s data infrastructure, primarily using the Snowflake data environment, plus the Azure data stack as well.

The resource joining us will partner with product owners, data owners, project managers, business users, peer data engineers, and infrastructure engineers to form complete end-to end-solutions. The resource will enjoy working in an evolving, fast-paced environment, and bring a work style marked by high energy, flexibility, quick learning, and collaboration.

The ideal candidate is someone who has:

• Successful track record contributing to data-platform projects involving modern data platform implementations (data lakes, data lakehouses, logical data warehouses, etc.)
• Familiarity with data schemas and schema design technique
• Ability to use data-flow schematics, mapping documents, and user stories, as basis for rigorous work assignments
• Perseverance, empathy, "give-and-take" attitude, and respect for the feedback and contributions of others
• Time management discipline

What you will do:

• Implement and support Snowflake-based data pipelines with source data originating in across a variety of technical environments
• Analyze business and technical requirements as basis for contributing to sophisticated conceptual, logical, and physical data models
• Design and build data validations, transformations, normalizations, reports and extracts, and integration processes, using Snowflake, Dagster, and Azure data stacks
• Create and implement CI/CD pipelines
• Organize work and adhere to thorough work tracking, using Agile techniques

What you bring:

• SQL and Python knowledge; Snowflake and/or Azure experience a big plus
• Highly collaborative attitudes and work style; welcoming the feedback of others
• Confidence and skill to document work items and explain deliverables
• Capability to balance demands of scope, schedule, and budget

Education Preferred:

• Bachelor's degree or equivalent experience

Experience

• 3-5 years of experience

#LI-Hybrid